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A

abs() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
abs() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
abs() - Method in class net.finmath.montecarlo.RandomVariable
 
abs() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
abs() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
abs() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → Math.abs(x), i.e. x → |x| to this random variable.
abs() - Method in class net.finmath.stochastic.Scalar
 
AbstractAnalyticProduct - Class in net.finmath.analytic.products
 
AbstractAnalyticProduct() - Constructor for class net.finmath.analytic.products.AbstractAnalyticProduct
 
AbstractAnalyticProduct - Class in net.finmath.marketdata.products
 
AbstractAnalyticProduct() - Constructor for class net.finmath.marketdata.products.AbstractAnalyticProduct
 
AbstractAssetMonteCarloProduct - Class in net.finmath.montecarlo.assetderivativevaluation.products
Base calls for product that need an AbstractLIBORMarketModel as base class
AbstractAssetMonteCarloProduct() - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.AbstractAssetMonteCarloProduct
 
AbstractCurve - Class in net.finmath.analytic.model.curves
Abstract base class for a curve.
AbstractCurve(String, LocalDate) - Constructor for class net.finmath.analytic.model.curves.AbstractCurve
 
AbstractCurve - Class in net.finmath.marketdata.model.curves
Abstract base class for a curve.
AbstractCurve(String, LocalDate) - Constructor for class net.finmath.marketdata.model.curves.AbstractCurve
 
AbstractForwardCurve - Class in net.finmath.analytic.model.curves
Abstract base class for a forward curve, extending a curve object It stores the maturity of the underlying index (paymentOffset) and the associated discount curve.
AbstractForwardCurve(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, String) - Constructor for class net.finmath.analytic.model.curves.AbstractForwardCurve
Construct a base forward curve with a reference date and a payment offset.
AbstractForwardCurve(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, String) - Constructor for class net.finmath.analytic.model.curves.AbstractForwardCurve
Construct a base forward curve with a reference date and a payment offset.
AbstractForwardCurve(String, LocalDate, double, String) - Constructor for class net.finmath.analytic.model.curves.AbstractForwardCurve
Construct a base forward curve with a reference date and a payment offset.
AbstractForwardCurve - Class in net.finmath.marketdata.model.curves
Abstract base class for a forward curve, extending a curve object It stores the maturity of the underlying index (paymentOffset) and the associated discount curve.
AbstractForwardCurve(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, String) - Constructor for class net.finmath.marketdata.model.curves.AbstractForwardCurve
Construct a base forward curve with a reference date and a payment offset.
AbstractForwardCurve(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, String) - Constructor for class net.finmath.marketdata.model.curves.AbstractForwardCurve
Construct a base forward curve with a reference date and a payment offset.
AbstractForwardCurve(String, LocalDate, double, String) - Constructor for class net.finmath.marketdata.model.curves.AbstractForwardCurve
Construct a base forward curve with a reference date and a payment offset.
AbstractIndex - Class in net.finmath.montecarlo.interestrate.products.indices
Base class for indices.
AbstractIndex(String, String) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.AbstractIndex
Initialize name and currency of an index.
AbstractIndex(String) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.AbstractIndex
Initialize the name of an index.
AbstractIndex() - Constructor for class net.finmath.montecarlo.interestrate.products.indices.AbstractIndex
Initialize an abstract index which does not have a dedicated name or currency, e.g. a function of other indicies.
AbstractLIBORCovarianceModel - Class in net.finmath.montecarlo.interestrate.modelplugins
A base class and interface description for the instantaneous covariance of an forward rate interest rate model.
AbstractLIBORCovarianceModel(TimeDiscretizationInterface, TimeDiscretizationInterface, int) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
Constructor consuming time discretizations, which are handled by the super class.
AbstractLIBORCovarianceModelParametric - Class in net.finmath.montecarlo.interestrate.covariancemodels
Base class for parametric covariance models, see also AbstractLIBORCovarianceModel.
AbstractLIBORCovarianceModelParametric(TimeDiscretizationInterface, TimeDiscretizationInterface, int) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.AbstractLIBORCovarianceModelParametric
Constructor consuming time discretizations, which are handled by the super class.
AbstractLIBORCovarianceModelParametric - Class in net.finmath.montecarlo.interestrate.modelplugins
Base class for parametric covariance models, see also AbstractLIBORCovarianceModel.
AbstractLIBORCovarianceModelParametric(TimeDiscretizationInterface, TimeDiscretizationInterface, int) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
Constructor consuming time discretizations, which are handled by the super class.
AbstractLIBORMonteCarloProduct - Class in net.finmath.montecarlo.interestrate.products
Base calls for product that need an AbstractLIBORMarketModel as base class
AbstractLIBORMonteCarloProduct(String) - Constructor for class net.finmath.montecarlo.interestrate.products.AbstractLIBORMonteCarloProduct
 
AbstractLIBORMonteCarloProduct() - Constructor for class net.finmath.montecarlo.interestrate.products.AbstractLIBORMonteCarloProduct
 
AbstractModel - Class in net.finmath.montecarlo.model
This class is an abstract base class to implement a model provided to an AbstractProcess.
AbstractModel() - Constructor for class net.finmath.montecarlo.model.AbstractModel
 
AbstractModelInterface - Interface in net.finmath.montecarlo.model
The interface for a model of a stochastic process X where X = f(Y) and
\[ dY_{j} = \mu_{j} dt + \lambda_{1,j} dW_{1} + \ldots + \lambda_{m,j} dW_{m} \] The value of Y(0) is provided by the method AbstractModelInterface.getInitialState().
AbstractMonteCarloProduct - Class in net.finmath.montecarlo
Base class for products requiring an MonteCarloSimulationInterface for valuation.
AbstractMonteCarloProduct(String) - Constructor for class net.finmath.montecarlo.AbstractMonteCarloProduct
 
AbstractMonteCarloProduct() - Constructor for class net.finmath.montecarlo.AbstractMonteCarloProduct
 
AbstractNotional - Interface in net.finmath.montecarlo.interestrate.products.components
Base class for notional classes.
AbstractPeriod - Class in net.finmath.montecarlo.interestrate.products.components
Base class for a period.
AbstractPeriod(double, double, double, double, AbstractNotional, AbstractProductComponent, double) - Constructor for class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
Initialize basic properties of the period.
AbstractPeriod(double, double, double, double, AbstractNotional, AbstractProductComponent) - Constructor for class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
Initialize basic properties of the period using the idealized daycount faction periodEnd-periodStart.
AbstractProcess - Class in net.finmath.montecarlo.process
This class is an abstract base class to implement a multi-dimensional multi-factor Ito process.
AbstractProcess(TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.process.AbstractProcess
Create a discretization scheme / a time discrete process.
AbstractProcessInterface - Interface in net.finmath.montecarlo.process
The interface for a process (numerical scheme) of a stochastic process X where X = f(Y) and Y is an Itô process
\[ dY_{j} = \mu_{j} dt + \lambda_{1,j} dW_{1} + \ldots + \lambda_{m,j} dW_{m} \] The parameters are provided by a model implementing AbstractModelInterface: The value of Y(0) is provided by the method AbstractModelInterface.getInitialState().
AbstractProductComponent - Class in net.finmath.montecarlo.interestrate.products.components
Base class for product components.
AbstractProductComponent(String) - Constructor for class net.finmath.montecarlo.interestrate.products.components.AbstractProductComponent
 
AbstractProductComponent() - Constructor for class net.finmath.montecarlo.interestrate.products.components.AbstractProductComponent
 
AbstractProductFourierTransform - Class in net.finmath.fouriermethod.products
 
AbstractProductFourierTransform() - Constructor for class net.finmath.fouriermethod.products.AbstractProductFourierTransform
 
AbstractRandomVariableDifferentiableFactory - Class in net.finmath.montecarlo.automaticdifferentiation
A random variable factory extending AbstractRandomVariableFactory providing random variables implementing RandomVariableDifferentiableInterface.
AbstractRandomVariableDifferentiableFactory(AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.AbstractRandomVariableDifferentiableFactory
Construct an object extending AbstractRandomVariableDifferentiableFactory with a specific AbstractRandomVariableFactory for the storage of values.
AbstractRandomVariableDifferentiableFactory() - Constructor for class net.finmath.montecarlo.automaticdifferentiation.AbstractRandomVariableDifferentiableFactory
 
AbstractRandomVariableFactory - Class in net.finmath.montecarlo
 
AbstractRandomVariableFactory() - Constructor for class net.finmath.montecarlo.AbstractRandomVariableFactory
 
AbstractRealIntegral - Class in net.finmath.integration
A real integral with lower and upper integration bounds.
AbstractRealIntegral(double, double) - Constructor for class net.finmath.integration.AbstractRealIntegral
Create a real integral with lower and upper integration bounds.
AbstractSwaptionMarketData - Interface in net.finmath.marketdata.model.volatilities
Basic interface to be implemented by classes providing swaption market data.
AbstractVolatilitySurface - Class in net.finmath.analytic.model.volatilities
Abstract base class for a volatility surface.
AbstractVolatilitySurface(String, LocalDate) - Constructor for class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
AbstractVolatilitySurface - Class in net.finmath.marketdata.model.volatilities
Abstract base class for a volatility surface.
AbstractVolatilitySurface(String, LocalDate) - Constructor for class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
AbstractVolatilitySurfaceParametric - Class in net.finmath.marketdata.model.volatilities
Base class for parametric volatility surfaces, implementing a generic calibration algorithm.
AbstractVolatilitySurfaceParametric(String, LocalDate) - Constructor for class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurfaceParametric
 
AccceptanceRejectionRandomNumberGenerator - Class in net.finmath.randomnumbers
Class implementing RandomNumberGenerator by the acceptance rejection method.
AccceptanceRejectionRandomNumberGenerator(RandomNumberGenerator, DoubleUnaryOperator, DoubleUnaryOperator, DoubleUnaryOperator, double) - Constructor for class net.finmath.randomnumbers.AccceptanceRejectionRandomNumberGenerator
 
AccrualAccount - Class in net.finmath.montecarlo.interestrate.products.components
Implementation of a general accrual account.
AccrualAccount(String, AnalyticModelIndex, AbstractIndex, double) - Constructor for class net.finmath.montecarlo.interestrate.products.components.AccrualAccount
Create an accrual account.
accrue(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
accrue(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
accrue(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariable
 
accrue(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
accrue(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
accrue(RandomVariableInterface, double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x * (1.0 + rate * periodLength) to this random variable.
accrue(RandomVariableInterface, double) - Method in class net.finmath.stochastic.Scalar
 
AccruedInterest - Class in net.finmath.montecarlo.interestrate.products.indices
An accrued interest index.
AccruedInterest(String, String, LocalDate, LocalDate, LocalDate, AbstractIndex, Double, DayCountConventionInterface, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.AccruedInterest
Create an accrued interest index.
AccruingNotional - Class in net.finmath.montecarlo.interestrate.products.components
 
AccruingNotional(AbstractNotional, AbstractPeriod) - Constructor for class net.finmath.montecarlo.interestrate.products.components.AccruingNotional
Creates a notion where the notional of the period start is calculated as the notional of the previous period's period end and the notional at period end is calculated as being accrued via getCoupon on the current period.
accumulate(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableAccumulatorInterface
 
accumulate(double, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableAccumulatorInterface
 
actionPerformed(ActionEvent) - Method in class net.finmath.swing.JNumberField
 
add(E) - Method in class net.finmath.analytic.calibration.ParameterAggregation
Add an object this parameterization.
add(E) - Method in class net.finmath.marketdata.calibration.ParameterAggregation
Add an object this parameterization.
add(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
add(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
add(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
add(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
add(LinearInterpolatedTimeDiscreteProcess) - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
Create a new linear interpolated time discrete process by using the time discretization of this process and the sum of this process and the given one as its values.
add(double) - Method in class net.finmath.montecarlo.RandomVariable
 
add(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
add(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
add(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
add(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
add(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
add(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x + value to this random variable.
add(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x+randomVariable to this random variable.
add(double) - Method in class net.finmath.stochastic.Scalar
 
add(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
add(double) - Method in class net.finmath.swing.JNumberField
 
addCurve(String, CurveInterface) - Method in class net.finmath.analytic.model.AnalyticModel
 
addCurve(CurveInterface) - Method in class net.finmath.analytic.model.AnalyticModel
 
addCurve(String, CurveInterface) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Add a reference to a given curve under a given name to this model.
addCurve(String, CurveInterface) - Method in class net.finmath.marketdata.model.AnalyticModel
 
addCurve(CurveInterface) - Method in class net.finmath.marketdata.model.AnalyticModel
 
addCurve(String, CurveInterface) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Add a reference to a given curve under a given name to this model.
addCurves(CurveInterface...) - Method in class net.finmath.analytic.model.AnalyticModel
 
addCurves(Set<CurveInterface>) - Method in class net.finmath.analytic.model.AnalyticModel
 
addCurves(CurveInterface...) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Create a new analytic model consisting of a clone of this one together with the given curves added.
addCurves(Set<CurveInterface>) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Create a new analytic model consisting of a clone of this one together with the given curves added.
addCurves(CurveInterface...) - Method in class net.finmath.marketdata.model.AnalyticModel
 
addCurves(Set<CurveInterface>) - Method in class net.finmath.marketdata.model.AnalyticModel
 
addCurves(CurveInterface...) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Create a new analytic model consisting of a clone of this one together with the given curves added.
addCurves(Set<CurveInterface>) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Create a new analytic model consisting of a clone of this one together with the given curves added.
addDiscountFactor(double, RandomVariableInterface, boolean) - Method in class net.finmath.analytic.model.curves.DiscountCurve
 
addDiscountFactor(double, double, boolean) - Method in class net.finmath.marketdata.model.curves.DiscountCurve
 
addPoint(double, RandomVariableInterface, boolean) - Method in class net.finmath.analytic.model.curves.Curve
Add a point to this curve.
addPoint(double, RandomVariableInterface, boolean) - Method in class net.finmath.analytic.model.curves.Curve.CurveBuilder
 
addPoint(double, RandomVariableInterface, boolean) - Method in interface net.finmath.analytic.model.curves.CurveBuilderInterface
Add a point to the curve.
addPoint(double, RandomVariableInterface, boolean) - Method in class net.finmath.analytic.model.curves.ForwardCurve
 
addPoint(double, double, boolean) - Method in class net.finmath.marketdata.model.curves.Curve
Add a point to this curve.
addPoint(double, double, boolean) - Method in class net.finmath.marketdata.model.curves.Curve.CurveBuilder
 
addPoint(double, double, boolean) - Method in interface net.finmath.marketdata.model.curves.CurveBuilderInterface
Add a point to the curve.
addPoint(double, double, boolean) - Method in class net.finmath.marketdata.model.curves.ForwardCurve
 
addProduct(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
addProduct(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
addProduct(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
addProduct(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
addProduct(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariable
 
addProduct(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
addProduct(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
addProduct(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
addProduct(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
addProduct(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
addProduct(RandomVariableInterface, double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x + factor1 * factor2
addProduct(RandomVariableInterface, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x + factor1 * factor2
addProduct(RandomVariableInterface, double) - Method in class net.finmath.stochastic.Scalar
 
addProduct(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
addRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
addRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
addRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
addRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
addRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
addRatio(RandomVariableInterface, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x + numerator / denominator
addRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
addSumProduct(List<RandomVariableInterface>, List<RandomVariableInterface>) - Method in class net.finmath.montecarlo.RandomVariable
 
addSumProduct(List<RandomVariableInterface>, List<RandomVariableInterface>) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies \( x \mapsto x + \sum_{i=0}^{n-1} factor1_{i} * factor2_{i}
addToAdmissibleValueIndex(int) - Method in class net.finmath.swing.JNumberField
 
addVolatilitySurface(VolatilitySurfaceInterface) - Method in class net.finmath.analytic.model.AnalyticModel
 
addVolatilitySurface(VolatilitySurfaceInterface) - Method in class net.finmath.marketdata.model.AnalyticModel
 
addVolatilitySurfaces(VolatilitySurfaceInterface...) - Method in class net.finmath.analytic.model.AnalyticModel
 
addVolatilitySurfaces(Set<AbstractVolatilitySurface>) - Method in class net.finmath.analytic.model.AnalyticModel
 
addVolatilitySurfaces(VolatilitySurfaceInterface...) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
 
addVolatilitySurfaces(Set<AbstractVolatilitySurface>) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Create a new analytic model consisting of a clone of this one together with the given volatility surfaces added.
addVolatilitySurfaces(VolatilitySurfaceInterface...) - Method in class net.finmath.marketdata.model.AnalyticModel
 
addVolatilitySurfaces(Set<AbstractVolatilitySurface>) - Method in class net.finmath.marketdata.model.AnalyticModel
 
addVolatilitySurfaces(VolatilitySurfaceInterface...) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
 
addVolatilitySurfaces(Set<AbstractVolatilitySurface>) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Create a new analytic model consisting of a clone of this one together with the given volatility surfaces added.
AnalyticFormulas - Class in net.finmath.functions
This class implements some functions as static class methods.
AnalyticModel - Class in net.finmath.analytic.model
Implements a collection of market data objects (e.g., discount curves, forward curve) which provide interpolation of market data or other derived quantities ("calibrated curves").
AnalyticModel() - Constructor for class net.finmath.analytic.model.AnalyticModel
Create an empty analytic model.
AnalyticModel(AbstractRandomVariableFactory) - Constructor for class net.finmath.analytic.model.AnalyticModel
Create an empty analytic model using a given AbstractRandomVariableFactory for construction of result types.
AnalyticModel(CurveInterface[]) - Constructor for class net.finmath.analytic.model.AnalyticModel
Create an analytic model with the given curves.
AnalyticModel(AbstractRandomVariableFactory, CurveInterface[]) - Constructor for class net.finmath.analytic.model.AnalyticModel
Create an analytic model with the given curves using a given AbstractRandomVariableFactory for construction of result types.
AnalyticModel(Collection<CurveInterface>) - Constructor for class net.finmath.analytic.model.AnalyticModel
Create an analytic model with the given curves.
AnalyticModel - Class in net.finmath.marketdata.model
Implements a collection of market data objects (e.g., discount curves, forward curve) which provide interpolation of market data or other derived quantities ("calibrated curves").
AnalyticModel() - Constructor for class net.finmath.marketdata.model.AnalyticModel
Create an empty analytic model.
AnalyticModel(CurveInterface[]) - Constructor for class net.finmath.marketdata.model.AnalyticModel
Create an analytic model with the given curves.
AnalyticModel(Collection<CurveInterface>) - Constructor for class net.finmath.marketdata.model.AnalyticModel
Create an analytic model with the given curves.
AnalyticModelForwardCurveIndex - Class in net.finmath.montecarlo.interestrate.products.indices
An index which is given by a name referencing a curve of an analytic model.
AnalyticModelForwardCurveIndex(String, String, double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelForwardCurveIndex
Creates a forward rate index for a given period start offset (offset from fixing) and period length.
AnalyticModelIndex - Class in net.finmath.montecarlo.interestrate.products.indices
An index which is given by a name referencing a curve of an analytic model.
AnalyticModelIndex(String, String, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelIndex
Creates an analytic model index using a given fixing offset (in days / 365).
AnalyticModelInterface - Interface in net.finmath.analytic.model
A collection of objects representing analytic valuations, i.e., curves and volatility surfaces.
AnalyticModelInterface - Interface in net.finmath.marketdata.model
A collection of objects representing analytic valuations, i.e., curves and volatility surfaces.
AnalyticProductInterface - Interface in net.finmath.analytic.products
The interface which has to be implemented by a product which may be evaluated using an AnalyticModel.
AnalyticProductInterface - Interface in net.finmath.marketdata.products
The interface which has to be implemented by a product which may be evaluated using an AnalyticModel.
apply(double) - Method in class net.finmath.fouriermethod.models.BatesModel
 
apply(double) - Method in class net.finmath.fouriermethod.models.BlackScholesModel
 
apply(double) - Method in class net.finmath.fouriermethod.models.HestonModel
 
apply(double) - Method in interface net.finmath.fouriermethod.models.ProcessCharacteristicFunctionInterface
Returns the characteristic function of X(t), where X is this stochastic process.
apply(Complex) - Method in class net.finmath.fouriermethod.products.DigitalOption
 
apply(Complex) - Method in class net.finmath.fouriermethod.products.EuropeanOption
 
apply(Double, Double) - Method in class net.finmath.interpolation.BiLinearInterpolation
 
apply(DoubleUnaryOperator) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
apply(DoubleBinaryOperator, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
apply(DoubleTernaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
apply(DoubleUnaryOperator) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
apply(DoubleBinaryOperator, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
apply(DoubleTernaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
apply(DoubleUnaryOperator) - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
Create a new process consisting of the interpolation of the random variables obtained by applying the given function to this process discrete set of random variables.
apply(DoubleUnaryOperator) - Method in class net.finmath.montecarlo.RandomVariable
 
apply(DoubleBinaryOperator, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
apply(DoubleTernaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
apply(DoubleBinaryOperator, DoubleBinaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
apply(DoubleUnaryOperator) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
apply(DoubleBinaryOperator, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
apply(DoubleBinaryOperator, DoubleBinaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
apply(DoubleTernaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
apply(DoubleUnaryOperator) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
apply(DoubleBinaryOperator, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
apply(DoubleTernaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
apply(DoubleUnaryOperator) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → operator(x) to this random variable.
apply(DoubleBinaryOperator, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → operator(x,y) to this random variable, where x is this random variable and y is a given random variable.
apply(DoubleTernaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → operator(x,y,z) to this random variable, where x is this random variable and y and z are given random variable.
apply(DoubleUnaryOperator) - Method in class net.finmath.stochastic.Scalar
 
apply(DoubleBinaryOperator, RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
apply(DoubleTernaryOperator, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
applyAsDouble(double, double, double) - Method in interface net.finmath.functions.DoubleTernaryOperator
Applies this operator to the given operands.
applyAsDouble(double) - Method in class net.finmath.interpolation.RationalFunctionInterpolation
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
applyStateSpaceTransform(int, RandomVariableInterface) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Applies the state space transform fi to the given state random variable such that Yi → fi(Yi) =: Xi.
applyStateSpaceTransform(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
 
applyStateSpaceTransformInverse(int, RandomVariableInterface) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
ARMAGARCH - Class in net.finmath.timeseries.models.parametric
Lognormal process with ARMAGARCH(1,1) volatility.
ARMAGARCH(TimeSeriesInterface) - Constructor for class net.finmath.timeseries.models.parametric.ARMAGARCH
 
AsianOption - Class in net.finmath.montecarlo.assetderivativevaluation.products
Implements the valuation of an Asian option.
AsianOption(double, double, TimeDiscretizationInterface, Integer) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.AsianOption
Construct a product representing an Asian option on an asset S (where S the asset with index 0 from the model - single asset case).
AsianOption(double, double, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.AsianOption
Construct a product representing an Asian option on an asset S (where S the asset with index 0 from the model - single asset case).
AssetModelDescriptor - Interface in net.finmath.modelling.descriptor
Marker interface for descriptors describing an asset model.
AssetModelMonteCarloSimulationInterface - Interface in net.finmath.montecarlo.assetderivativevaluation
Basic interface which has to be implemented by Monte Carlo models for asset processes.
average() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
average() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
average() - Method in class net.finmath.montecarlo.RandomVariable
 
average() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
average() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
average() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns a random variable which is deterministic and corresponds the expectation of this random variable.
average() - Method in class net.finmath.stochastic.Scalar
 

B

BachelierModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements a (variant of the) Bachelier model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
BachelierModel(double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
Create a Monte-Carlo simulation using given time discretization.
bachelierOptionImpliedVolatility(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Bachelier option implied volatility of a call, i.e., the payoff max(S(T)-K,0), where S follows a normal process with constant volatility.
bachelierOptionValue(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the option value of a call, i.e., the payoff max(S(T)-K,0), where S follows a normal process with constant volatility, i.e., a Bachelier model \[ \mathrm{d} S(t) = r S(t) \mathrm{d} t + \sigma \mathrm{d}W(t) \]
bachelierOptionValue(RandomVariableInterface, RandomVariableInterface, double, double, RandomVariableInterface) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the option value of a call, i.e., the payoff max(S(T)-K,0) P, where S follows a normal process with constant volatility, i.e., a Bachelier model \[ \mathrm{d} S(t) = r S(t) \mathrm{d} t + \sigma \mathrm{d}W(t) \]
barrier(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
barrier(RandomVariableInterface, RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
barrier(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
barrier(RandomVariableInterface, RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
barrier(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
barrier(RandomVariableInterface, RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariable
 
barrier(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
barrier(RandomVariableInterface, RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
barrier(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
barrier(RandomVariableInterface, RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
barrier(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → (trigger ≥ 0 ?
barrier(RandomVariableInterface, RandomVariableInterface, double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → (trigger ≥ 0 ?
barrier(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
barrier(RandomVariableInterface, RandomVariableInterface, double) - Method in class net.finmath.stochastic.Scalar
 
BasketOption - Class in net.finmath.montecarlo.assetderivativevaluation.products
Implements valuation of a European option on a basket of asset.
BasketOption(double, double, double[]) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.BasketOption
Construct a product representing an European option on an asset S (where S the asset with index 0 from the model - single asset case).
BatesModel - Class in net.finmath.fouriermethod.models
Implements the characteristic function of a Bates model.
BatesModel(double, double, double[], double, double[], double[], double[], double[], double[], double, double) - Constructor for class net.finmath.fouriermethod.models.BatesModel
Create a two factor Bates model.
BatesModel(double, double, double[], double[], double[], double[], double[], double[], double, double) - Constructor for class net.finmath.fouriermethod.models.BatesModel
Create a two factor Bates model.
BatesModel(double, double, double, double, double, double, double, double, double, double, double) - Constructor for class net.finmath.fouriermethod.models.BatesModel
Create a one factor Bates model.
BermudanDigitalOption - Class in net.finmath.montecarlo.assetderivativevaluation.products
This class implements the valuation of a Bermudan digital option paying
\( N_{i} \cdot \mathbb{1}(S(T_{i}) - K_{i}) \) at \( T_{i} \),
when exercised in \( T_{i} \), where \( N_{i} \) is the notional, \( \mathbb{1} \) is the indicator function, \( S \) is the underlying, \( K_{i} \) is the strike and \( T_{i} \) the exercise date.
BermudanDigitalOption(double[], double[], double[], BermudanDigitalOption.ExerciseMethod, Map<String, Object>) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.BermudanDigitalOption
Create a Bermudan option paying N(i) * (S(T(i)) - K(i)) at T(i), when exercised in T(i), where N(i) is the notional, S is the underlying, K(i) is the strike and T(i) the exercise date.
BermudanDigitalOption.ExerciseMethod - Enum in net.finmath.montecarlo.assetderivativevaluation.products
 
BermudanOption - Class in net.finmath.montecarlo.assetderivativevaluation.products
This class implements the valuation of a Bermudan option paying
N(i) * (S(T(i)) - K(i)) at T(i),
when exercised in T(i), where N(i) is the notional, S is the underlying, K(i) is the strike and T(i) the exercise date.
BermudanOption(double[], double[], double[], BermudanOption.ExerciseMethod) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption
Create a Bermudan option paying N(i) * (S(T(i)) - K(i)) at T(i), when exercised in T(i), where N(i) is the notional, S is the underlying, K(i) is the strike and T(i) the exercise date.
BermudanOption(double[], double[], double[]) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption
Create a Bermudan option paying N(i) * (S(T(i)) - K(i)) at T(i), when exercised in T(i), where N(i) is the notional, S is the underlying, K(i) is the strike and T(i) the exercise date.
BermudanOption.ExerciseMethod - Enum in net.finmath.montecarlo.assetderivativevaluation.products
 
BermudanSwaption - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a Bermudan swaption under a LIBORModelMonteCarloSimulationInterface
BermudanSwaption(boolean[], double[], double[], double[], double[], double[], boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
BermudanSwaption(boolean[], double[], double[], double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
BiLinearInterpolation - Class in net.finmath.interpolation
Simple bi-linear interpolation of data points \( z_{i,j} \) over a Cartesian grid \( (x_{i},y_{j}) \).
BiLinearInterpolation(double[], double[], double[][]) - Constructor for class net.finmath.interpolation.BiLinearInterpolation
 
blackModelCapletValue(double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculate the value of a caplet assuming the Black'76 model.
blackModelDgitialCapletValue(double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculate the value of a digital caplet assuming the Black'76 model.
blackModelSwaptionValue(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculate the value of a swaption assuming the Black'76 model.
blackScholesATMOptionValue(double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Black-Scholes option value of an atm call option.
BlackScholesDeltaHedgedPortfolio - Class in net.finmath.montecarlo.assetderivativevaluation.products
This class implements a delta hedged portfolio of an European option (a hedge simulator).
BlackScholesDeltaHedgedPortfolio(double, double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.BlackScholesDeltaHedgedPortfolio
Construction of a delta hedge portfolio assuming a Black-Scholes model.
blackScholesDigitalOptionDelta(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the delta of a digital option under a Black-Scholes model
blackScholesDigitalOptionRho(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the rho of a digital option under a Black-Scholes model
blackScholesDigitalOptionValue(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Black-Scholes option value of a digital call option.
blackScholesDigitalOptionVega(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the vega of a digital option under a Black-Scholes model
blackScholesGeneralizedOptionValue(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Black-Scholes option value of a call, i.e., the payoff max(S(T)-K,0) P, where S follows a log-normal process with constant log-volatility.
blackScholesGeneralizedOptionValue(RandomVariableInterface, RandomVariableInterface, double, double, RandomVariableInterface) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Black-Scholes option value of a call, i.e., the payoff max(S(T)-K,0) P, where S follows a log-normal process with constant log-volatility.
BlackScholesHedgedPortfolio - Class in net.finmath.montecarlo.assetderivativevaluation.products
This class implements a delta and delta-gamma hedged portfolio of an European option (a hedge simulator).
BlackScholesHedgedPortfolio(double, double, double, double, double, double, BlackScholesHedgedPortfolio.HedgeStrategy) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.BlackScholesHedgedPortfolio
Construction of a delta-gamma hedge portfolio assuming a Black-Scholes model.
BlackScholesHedgedPortfolio(double, double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.BlackScholesHedgedPortfolio
Construction of a hedge portfolio assuming a Black-Scholes model for the hedge ratios.
BlackScholesHedgedPortfolio.HedgeStrategy - Enum in net.finmath.montecarlo.assetderivativevaluation.products
 
BlackScholesModel - Class in net.finmath.fouriermethod.models
Implements the characteristic function of a Black Scholes model.
BlackScholesModel(BlackScholesModelDescriptor) - Constructor for class net.finmath.fouriermethod.models.BlackScholesModel
Create a model from a model desciptor.
BlackScholesModel(LocalDate, double, DiscountCurveInterface, double, DiscountCurveInterface) - Constructor for class net.finmath.fouriermethod.models.BlackScholesModel
 
BlackScholesModel(double, double, double, double) - Constructor for class net.finmath.fouriermethod.models.BlackScholesModel
 
BlackScholesModel(double, double, double) - Constructor for class net.finmath.fouriermethod.models.BlackScholesModel
 
BlackScholesModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements a Black Scholes Model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
BlackScholesModel(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
Create a Black-Scholes specification implementing AbstractModel.
BlackScholesModel(double, double, double, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
Create a Monte-Carlo simulation using given time discretization.
BlackScholesModel(double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
Create a Black-Scholes model from given parameters.
BlackScholesModelDescriptor - Class in net.finmath.modelling.descriptor
 
BlackScholesModelDescriptor(LocalDate, Double, DiscountCurveInterface, DiscountCurveInterface, Double) - Constructor for class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
BlackScholesModelFourierFactory - Class in net.finmath.modelling.modelfactory
 
BlackScholesModelFourierFactory() - Constructor for class net.finmath.modelling.modelfactory.BlackScholesModelFourierFactory
Create factory.
BlackScholesModelMonteCarloFactory - Class in net.finmath.modelling.descriptor
 
BlackScholesModelMonteCarloFactory(AbstractRandomVariableFactory, IndependentIncrementsInterface) - Constructor for class net.finmath.modelling.descriptor.BlackScholesModelMonteCarloFactory
 
BlackScholesModelMonteCarloFactory - Class in net.finmath.modelling.modelfactory
 
BlackScholesModelMonteCarloFactory(AbstractRandomVariableFactory, IndependentIncrementsInterface) - Constructor for class net.finmath.modelling.modelfactory.BlackScholesModelMonteCarloFactory
 
BlackScholesModelMonteCarloFiniteDifference1D - Class in net.finmath.modelling.descriptor
 
BlackScholesModelMonteCarloFiniteDifference1D(double) - Constructor for class net.finmath.modelling.descriptor.BlackScholesModelMonteCarloFiniteDifference1D
 
BlackScholesModelMonteCarloFiniteDifference1D - Class in net.finmath.modelling.modelfactory
 
BlackScholesModelMonteCarloFiniteDifference1D(double) - Constructor for class net.finmath.modelling.modelfactory.BlackScholesModelMonteCarloFiniteDifference1D
 
BlackScholesModelWithCurves - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements a Black Scholes Model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
BlackScholesModelWithCurves(RandomVariableInterface, DiscountCurveInterface, RandomVariableInterface, DiscountCurveInterface, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
Create a Black-Scholes specification implementing AbstractModel.
BlackScholesModelWithCurves(Double, DiscountCurveInterface, Double, DiscountCurveInterface, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
Create a Black-Scholes specification implementing AbstractModel.
blackScholesOptionDelta(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the delta of a call option under a Black-Scholes model The method also handles cases where the forward and/or option strike is negative and some limit cases where the forward or the option strike is zero.
blackScholesOptionDelta(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the delta of a call option under a Black-Scholes model The method also handles cases where the forward and/or option strike is negative and some limit cases where the forward or the option strike is zero.
blackScholesOptionDelta(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, double, RandomVariableInterface) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the delta of a call option under a Black-Scholes model The method also handles cases where the forward and/or option strike is negative and some limit cases where the forward or the option strike is zero.
blackScholesOptionGamma(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
This static method calculated the gamma of a call option under a Black-Scholes model
blackScholesOptionGamma(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
This static method calculated the gamma of a call option under a Black-Scholes model
blackScholesOptionImpliedVolatility(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Black-Scholes option implied volatility of a call, i.e., the payoff max(S(T)-K,0), where S follows a log-normal process with constant log-volatility.
blackScholesOptionRho(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
This static method calculated the rho of a call option under a Black-Scholes model
blackScholesOptionTheta(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
This static method calculated the vega of a call option under a Black-Scholes model
blackScholesOptionValue(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Black-Scholes option value of a call, i.e., the payoff max(S(T)-K,0), where S follows a log-normal process with constant log-volatility.
blackScholesOptionValue(double, double, double, double, double, boolean) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the Black-Scholes option value of a call, i.e., the payoff max(S(T)-K,0), or a put, i.e., the payoff max(K-S(T),0), where S follows a log-normal process with constant log-volatility.
blackScholesOptionVega(double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
This static method calculated the vega of a call option under a Black-Scholes model
BlackScholesTheta - Class in net.finmath.finitedifference.experimental
Implementation of the theta schemes for the Black-Scholes model (still experimental).
BlackScholesTheta() - Constructor for class net.finmath.finitedifference.experimental.BlackScholesTheta
 
BlendedLocalVolatilityModel - Class in net.finmath.montecarlo.interestrate.covariancemodels
Blended model (or displaced diffusion model) build on top of a standard covariance model.
BlendedLocalVolatilityModel(AbstractRandomVariableFactory, AbstractLIBORCovarianceModelParametric, ForwardCurveInterface, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
Displaced diffusion model build on top of a standard covariance model.
BlendedLocalVolatilityModel(AbstractRandomVariableFactory, AbstractLIBORCovarianceModelParametric, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
Displaced diffusion model build on top of a standard covariance model.
BlendedLocalVolatilityModel(AbstractLIBORCovarianceModelParametric, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
Displaced diffusion model build on top of a standard covariance model.
BlendedLocalVolatilityModel - Class in net.finmath.montecarlo.interestrate.modelplugins
Blended model (or displaced diffusion model) build on top of a standard covariance model.
BlendedLocalVolatilityModel(AbstractRandomVariableFactory, AbstractLIBORCovarianceModelParametric, ForwardCurveInterface, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
Displaced diffusion model build on top of a standard covariance model.
BlendedLocalVolatilityModel(AbstractRandomVariableFactory, AbstractLIBORCovarianceModelParametric, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
Displaced diffusion model build on top of a standard covariance model.
BlendedLocalVolatilityModel(AbstractLIBORCovarianceModelParametric, ForwardCurveInterface, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
Displaced diffusion model build on top of a standard covariance model.
BlendedLocalVolatilityModel(AbstractLIBORCovarianceModelParametric, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
Displaced diffusion model build on top of a standard covariance model.
Bond - Class in net.finmath.marketdata.model.bond
Implements the valuation of a bond (zero-coupon, fixed coupon or floating coupon) with unit notional of 1 using curves: a forward curve, if the bond has floating rate coupons a discount curve as a base curve for discounting a survival probability curve for additional credit risk related discount factor a basis factor curve for additional bond related discount factor Support for day counting is provided via the class implementing ScheduleInterface.
Bond(ScheduleInterface, String, String, String, String, double, double, double) - Constructor for class net.finmath.marketdata.model.bond.Bond
Creates a bond.
Bond(ScheduleInterface, String, String, String, double, double) - Constructor for class net.finmath.marketdata.model.bond.Bond
Creates a fixed coupon bond with recovery rate.
Bond(ScheduleInterface, String, String, String, String, double, double) - Constructor for class net.finmath.marketdata.model.bond.Bond
Creates a fixed or floating bond without recovery rate.
Bond(ScheduleInterface, String, String, String, double) - Constructor for class net.finmath.marketdata.model.bond.Bond
Creates a fixed coupon bond without recovery rate.
Bond - Class in net.finmath.montecarlo.interestrate.products
This class implements the valuation of a zero coupon bond.
Bond(double) - Constructor for class net.finmath.montecarlo.interestrate.products.Bond
 
BondCurve - Class in net.finmath.marketdata.model.bond
Implements the bond curve as a curve object, see CurveInterface.
BondCurve(String, LocalDate, CurveInterface, CurveInterface, BondCurve.Type) - Constructor for class net.finmath.marketdata.model.bond.BondCurve
Creates a bond curve.
BondCurve.Type - Enum in net.finmath.marketdata.model.bond
Possible curve types, where the first term stands for the reference discount curve and the second term stands for the spread curve.
BrownianBridge - Class in net.finmath.montecarlo
This class implements a Brownian bridge, i.e., samples of realizations of a Brownian motion conditional to a given start and end value.
BrownianBridge(TimeDiscretizationInterface, int, int, RandomVariableInterface[], RandomVariableInterface[]) - Constructor for class net.finmath.montecarlo.BrownianBridge
Construct a Brownian bridge, bridging from a given start to a given end.
BrownianBridge(TimeDiscretizationInterface, int, int, RandomVariableInterface, RandomVariableInterface) - Constructor for class net.finmath.montecarlo.BrownianBridge
Construct a Brownian bridge, bridging from a given start to a given end.
BrownianMotion - Class in net.finmath.montecarlo
Implementation of a time-discrete n-dimensional Brownian motion W = (W1,...
BrownianMotion(TimeDiscretizationInterface, int, int, int, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.BrownianMotion
Construct a Brownian motion.
BrownianMotion(TimeDiscretizationInterface, int, int, int) - Constructor for class net.finmath.montecarlo.BrownianMotion
Construct a Brownian motion.
BrownianMotionInterface - Interface in net.finmath.montecarlo
Interface description of a time-discrete n-dimensional Brownian motion W = (W1,...
BrownianMotionView - Class in net.finmath.montecarlo
A Brownian motion which is defined by some factors of a given Brownian motion, i.e., for a given multi-factorial Brownian motion W, this Brownian motion is given by ( W(i[0]), W(i[1]) W(i[2]), ..., W(i[n-1]) ) where i is a given array of integers.
BrownianMotionView(BrownianMotionInterface, Integer[]) - Constructor for class net.finmath.montecarlo.BrownianMotionView
Create a sub-view on a Brownian motion.
build() - Method in class net.finmath.analytic.model.curves.Curve.CurveBuilder
 
build() - Method in interface net.finmath.analytic.model.curves.CurveBuilderInterface
Build the curve.
build() - Method in class net.finmath.marketdata.model.curves.Curve.CurveBuilder
 
build() - Method in interface net.finmath.marketdata.model.curves.CurveBuilderInterface
Build the curve.
build() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve.CurveBuilder
 
build() - Method in class net.finmath.marketdata.model.curves.SeasonalCurve.CurveBuilder
 
bus(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
bus(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
bus(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
bus(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
bus(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
bus(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → randomVariable-x to this random variable.
bus(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
BusinessdayCalendar - Class in net.finmath.time.businessdaycalendar
Base class for all business day calendars.
BusinessdayCalendar() - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendar
 
BusinessdayCalendarAny - Class in net.finmath.time.businessdaycalendar
A business day calendar, where every day is a business day.
BusinessdayCalendarAny() - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarAny
Create a business day calendar, where every day is a business day.
BusinessdayCalendarExcludingGivenHolidays - Class in net.finmath.time.businessdaycalendar
An abstract base class for a business day calendar, where every day is a business day, except weekends days provided by a Set provided by the method getHolidays.
BusinessdayCalendarExcludingGivenHolidays(String, BusinessdayCalendarInterface, boolean) - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenHolidays
 
BusinessdayCalendarExcludingGivenSetOfHolidays - Class in net.finmath.time.businessdaycalendar
A class for a business day calendar, where every day is a business day, except weekends days provided by a Set.
BusinessdayCalendarExcludingGivenSetOfHolidays(String, BusinessdayCalendarInterface, boolean, Set<LocalDate>) - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenSetOfHolidays
 
BusinessdayCalendarExcludingGivenSetOfHolidays(String, boolean, Set<LocalDate>) - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenSetOfHolidays
 
BusinessdayCalendarExcludingLONHolidays - Class in net.finmath.time.businessdaycalendar
A business day calendar, where every day is a business day, except for weekends and London holidays
BusinessdayCalendarExcludingLONHolidays() - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingLONHolidays
Create LONDON business day calendar.
BusinessdayCalendarExcludingLONHolidays(BusinessdayCalendarInterface) - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingLONHolidays
Create LONDON business day calendar using a given business day calendar as basis.
BusinessdayCalendarExcludingNYCHolidays - Class in net.finmath.time.businessdaycalendar
A business day calendar, where every day is a business day, except for weekends and New York holidays
BusinessdayCalendarExcludingNYCHolidays() - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingNYCHolidays
Create NEW YORK business day calendar.
BusinessdayCalendarExcludingNYCHolidays(BusinessdayCalendarInterface) - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingNYCHolidays
Create NEW YORK business day calendar using a given business day calendar as basis.
BusinessdayCalendarExcludingTARGETHolidays - Class in net.finmath.time.businessdaycalendar
A business day calendar, where every day is a business day, expect the TARGET holidays.
BusinessdayCalendarExcludingTARGETHolidays() - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingTARGETHolidays
Create TARGET business day calendar.
BusinessdayCalendarExcludingTARGETHolidays(BusinessdayCalendarInterface) - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingTARGETHolidays
Create TARGET business day calendar using a given business day calendar as basis.
BusinessdayCalendarExcludingWeekends - Class in net.finmath.time.businessdaycalendar
A business day calendar, where every day is a business day, expect SATURDAY and SUNDAY.
BusinessdayCalendarExcludingWeekends() - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingWeekends
Create business day calendar.
BusinessdayCalendarExcludingWeekends(BusinessdayCalendarInterface) - Constructor for class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingWeekends
Create business day calendar using a given business day calendar as basis.
BusinessdayCalendarInterface - Interface in net.finmath.time.businessdaycalendar
 
BusinessdayCalendarInterface.DateOffsetUnit - Enum in net.finmath.time.businessdaycalendar
 
BusinessdayCalendarInterface.DateRollConvention - Enum in net.finmath.time.businessdaycalendar
 

C

cache() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
cache() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
cache() - Method in class net.finmath.montecarlo.RandomVariable
 
cache() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
cache() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
cache() - Method in interface net.finmath.stochastic.RandomVariableInterface
Return a cacheable version of this object (often a self-reference).
cache() - Method in class net.finmath.stochastic.Scalar
 
CalculationException - Exception in net.finmath.exception
 
CalculationException() - Constructor for exception net.finmath.exception.CalculationException
A wrapper for exceptions associated with numerical algorithm of finmath lib
CalculationException(String) - Constructor for exception net.finmath.exception.CalculationException
Create an exception with error message.
CalculationException(Throwable) - Constructor for exception net.finmath.exception.CalculationException
Create an exception from another exception.
CalculationException(String, Throwable) - Constructor for exception net.finmath.exception.CalculationException
Create an exception from another exception with error message.
CalibratedCurves - Class in net.finmath.analytic.calibration
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products.
CalibratedCurves(List<CalibratedCurves.CalibrationSpec>, AnalyticModelInterface, double, double) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(CalibratedCurves.CalibrationSpec[], AnalyticModel, double, double) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(CalibratedCurves.CalibrationSpec[], AnalyticModel, double) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(CalibratedCurves.CalibrationSpec[], AnalyticModel) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(Collection<CalibratedCurves.CalibrationSpec>) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products.
CalibratedCurves(CalibratedCurves.CalibrationSpec[]) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products.
CalibratedCurves - Class in net.finmath.marketdata.calibration
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products.
CalibratedCurves(List<CalibratedCurves.CalibrationSpec>, AnalyticModelInterface, double, double) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(CalibratedCurves.CalibrationSpec[], AnalyticModel, double, double) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(CalibratedCurves.CalibrationSpec[], AnalyticModel, double) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(CalibratedCurves.CalibrationSpec[], AnalyticModel) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products and a given model.
CalibratedCurves(Collection<CalibratedCurves.CalibrationSpec>) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products.
CalibratedCurves(CalibratedCurves.CalibrationSpec[]) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves
Generate a collection of calibrated curves (discount curves, forward curves) from a vector of calibration products.
CalibratedCurves.CalibrationSpec - Class in net.finmath.analytic.calibration
Specification of calibration product.
CalibratedCurves.CalibrationSpec - Class in net.finmath.marketdata.calibration
Specification of calibration product.
CalibrationItem(AbstractLIBORMonteCarloProduct, double, double) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel.CalibrationItem
 
CalibrationItem(AbstractLIBORMonteCarloProduct, double, double) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.CalibrationItem
 
CalibrationItem(AbstractLIBORMonteCarloProduct, double, double) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement.CalibrationItem
 
calibrationProduct - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModel.CalibrationItem
 
calibrationProduct - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.CalibrationItem
 
calibrationProduct - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement.CalibrationItem
 
CalibrationSpec(String, String, ScheduleInterface, String, double, String, ScheduleInterface, String, double, String, String, double) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
CalibrationSpec(String, ScheduleInterface, String, double, String, ScheduleInterface, String, double, String, String, double) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
CalibrationSpec(String, double[], String, double, String, double[], String, double, String, String, double) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
CalibrationSpec(String, double[], String, double, String, String, double) - Constructor for class net.finmath.analytic.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
CalibrationSpec(String, String, ScheduleInterface, String, double, String, ScheduleInterface, String, double, String, String, double) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
CalibrationSpec(String, ScheduleInterface, String, double, String, ScheduleInterface, String, double, String, String, double) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
CalibrationSpec(String, double[], String, double, String, double[], String, double, String, String, double) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
CalibrationSpec(String, double[], String, double, String, String, double) - Constructor for class net.finmath.marketdata.calibration.CalibratedCurves.CalibrationSpec
Calibration specification.
calibrationTargetValue - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModel.CalibrationItem
 
calibrationTargetValue - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.CalibrationItem
 
calibrationTargetValue - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement.CalibrationItem
 
calibrationWeight - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModel.CalibrationItem
 
calibrationWeight - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.CalibrationItem
 
calibrationWeight - Variable in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement.CalibrationItem
 
cancel(boolean) - Method in class net.finmath.concurrency.FutureWrapper
 
CancelableSwap - Class in net.finmath.montecarlo.interestrate.products
Implements the pricing of a cancelable swap under a LIBORModelMonteCarloSimulationInterface
CancelableSwap(boolean[], double[], double[], double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.CancelableSwap
 
Cap - Class in net.finmath.marketdata.products
Implements the valuation of a cap via an analytic model, i.e. the specification of a forward curve, discount curve and volatility surface.
Cap(ScheduleInterface, String, double, boolean, String, String, VolatilitySurfaceInterface.QuotingConvention) - Constructor for class net.finmath.marketdata.products.Cap
Create a Caplet with a given schedule, strike on a given forward curve (by name) with a given discount curve and volatility surface (by name).
Cap(ScheduleInterface, String, double, boolean, String, String) - Constructor for class net.finmath.marketdata.products.Cap
Create a Caplet with a given schedule, strike on a given forward curve (by name) with a given discount curve and volatility surface (by name).
cap(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
cap(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
cap(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
cap(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
cap(double) - Method in class net.finmath.montecarlo.RandomVariable
 
cap(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
cap(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
cap(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
cap(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
cap(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
cap(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → min(x,cap) to this random variable.
cap(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → min(x,cap) to this random variable.
cap(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
Caplet - Class in net.finmath.montecarlo.interestrate.products
Implements the pricing of a Caplet using a given AbstractLIBORMarketModel.
Caplet(double, double, double, double, boolean, Caplet.ValueUnit) - Constructor for class net.finmath.montecarlo.interestrate.products.Caplet
Create a caplet or a floorlet.
Caplet(double, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.Caplet
Create a caplet or a floorlet.
Caplet(double, double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.Caplet
Create a caplet.
Caplet.ValueUnit - Enum in net.finmath.montecarlo.interestrate.products
 
CapletVolatilities - Class in net.finmath.marketdata.model.volatilities
A very simple container for Caplet volatilities.
CapletVolatilities(String, LocalDate, ForwardCurveInterface, double[], double[], double[], VolatilitySurfaceInterface.QuotingConvention, DiscountCurveInterface) - Constructor for class net.finmath.marketdata.model.volatilities.CapletVolatilities
 
CapletVolatilitiesParametric - Class in net.finmath.marketdata.model.volatilities
A parametric caplet volatility surface created form the four parameter model for the instantaneous forward rate lognormal volatility given by \( \sigma(t) = (a + b t) \exp(- c t) + d \).
CapletVolatilitiesParametric(String, LocalDate, ForwardCurveInterface, DiscountCurveInterface, double, double, double, double, double, VolatilitySurfaceInterface.QuotingConvention) - Constructor for class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
Create a model with parameters a,b,c,d defining a lognormal volatility surface.
CapletVolatilitiesParametric(String, LocalDate, ForwardCurveInterface, DiscountCurveInterface, double, double, double, double, double) - Constructor for class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
Create a model with parameters a,b,c,d defining a lognormal volatility surface.
CapletVolatilitiesParametric(String, LocalDate, double, double, double, double, double) - Constructor for class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
Create a model with parameters a,b,c,d.
CapletVolatilitiesParametric(String, LocalDate, double, double, double, double) - Constructor for class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
Create a model with parameters a,b,c,d.
CapletVolatilitiesParametricDisplacedFourParameterAnalytic - Class in net.finmath.marketdata.model.volatilities
A parametric caplet volatility surface created form the four parameter model for the instantaneous displaced forward rate lognormal volatility given by \( \sigma(t) = (a + b t) \exp(- c t) + d \).
CapletVolatilitiesParametricDisplacedFourParameterAnalytic(String, LocalDate, ForwardCurveInterface, DiscountCurveInterface, double, boolean, double, double, double, double, double) - Constructor for class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricDisplacedFourParameterAnalytic
Create a model with parameters a,b,c,d defining a displaced lognormal volatility surface.
CapletVolatilitiesParametricFourParameterPicewiseConstant - Class in net.finmath.marketdata.model.volatilities
A parametric caplet volatility surface created form the picewise constant (numerical integration) of the four parameter model for the instantaneous forward rate volatility given by \( \sigma(t) = (a + b t) \exp(- c t) + d \).
CapletVolatilitiesParametricFourParameterPicewiseConstant(String, LocalDate, double, double, double, double, TimeDiscretizationInterface) - Constructor for class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricFourParameterPicewiseConstant
Create a model with parameters a,b,c,d.
CappedFlooredIndex - Class in net.finmath.montecarlo.interestrate.products.indices
An capped and floored index paying min(max(index(t),floor(t)),cap(t)), where index, floor and cap are indices, i.e., objects implementing AbstractIndex.
CappedFlooredIndex(AbstractIndex, AbstractIndex, AbstractIndex) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.CappedFlooredIndex
Create an capped and floored index paying min(max(index(t),floor(t)),cap(t)).
Cashflow - Class in net.finmath.analytic.products
Implements the valuation of a single cashflow by a discount curve.
Cashflow(String, double, double, boolean, String) - Constructor for class net.finmath.analytic.products.Cashflow
Create a single deterministic cashflow at a fixed time.
Cashflow - Class in net.finmath.marketdata.products
Implements the valuation of a single cashflow by a discount curve.
Cashflow(String, double, double, boolean, String) - Constructor for class net.finmath.marketdata.products.Cashflow
Create a single deterministic cashflow at a fixed time.
Cashflow - Class in net.finmath.montecarlo.interestrate.products.components
A single deterministic cashflow at a fixed time
Cashflow(String, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Cashflow
Create a single deterministic cashflow at a fixed time.
Cashflow(double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Cashflow
Create a single deterministic cashflow at a fixed time.
CharacteristicFunctionInterface - Interface in net.finmath.fouriermethod
Interface which has to be implemented by characteristic functions of random variables, e.g., Fourier transforms of values (payoffs).
clone() - Method in class net.finmath.analytic.model.AnalyticModel
 
clone() - Method in interface net.finmath.analytic.model.AnalyticModelInterface
 
clone() - Method in class net.finmath.analytic.model.curves.AbstractCurve
 
clone() - Method in class net.finmath.analytic.model.curves.Curve
 
clone() - Method in interface net.finmath.analytic.model.curves.CurveInterface
Create a deep copied clone.
clone() - Method in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
clone() - Method in class net.finmath.marketdata.model.AnalyticModel
 
clone() - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
 
clone() - Method in class net.finmath.marketdata.model.curves.AbstractCurve
 
clone() - Method in class net.finmath.marketdata.model.curves.Curve
 
clone() - Method in interface net.finmath.marketdata.model.curves.CurveInterface
Create a deep copied clone.
clone() - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
clone() - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
clone() - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
clone() - Method in class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
 
clone() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
clone() - Method in class net.finmath.marketdata.model.curves.SeasonalCurve
 
clone() - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.AbstractLIBORCovarianceModelParametric
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.DisplacedLocalVolatilityModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelExponentialForm5Param
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelStochasticVolatility
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFourParameterExponentialForm
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFromGivenMatrix
 
clone() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelPiecewiseConstant
 
clone() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
clone() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.DisplacedLocalVolatilityModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.HullWhiteLocalVolatilityModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelThreeParameterExponentialDecay
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm7Param
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticHestonVolatility
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticVolatility
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModel
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialForm
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialFormIntegrated
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFromGivenMatrix
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelMaturityDependentFourParameterExponentialForm
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTimeHomogenousPiecewiseConstant
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTwoParameterExponentialForm
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModelParametric
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureCovarianceModelParametric
 
clone() - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingInterface
 
clone() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingPicewiseConstant
 
clone() - Method in class net.finmath.montecarlo.process.AbstractProcess
 
clone() - Method in interface net.finmath.montecarlo.process.AbstractProcessInterface
Create and return a clone of this process.
clone() - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
 
clone() - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
clone() - Method in interface net.finmath.montecarlo.process.ProcessInterface
Create and return a clone of this process.
clone() - Method in class net.finmath.optimizer.LevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer.
clone() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer.
clone() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer.
CMSOption - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of an option on a CMS rate.
CMSOption(double, double[], double[], double[], double) - Constructor for class net.finmath.montecarlo.interestrate.products.CMSOption
Create the option on a CMS rate.
compareTo(Period) - Method in class net.finmath.time.Period
 
computeSeasonalAdjustments(LocalDate, Map<LocalDate, Double>, int) - Static method in class net.finmath.marketdata.model.curves.SeasonalCurve
 
computeSeasonalAdjustments(double[], int, int) - Static method in class net.finmath.marketdata.model.curves.SeasonalCurve
Computes annualized seasonal adjustments from given monthly realized CPI values.
ConditionalExpectationEstimatorInterface - Interface in net.finmath.stochastic
The interface which has to be implemented by a fixed conditional expectation operator, i.e., E( · | Z ) for a fixed Z.
ConstantMaturitySwaprate - Class in net.finmath.montecarlo.interestrate.products.indices
An idealized (single curve) CMS index with given maturity and given period length.
ConstantMaturitySwaprate(String, String, double, double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
Create a CMS index with given fixing offset and given period lengths.
ConstantMaturitySwaprate(double, double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
Create a CMS index with given fixing offset and given period lengths.
ConstantMaturitySwaprate(double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
Create a CMS index with given period lengths.
ConstantMaturitySwaprate(String, String, double, double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
Create a CMS index with given fixing offset and given maturity and given period length.
ConstantMaturitySwaprate(double, double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
Create a CMS index with given fixing offset and given maturity and given period length.
ConstantMaturitySwaprate(double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
Create a CMS index with given maturity and given period length.
convertFromTo(AnalyticModelInterface, double, double, double, VolatilitySurfaceInterface.QuotingConvention, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
Convert the value of a caplet from one quoting convention to another quoting convention.
convertFromTo(double, double, double, VolatilitySurfaceInterface.QuotingConvention, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
Convert the value of a caplet from one quoting convention to another quoting convention.
convertFromTo(AnalyticModelInterface, double, double, double, VolatilitySurfaceInterface.QuotingConvention, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
Convert the value of a caplet from one quoting convention to another quoting convention.
convertFromTo(double, double, double, VolatilitySurfaceInterface.QuotingConvention, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
Convert the value of a caplet from one quoting convention to another quoting convention.
CorrelatedBrownianMotion - Class in net.finmath.montecarlo
Provides a correlated Brownian motion from given (independent) increments and a given matrix of factor loadings.
CorrelatedBrownianMotion(BrownianMotionInterface, double[][]) - Constructor for class net.finmath.montecarlo.CorrelatedBrownianMotion
Create a correlated Brownian motion from given independent increments and a given matrix of factor loadings.
cos() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
cos() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
cos() - Method in class net.finmath.montecarlo.RandomVariable
 
cos() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
cos() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
cos() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → cos(x) to this random variable.
cos() - Method in class net.finmath.stochastic.Scalar
 
createDateFromDateAndOffsetCode(LocalDate, String) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendar
 
createDateFromDateAndOffsetCode(LocalDate, String) - Method in interface net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface
Create a new date by "adding" a year fraction to a given base date.
createDiscountCurveFromAnnualizedZeroRates(String, LocalDate, double[], RandomVariableInterface[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given annualized zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromAnnualizedZeroRates(String, LocalDate, double[], RandomVariableInterface[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given annualized zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromAnnualizedZeroRates(String, LocalDate, double[], double[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given annualized zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromAnnualizedZeroRates(String, LocalDate, double[], double[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given annualized zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, LocalDate, double[], RandomVariableInterface[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using given interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, double[], RandomVariableInterface[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using given interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, double[], RandomVariableInterface[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using given interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, double[], double[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
 
createDiscountCurveFromDiscountFactors(String, double[], RandomVariableInterface[]) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using default interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, double[], double[]) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
 
createDiscountCurveFromDiscountFactors(String, LocalDate, double[], double[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using given interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, double[], double[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using given interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, double[], double[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using given interpolation and extrapolation methods.
createDiscountCurveFromDiscountFactors(String, double[], double[]) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given discount factors using default interpolation and extrapolation methods.
createDiscountCurveFromMonteCarloLiborModel(String, LIBORModelMonteCarloSimulationInterface, double) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from forwards given by a LIBORMonteCarloModel.
createDiscountCurveFromZeroRates(String, LocalDate, double[], RandomVariableInterface[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromZeroRates(String, Date, double[], RandomVariableInterface[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromZeroRates(String, LocalDate, double[], RandomVariableInterface[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromZeroRates(String, double[], RandomVariableInterface[]) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using default interpolation and extrapolation methods.
createDiscountCurveFromZeroRates(String, LocalDate, double[], double[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromZeroRates(String, Date, double[], double[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromZeroRates(String, double[], double[], boolean[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Deprecated.
Initializing a curve without reference date is deprecated.
createDiscountCurveFromZeroRates(String, LocalDate, double[], double[], Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using given interpolation and extrapolation methods.
createDiscountCurveFromZeroRates(String, double[], double[]) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given times and given zero rates using default interpolation and extrapolation methods.
createDiscountFactorsFromForwardRates(String, TimeDiscretizationInterface, RandomVariableInterface[]) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
Create a discount curve from given time discretization and forward rates.
createDiscountFactorsFromForwardRates(String, TimeDiscretizationInterface, double[]) - Static method in class net.finmath.marketdata.model.curves.DiscountCurve
Create a discount curve from given time discretization and forward rates.
createForwardCurveFromDiscountFactors(String, double[], RandomVariableInterface[], double) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and discount factors.
createForwardCurveFromDiscountFactors(String, double[], double[], double) - Static method in class net.finmath.marketdata.model.curves.ForwardCurve
Create a forward curve from given times and discount factors.
createForwardCurveFromForwards(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, ForwardCurve.InterpolationEntityForward, String, AnalyticModelInterface, double[], RandomVariableInterface[]) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, Date, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, ForwardCurve.InterpolationEntityForward, String, AnalyticModelInterface, double[], RandomVariableInterface[]) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, LocalDate, String, String, String, AnalyticModelInterface, double[], RandomVariableInterface[]) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, LocalDate, String, ForwardCurve.InterpolationEntityForward, String, AnalyticModelInterface, double[], RandomVariableInterface[]) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, double[], RandomVariableInterface[], double) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, double[], RandomVariableInterface[], AnalyticModelInterface, String, double) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and given forwards with respect to an associated discount curve and payment offset.
createForwardCurveFromForwards(String, double[], double[], AnalyticModelInterface, String, double) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from given times and given forwards with respect to an associated discount curve and payment offset.
createForwardCurveFromForwards(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, ForwardCurve.InterpolationEntityForward, String, AnalyticModelInterface, double[], double[]) - Static method in class net.finmath.marketdata.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, Date, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, ForwardCurve.InterpolationEntityForward, String, AnalyticModelInterface, double[], double[]) - Static method in class net.finmath.marketdata.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, LocalDate, String, String, String, AnalyticModelInterface, double[], double[]) - Static method in class net.finmath.marketdata.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, LocalDate, String, ForwardCurve.InterpolationEntityForward, String, AnalyticModelInterface, double[], double[]) - Static method in class net.finmath.marketdata.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, double[], double[], double) - Static method in class net.finmath.marketdata.model.curves.ForwardCurve
Create a forward curve from given times and given forwards.
createForwardCurveFromForwards(String, double[], double[], AnalyticModelInterface, String, double) - Static method in class net.finmath.marketdata.model.curves.ForwardCurve
Create a forward curve from given times and given forwards with respect to an associated discount curve and payment offset.
createForwardCurveFromMonteCarloLiborModel(String, LIBORModelMonteCarloSimulationInterface, double) - Static method in class net.finmath.analytic.model.curves.ForwardCurve
Create a forward curve from forwards given by a LIBORMonteCarloModel.
createIndexCurveWithSeasonality(String, LocalDate, Map<LocalDate, Double>, Map<String, Double>, Integer, Map<LocalDate, Double>, String, String) - Static method in class net.finmath.marketdata.model.curves.CurveFactory
Creates a monthly index curve with seasonality and past fixings.
createRandomVariable(double) - Method in class net.finmath.montecarlo.AbstractRandomVariableFactory
 
createRandomVariable(double, double) - Method in class net.finmath.montecarlo.AbstractRandomVariableFactory
 
createRandomVariable(double, double[]) - Method in class net.finmath.montecarlo.AbstractRandomVariableFactory
 
createRandomVariable(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.AbstractRandomVariableDifferentiableFactory
 
createRandomVariable(double, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.AbstractRandomVariableDifferentiableFactory
 
createRandomVariable(double, double[]) - Method in class net.finmath.montecarlo.automaticdifferentiation.AbstractRandomVariableDifferentiableFactory
 
createRandomVariable(double, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory
 
createRandomVariable(double, double[]) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory
 
createRandomVariable(double, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableADFactory
 
createRandomVariable(double, double[]) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableADFactory
 
createRandomVariable(double, double) - Method in class net.finmath.montecarlo.RandomVariableFactory
 
createRandomVariable(double, double[]) - Method in class net.finmath.montecarlo.RandomVariableFactory
 
createRandomVariable(double, double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluationFactory
 
createRandomVariable(double, double[]) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluationFactory
 
createRandomVariableNonDifferentiable(double, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.AbstractRandomVariableDifferentiableFactory
 
createRandomVariableNonDifferentiable(double, double[]) - Method in class net.finmath.montecarlo.automaticdifferentiation.AbstractRandomVariableDifferentiableFactory
 
createScheduleFromConventions(LocalDate, LocalDate, LocalDate, ScheduleGenerator.Frequency, ScheduleGenerator.DaycountConvention, ScheduleGenerator.ShortPeriodConvention, BusinessdayCalendarInterface.DateRollConvention, BusinessdayCalendarInterface, int, int, boolean) - Static method in class net.finmath.time.ScheduleGenerator
Schedule generation for given {referenceDate,startDate,maturityDate}.
createScheduleFromConventions(LocalDate, LocalDate, LocalDate, ScheduleGenerator.Frequency, ScheduleGenerator.DaycountConvention, ScheduleGenerator.ShortPeriodConvention, BusinessdayCalendarInterface.DateRollConvention, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Schedule generation for given {referenceDate,startDate,maturityDate}.
createScheduleFromConventions(LocalDate, LocalDate, LocalDate, String, String, String, String, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Schedule generation for given {referenceDate,startDate,maturityDate}.
createScheduleFromConventions(Date, Date, Date, String, String, String, String, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Schedule generation for given {referenceDate,startDate,maturityDate}.
createScheduleFromConventions(LocalDate, LocalDate, int, String, String, String, String, String, String, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Simple schedule generation where startDate and maturityDate are calculated based on tradeDate, spotOffsetDays, startOffsetString and maturityString.
createScheduleFromConventions(LocalDate, int, String, String, String, String, String, String, BusinessdayCalendarInterface, int, int, boolean) - Static method in class net.finmath.time.ScheduleGenerator
Simple schedule generation where startDate and maturityDate are calculated based on referenceDate, spotOffsetDays, startOffsetString and maturityString.
createScheduleFromConventions(LocalDate, int, String, String, String, String, String, String, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Simple schedule generation where startDate and maturityDate are calculated based on referenceDate, spotOffsetDays, startOffsetString and maturityString.
createScheduleFromConventions(LocalDate, String, String, String, String, String, String, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Simple schedule generation where startDate and maturityDate are calculated based on referenceDate, startOffsetString and maturityString.
createScheduleFromConventions(LocalDate, String, String, String, String, String, String, String, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Schedule generation with futureCodes (in the format DEC17).
createScheduleFromConventions(LocalDate, LocalDate, String, double, String, String, String, BusinessdayCalendarInterface, int, int) - Static method in class net.finmath.time.ScheduleGenerator
Deprecated.
Will be removed in version 2.3
createScheduleFromConventions(LocalDate, LocalDate, String, double, String, String) - Static method in class net.finmath.time.ScheduleGenerator
Deprecated.
Will be removed in version 2.3
createSwaption(String, double, TimeDiscretizationInterface, String) - Static method in class net.finmath.montecarlo.interestrate.products.SwaptionFactory
 
createZeroRates(double, double[], LIBORModelMonteCarloSimulationInterface) - Static method in class net.finmath.analytic.model.curves.DiscountCurve
 
CrossCurrencyTermStructureModelMonteCarloSimulationInterface - Interface in net.finmath.montecarlo.crosscurrency
Interface for cross currency term structure models.
cumulativeDistribution(double) - Static method in class net.finmath.functions.NormalDistribution
Cumulative distribution function of the standard normal distribution.
Curve - Class in net.finmath.analytic.model.curves
This class represents a curve build from a set of points in 2D.
Curve(String, LocalDate, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, double[], RandomVariableInterface[]) - Constructor for class net.finmath.analytic.model.curves.Curve
Create a curve with a given name, reference date and an interpolation method from given points
Curve(String, LocalDate, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Constructor for class net.finmath.analytic.model.curves.Curve
Create a curve with a given name, reference date and an interpolation method.
Curve - Class in net.finmath.marketdata.model.curves
This class represents a curve build from a set of points in 2D.
Curve(String, LocalDate, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, double[], double[]) - Constructor for class net.finmath.marketdata.model.curves.Curve
Create a curve with a given name, reference date and an interpolation method from given points
Curve(String, LocalDate, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity) - Constructor for class net.finmath.marketdata.model.curves.Curve
Create a curve with a given name, reference date and an interpolation method.
Curve.CurveBuilder - Class in net.finmath.analytic.model.curves
A builder (following the builder pattern) for Curve objects.
Curve.CurveBuilder - Class in net.finmath.marketdata.model.curves
A builder (following the builder pattern) for Curve objects.
Curve.ExtrapolationMethod - Enum in net.finmath.analytic.model.curves
Possible extrapolation methods.
Curve.ExtrapolationMethod - Enum in net.finmath.marketdata.model.curves
Possible extrapolation methods.
Curve.InterpolationEntity - Enum in net.finmath.analytic.model.curves
Possible interpolation entities.
Curve.InterpolationEntity - Enum in net.finmath.marketdata.model.curves
Possible interpolation entities.
Curve.InterpolationMethod - Enum in net.finmath.analytic.model.curves
Possible interpolation methods.
Curve.InterpolationMethod - Enum in net.finmath.marketdata.model.curves
Possible interpolation methods.
CurveBuilder() - Constructor for class net.finmath.analytic.model.curves.Curve.CurveBuilder
Build a curve.
CurveBuilder(String, LocalDate) - Constructor for class net.finmath.analytic.model.curves.Curve.CurveBuilder
Build a curve with a given name and given reference date.
CurveBuilder(Curve) - Constructor for class net.finmath.analytic.model.curves.Curve.CurveBuilder
Build a curve by cloning a given curve.
CurveBuilder() - Constructor for class net.finmath.marketdata.model.curves.Curve.CurveBuilder
Build a curve.
CurveBuilder(String, LocalDate) - Constructor for class net.finmath.marketdata.model.curves.Curve.CurveBuilder
Build a curve with a given name and given reference date.
CurveBuilder(Curve) - Constructor for class net.finmath.marketdata.model.curves.Curve.CurveBuilder
Build a curve by cloning a given curve.
CurveBuilder(PiecewiseCurve) - Constructor for class net.finmath.marketdata.model.curves.PiecewiseCurve.CurveBuilder
Create a CurveBuilder from a given piecewiseCurve
CurveBuilder(SeasonalCurve) - Constructor for class net.finmath.marketdata.model.curves.SeasonalCurve.CurveBuilder
Create a CurveBuilder from a given seasonalCurve.
CurveBuilderInterface - Interface in net.finmath.analytic.model.curves
Interface of builders which allow to build curve objects by successively adding points.
CurveBuilderInterface - Interface in net.finmath.marketdata.model.curves
Interface of builders which allow to build curve objects by successively adding points.
CurveEstimation - Class in net.finmath.marketdata.model.curves.locallinearregression
This class implements the method of local linear regression with discrete kernel function, see see https://ssrn.com/abstract=3073942 In particular it represents the implementation of proposition 2 and 3 of the paper.
CurveEstimation(LocalDate, double, double[], double[], double[], double, CurveEstimation.Distribution) - Constructor for class net.finmath.marketdata.model.curves.locallinearregression.CurveEstimation
Creates a curve estimation object.
CurveEstimation(LocalDate, double, double[], double[], double[], double) - Constructor for class net.finmath.marketdata.model.curves.locallinearregression.CurveEstimation
Creates a curve estimation object with a normal kernel.
CurveEstimation.Distribution - Enum in net.finmath.marketdata.model.curves.locallinearregression
Possible kernel types.
CurveFactory - Class in net.finmath.marketdata.model.curves
A collection of convenient methods constructing some more specialized curves.
CurveFromProductOfCurves - Class in net.finmath.marketdata.model.curves
A curve derived from other curves by multiplying the values.
CurveFromProductOfCurves(String, LocalDate, CurveInterface...) - Constructor for class net.finmath.marketdata.model.curves.CurveFromProductOfCurves
Create a curve using one or more curves.
CurveInterface - Interface in net.finmath.analytic.model.curves
The interface which is implemented by a general curve.
CurveInterface - Interface in net.finmath.marketdata.model.curves
The interface which is implemented by a general curve.

D

d(double) - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
If a given x is into an interval of the partition, this method returns the reference point of the corresponding interval.
DateIndex - Class in net.finmath.montecarlo.interestrate.products.indices
An index whose value is a function of the fixing date, for example the DAY, MONTH or NUMBER_OF_DAYS_IN_MONTH.
DateIndex(String, String, DateIndex.DateIndexType) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.DateIndex
Construct a date index.
DateIndex(String, DateIndex.DateIndexType) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.DateIndex
Construct a date index.
DateIndex.DateIndexType - Enum in net.finmath.montecarlo.interestrate.products.indices
 
daycountConvention - Variable in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
daycountConvention - Variable in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
DayCountConvention_30E_360 - Class in net.finmath.time.daycount
Implementation of 30E/360 and 30E+/360.
DayCountConvention_30E_360(boolean) - Constructor for class net.finmath.time.daycount.DayCountConvention_30E_360
Create a 30E/360 or 30E+/360 day count convention.
DayCountConvention_30E_360() - Constructor for class net.finmath.time.daycount.DayCountConvention_30E_360
Create a 30E/360 daycount convention.
DayCountConvention_30E_360_ISDA - Class in net.finmath.time.daycount
Implementation of 30E/360 ISDA.
DayCountConvention_30E_360_ISDA(boolean) - Constructor for class net.finmath.time.daycount.DayCountConvention_30E_360_ISDA
Create a 30E/360 ISDA daycount convention.
DayCountConvention_30E_360_ISDA() - Constructor for class net.finmath.time.daycount.DayCountConvention_30E_360_ISDA
Create a 30E/360 ISDA daycount convention using isTreatEndDateAsTerminationDate = false.
DayCountConvention_30U_360 - Class in net.finmath.time.daycount
Calculates the day count using the US 30/360 adjusted method.
DayCountConvention_30U_360() - Constructor for class net.finmath.time.daycount.DayCountConvention_30U_360
Create a 30U/360 day count convention.
DayCountConvention_30U_360(boolean) - Constructor for class net.finmath.time.daycount.DayCountConvention_30U_360
Create a 30U/360 day count convention.
DayCountConvention_ACT - Class in net.finmath.time.daycount
Base class which calculates the day count by calculating the actual number of days between startDate and endDate.
DayCountConvention_ACT() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT
Create an ACT day count convention.
DayCountConvention_ACT_360 - Class in net.finmath.time.daycount
Implementation of ACT/360.
DayCountConvention_ACT_360() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_360
Create an ACT/360 day count convention.
DayCountConvention_ACT_365 - Class in net.finmath.time.daycount
Implementation of ACT/365.
DayCountConvention_ACT_365() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_365
Create an ACT/365 day count convention.
DayCountConvention_ACT_365A - Class in net.finmath.time.daycount
Implementation of ACT/365A.
DayCountConvention_ACT_365A() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_365A
Create an ACT/365 day count convention.
DayCountConvention_ACT_365L - Class in net.finmath.time.daycount
Implementation of ACT/365L.
DayCountConvention_ACT_365L() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_365L
Create an ACT/365 day count convention.
DayCountConvention_ACT_ACT_AFB - Class in net.finmath.time.daycount
Implementation of ACT/ACT AFB.
DayCountConvention_ACT_ACT_AFB() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_ACT_AFB
Create an ACT/ACT FBA daycount convention.
DayCountConvention_ACT_ACT_ICMA - Class in net.finmath.time.daycount
Implementation of ACT/ACT ICMA.
DayCountConvention_ACT_ACT_ICMA(ArrayList<Period>, int) - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_ACT_ICMA
Create an ACT/ACT ICMA day count convention.
DayCountConvention_ACT_ACT_ISDA - Class in net.finmath.time.daycount
Implementation of ACT/ACT ISDA.
DayCountConvention_ACT_ACT_ISDA(boolean) - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_ACT_ISDA
Create an ACT/ACT ISDA day count convention.
DayCountConvention_ACT_ACT_ISDA() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_ACT_ISDA
Create an ACT/ACT ISDA day count convention.
DayCountConvention_ACT_ACT_YEARFRAC - Class in net.finmath.time.daycount
Implementation of ACT/ACT as in Excel (2013).
DayCountConvention_ACT_ACT_YEARFRAC() - Constructor for class net.finmath.time.daycount.DayCountConvention_ACT_ACT_YEARFRAC
Create an ACT/ACT YEARFRAC daycount convention.
DayCountConvention_NL_365 - Class in net.finmath.time.daycount
Implementation of NL/365.
DayCountConvention_NL_365() - Constructor for class net.finmath.time.daycount.DayCountConvention_NL_365
Create an NL/365 day count convention.
DayCountConvention_NONE - Class in net.finmath.time.daycount
This is a special day count convention, where the day count between two dates is always 0.0 and the year fraction for an interval is always 1.0.
DayCountConvention_NONE() - Constructor for class net.finmath.time.daycount.DayCountConvention_NONE
Create a day count convention with a constant year fraction of 1.0 for all periods.
DayCountConvention_UNKNOWN - Class in net.finmath.time.daycount
Implements a placeholder object for an unknown day count convention, throwing an exception, whenever a day count or day count fraction is requested.
DayCountConvention_UNKNOWN() - Constructor for class net.finmath.time.daycount.DayCountConvention_UNKNOWN
Create the unknown day count convention.
DayCountConvention_UNKNOWN(String) - Constructor for class net.finmath.time.daycount.DayCountConvention_UNKNOWN
Create the unknown day count convention.
DayCountConventionFactory - Class in net.finmath.time.daycount
Factory methods for day count conventions.
DayCountConventionInterface - Interface in net.finmath.time.daycount
Interface for various day count conventions.
daysBetween(LocalDate, LocalDate) - Static method in class net.finmath.time.daycount.DayCountConvention_ACT
Returns the number of days, between two dates.
DeltaHedgedPortfolioWithAAD - Class in net.finmath.montecarlo.assetderivativevaluation.products
This class implements a delta hedged portfolio (a hedge simulator).
DeltaHedgedPortfolioWithAAD(AbstractAssetMonteCarloProduct) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.DeltaHedgedPortfolioWithAAD
Construction of a delta hedge portfolio.
density(double) - Static method in class net.finmath.functions.NormalDistribution
Returns the value of the density at x.
Deposit - Class in net.finmath.analytic.products
Implements the valuation of the (overnight) deposit (maturity t+1 or t+2).
Deposit(ScheduleInterface, double, String) - Constructor for class net.finmath.analytic.products.Deposit
 
Deposit - Class in net.finmath.marketdata.products
Implements the valuation of the (overnight) deposit (maturity t+1 or t+2).
Deposit(ScheduleInterface, double, String) - Constructor for class net.finmath.marketdata.products.Deposit
 
DescribedModel<M extends ModelDescriptor> - Interface in net.finmath.modelling
Interface for models which can provide a complete description of their model parameters (independent of the implementation of the numerical method).
DescribedProduct<T extends ProductDescriptor> - Interface in net.finmath.modelling
Interface for products which can provide a complete description of themself, i.e. the model parameters (independent of the implementation of the numerical method).
DigitalCaplet - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a digital caplet using a given LIBORModelMonteCarloSimulationInterface.
DigitalCaplet(double, double, double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.DigitalCaplet
Create a digital caplet with given maturity and strike.
DigitalFloorlet - Class in net.finmath.montecarlo.interestrate.products
Implements the pricing of a digtal floorlet using a given LIBORModelMonteCarloSimulationInterface.
DigitalFloorlet(double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.DigitalFloorlet
 
DigitalOption - Class in net.finmath.fouriermethod.products
Implements valuation of a European option on a single asset.
DigitalOption(double, double) - Constructor for class net.finmath.fouriermethod.products.DigitalOption
Construct a product representing an European option on an asset S (where S the asset with index 0 from the model - single asset case).
DigitalOption(SingleAssetDigitalOptionProductDescriptor) - Constructor for class net.finmath.fouriermethod.products.DigitalOption
 
DigitalOption - Class in net.finmath.montecarlo.assetderivativevaluation.products
Implements the valuation of a digital option on a single asset.
DigitalOption(double, double, int) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.DigitalOption
Construct a product representing an digital option on an asset S (where S the asset with index 0 from the model - single asset case).
DigitalOption(double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.DigitalOption
Construct a product representing an digital option on an asset S (where S the asset with index 0 from the model - single asset case).
DigitalOption(String, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.DigitalOption
 
DigitalOption(SingleAssetDigitalOptionProductDescriptor) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.DigitalOption
 
discount(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
discount(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
discount(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariable
 
discount(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
discount(RandomVariableInterface, double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
discount(RandomVariableInterface, double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x / (1.0 + rate * periodLength) to this random variable.
discount(RandomVariableInterface, double) - Method in class net.finmath.stochastic.Scalar
 
DiscountCurve - Class in net.finmath.analytic.model.curves
Implementation of a discount factor curve based on Curve.
discountCurve - Variable in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
DiscountCurve - Class in net.finmath.marketdata.model.curves
Implementation of a discount factor curve based on Curve.
discountCurve - Variable in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
DiscountCurveFromForwardCurve - Class in net.finmath.analytic.model.curves
A discount curve derived from a given forward curve.
DiscountCurveFromForwardCurve(String, double) - Constructor for class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromForwardCurve(ForwardCurveInterface, double) - Constructor for class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromForwardCurve(String) - Constructor for class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromForwardCurve(ForwardCurveInterface) - Constructor for class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromForwardCurve - Class in net.finmath.marketdata.model.curves
A discount curve derived from a given forward curve.
DiscountCurveFromForwardCurve(String, double) - Constructor for class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromForwardCurve(ForwardCurveInterface, double) - Constructor for class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromForwardCurve(String) - Constructor for class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromForwardCurve(ForwardCurveInterface) - Constructor for class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
Create a discount curve using a given forward curve.
DiscountCurveFromProductOfCurves - Class in net.finmath.marketdata.model.curves
A discount curve derived from other discount curves by multiplying the discount factors.
DiscountCurveFromProductOfCurves(String, LocalDate, DiscountCurveInterface...) - Constructor for class net.finmath.marketdata.model.curves.DiscountCurveFromProductOfCurves
Create a discount curve using one or more curves.
DiscountCurveInterface - Interface in net.finmath.analytic.model.curves
The interface which is implemented by discount curves.
DiscountCurveInterface - Interface in net.finmath.marketdata.model.curves
The interface which is implemented by discount curves.
discountCurveName - Variable in class net.finmath.analytic.model.curves.AbstractForwardCurve
 
discountCurveName - Variable in class net.finmath.marketdata.model.curves.AbstractForwardCurve
 
DiscountCurveNelsonSiegelSvensson - Class in net.finmath.marketdata.model.curves
Implementation of a discount factor curve given by a Nelson-Siegel-Svensson (NSS) parameterization.
DiscountCurveNelsonSiegelSvensson(String, LocalDate, double[], double) - Constructor for class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
Create a discount curve using a Nelson-Siegel-Svensson parametrization.
DiscountCurveRenormalized - Class in net.finmath.marketdata.model.curves
A discount curve \( t \mapsto df(t) \) with property \( df(t_{0}) = 1 \) for a given \( t_{0} \) derived from a base discount curve by a constant skaling.
DiscountCurveRenormalized(String, LocalDate, LocalDate, String) - Constructor for class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
DisplacedLocalVolatilityModel - Class in net.finmath.montecarlo.interestrate.covariancemodels
Displaced model build on top of a standard covariance model.
DisplacedLocalVolatilityModel(AbstractLIBORCovarianceModelParametric, RandomVariableInterface, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.DisplacedLocalVolatilityModel
Displaced model build on top of a standard covariance model.
DisplacedLocalVolatilityModel - Class in net.finmath.montecarlo.interestrate.modelplugins
Displaced model build on top of a standard covariance model.
DisplacedLocalVolatilityModel(AbstractLIBORCovarianceModelParametric, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.DisplacedLocalVolatilityModel
Displaced model build on top of a standard covariance model.
DisplacedLognomalModelExperimental - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements a displaced lognormal model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
DisplacedLognomalModelExperimental(double, double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
Create a Monte-Carlo simulation using given time discretization.
DisplacedLognormal - Class in net.finmath.timeseries.models.parametric
Displaced log-normal process with constanst volatility.
DisplacedLognormal(double[]) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
DisplacedLognormal(double[], double) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
DisplacedLognormal(double[], int, int) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
DisplacedLognormal(double[], double, int, int) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
DisplacedLognormalARMAGARCH - Class in net.finmath.timeseries.models.parametric
Displaced log-normal process with ARMAGARCH(1,1) volatility.
DisplacedLognormalARMAGARCH(TimeSeriesInterface) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
DisplacedLognormalARMAGARCH(TimeSeriesInterface, double) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
DisplacedLognormalARMAGARCH(TimeSeriesInterface, double, double) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
DisplacedLognormalGARCH - Class in net.finmath.timeseries.models.parametric
Displaced log-normal process with GARCH(1,1) volatility.
DisplacedLognormalGARCH(double[]) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
DisplacedLognormalGARCH(double[], double) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
DisplacedLognormalGARCH(double[], int, int) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
DisplacedLognormalGARCH(double[], double, int, int) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
DisplacedLognormalGJRGARCH - Class in net.finmath.timeseries.models.parametric
Displaced log-normal process with GJR-GARCH(1,1) volatility.
DisplacedLognormalGJRGARCH(TimeSeriesInterface) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
DisplacedLognormalGJRGARCH(TimeSeriesInterface, double) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
DisplacedLognormalGJRGARCH(TimeSeriesInterface, double, double) - Constructor for class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
div(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
div(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
div(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
div(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
div(double) - Method in class net.finmath.montecarlo.RandomVariable
 
div(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
div(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
div(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
div(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
div(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
div(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x / value to this random variable.
div(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x/randomVariable to this random variable.
div(double) - Method in class net.finmath.stochastic.Scalar
 
div(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
DoubleTernaryOperator - Interface in net.finmath.functions
Functional interface for functions mapping (double,double,double) to double.
doubleValue() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
doubleValue() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
doubleValue() - Method in class net.finmath.montecarlo.RandomVariable
 
doubleValue() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
doubleValue() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
doubleValue() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the double value if isDeterministic() is true. otherwise throws an UnsupportedOperationException.
doubleValue() - Method in class net.finmath.stochastic.Scalar
 

E

equals(Object) - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
equals(Object) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
equals(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
equals(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
equals(Object) - Method in class net.finmath.montecarlo.BrownianMotion
 
equals(Object) - Method in class net.finmath.montecarlo.GammaProcess
 
equals(Object) - Method in class net.finmath.montecarlo.IndependentIncrements
 
equals(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
equals(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
equals(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
equals(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Compare this random variable with a given one
equals(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
equals(Object) - Method in class net.finmath.time.Period
 
equals(Object) - Method in class net.finmath.time.TimeDiscretization
 
EuropeanOption - Class in net.finmath.fouriermethod.products
Implements valuation of a European option on a single asset.
EuropeanOption(SingleAssetEuropeanOptionProductDescriptor) - Constructor for class net.finmath.fouriermethod.products.EuropeanOption
Create the product from a descriptor.
EuropeanOption(String, double, double) - Constructor for class net.finmath.fouriermethod.products.EuropeanOption
 
EuropeanOption(double, double) - Constructor for class net.finmath.fouriermethod.products.EuropeanOption
Construct a product representing an European option on an asset S (where S the asset with index 0 from the model - single asset case).
EuropeanOption - Class in net.finmath.montecarlo.assetderivativevaluation.products
Implements the valuation of a European option on a single asset.
EuropeanOption(SingleAssetEuropeanOptionProductDescriptor) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.EuropeanOption
Construct a product representing an European option on an asset S (where S the asset with index 0 from the model - single asset case).
EuropeanOption(String, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.EuropeanOption
Construct a product representing an European option on an asset S (where S the asset with index 0 from the model - single asset case).
EuropeanOption(double, double, int) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.EuropeanOption
Construct a product representing an European option on an asset S (where S the asset with index 0 from the model - single asset case).
EuropeanOption(double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.EuropeanOption
Construct a product representing an European option on an asset S (where S the asset with index 0 from the model - single asset case).
executor - Static variable in class net.finmath.montecarlo.interestrate.products.components.AbstractProductComponent
 
exp(double[][]) - Method in class net.finmath.functions.LinearAlgebra
Calculate the "matrix exponential" (expm).
exp(RealMatrix) - Method in class net.finmath.functions.LinearAlgebra
Calculate the "matrix exponential" (expm).
exp() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
exp() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
exp() - Method in class net.finmath.montecarlo.RandomVariable
 
exp() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
exp() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
exp() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → exp(x) to this random variable.
exp() - Method in class net.finmath.stochastic.Scalar
 
expand(int) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
ExposureEstimator - Class in net.finmath.montecarlo.interestrate.products.components
Implements (a numerical approximation of) the function \( (t,V) \mapsto E( V(t) \vert \mathcal{F}_t ) \) where \( V(t) \) is the (sum of) discounted future value(s) of an underlying \( V \), discounted to \( t \) and \( t \) is a given evaluation time.
ExposureEstimator(AbstractLIBORMonteCarloProduct) - Constructor for class net.finmath.montecarlo.interestrate.products.components.ExposureEstimator
Creates (a numerical approximation of) the function \( (t,V) \mapsto E( V(t) \vert \mathcal{F}_t ) \) where \( V(t) \) is the (sum of) discounted future value(s) of an underlying \( V \), discounted to \( t \) and \( t \) is a given evaluation time.

F

FactorDriftInterface - Interface in net.finmath.montecarlo.process.component.factordrift
 
factorReduction(double[][], int) - Static method in class net.finmath.functions.LinearAlgebra
Returns a correlation matrix which has rank < n and for which the first n factors agree with the factors of correlationMatrix.
factorReductionUsingCommonsMath(double[][], int) - Static method in class net.finmath.functions.LinearAlgebra
Returns a correlation matrix which has rank < n and for which the first n factors agree with the factors of correlationMatrix.
FDMBlackScholesModel - Class in net.finmath.finitedifference.models
Black Scholes model using finite difference method.
FDMBlackScholesModel(int, int, int, double, double, double, double, double) - Constructor for class net.finmath.finitedifference.models.FDMBlackScholesModel
 
FDMEuropeanCallOption - Class in net.finmath.finitedifference.products
Implementation of a European option to be valued by a the finite difference method.
FDMEuropeanCallOption(double, double) - Constructor for class net.finmath.finitedifference.products.FDMEuropeanCallOption
 
FDMThetaMethod - Class in net.finmath.finitedifference.solvers
One dimensional finite difference solver.
FDMThetaMethod(FDMBlackScholesModel, FiniteDifference1DBoundary, double, double, double) - Constructor for class net.finmath.finitedifference.solvers.FDMThetaMethod
 
FiniteDifference1DBoundary - Interface in net.finmath.finitedifference.models
Interface for boundaries conditions provided to one dimensional finite difference solvers.
FiniteDifference1DModel - Interface in net.finmath.finitedifference.models
Interface one dimensional finite difference models.
FiniteDifference1DProduct - Interface in net.finmath.finitedifference.products
Interface one dimensional finite difference products.
FiniteDifferenceDeltaHedgedPortfolio - Class in net.finmath.montecarlo.assetderivativevaluation.products
This class implements a delta hedged portfolio of a given product (a hedge simulator).
FiniteDifferenceDeltaHedgedPortfolio(AbstractAssetMonteCarloProduct, AssetModelMonteCarloSimulationInterface) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.FiniteDifferenceDeltaHedgedPortfolio
Construction of a delta hedge portfolio using finite differences on every path and in every time-step.
FixedCoupon - Class in net.finmath.montecarlo.interestrate.products.indices
A fixed coupon index paying constant coupon..
FixedCoupon(double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.FixedCoupon
Creates a fixed coupon index paying constant coupon.
FlexiCap - Class in net.finmath.montecarlo.interestrate.products
This class implements the valuation of a Flexi Cap (aka Auto Cap).
FlexiCap(double[], double[], double[], int) - Constructor for class net.finmath.montecarlo.interestrate.products.FlexiCap
Create a Flexi Cap (aka Auto Cap).
FloatingpointDate - Class in net.finmath.time
This class provides the library wide conversion from a floating point number to a LocalDate.
floor(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
floor(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
floor(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
floor(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
floor(double) - Method in class net.finmath.montecarlo.RandomVariable
 
floor(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
floor(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
floor(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
floor(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
floor(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
floor(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → max(x,floor) to this random variable.
floor(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → max(x,floor) to this random variable.
floor(double) - Method in class net.finmath.stochastic.Scalar
 
floor(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
Forward - Class in net.finmath.analytic.products
Implements the valuation of a forward using curves (discount curve, forward curve).
Forward(double, double, String, double, String) - Constructor for class net.finmath.analytic.products.Forward
Creates a forward.
Forward - Class in net.finmath.marketdata.products
Implements the valuation of a forward using curves (discount curve, forward curve).
Forward(double, double, String, double, String) - Constructor for class net.finmath.marketdata.products.Forward
Creates a forward.
ForwardCurve - Class in net.finmath.analytic.model.curves
A container for a forward (rate) curve.
ForwardCurve(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, ForwardCurve.InterpolationEntityForward, String) - Constructor for class net.finmath.analytic.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
ForwardCurve(String, LocalDate, String, ForwardCurve.InterpolationEntityForward, String) - Constructor for class net.finmath.analytic.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
ForwardCurve(String, LocalDate, String, String) - Constructor for class net.finmath.analytic.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
ForwardCurve(String, double, ForwardCurve.InterpolationEntityForward, String) - Constructor for class net.finmath.analytic.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
forwardCurve - Variable in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
ForwardCurve - Class in net.finmath.marketdata.model.curves
A container for a forward (rate) curve.
ForwardCurve(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, Curve.InterpolationMethod, Curve.ExtrapolationMethod, Curve.InterpolationEntity, ForwardCurve.InterpolationEntityForward, String) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
ForwardCurve(String, LocalDate, String, ForwardCurve.InterpolationEntityForward, String) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
ForwardCurve(String, LocalDate, String, String) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
ForwardCurve(String, double, ForwardCurve.InterpolationEntityForward, String) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurve
Generate a forward curve using a given discount curve and payment offset.
forwardCurve - Variable in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
ForwardCurve.InterpolationEntityForward - Enum in net.finmath.analytic.model.curves
Additional choice of interpolation entities for forward curves.
ForwardCurve.InterpolationEntityForward - Enum in net.finmath.marketdata.model.curves
Additional choice of interpolation entities for forward curves.
ForwardCurveFromDiscountCurve - Class in net.finmath.analytic.model.curves
A forward curve derived from a given discount curve.
ForwardCurveFromDiscountCurve(String, String, String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, double, double) - Constructor for class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, double, double) - Constructor for class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention) - Constructor for class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, String, LocalDate, String) - Constructor for class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, LocalDate, String) - Constructor for class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve - Class in net.finmath.marketdata.model.curves
A forward curve derived from a given discount curve.
ForwardCurveFromDiscountCurve(String, String, String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, double, double) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, double, double) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, String, LocalDate, String) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveFromDiscountCurve(String, LocalDate, String) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
Create a forward curve using a given referenceDiscountCurveForForwards.
ForwardCurveIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A fixed coupon index paying coupon calculated from a forward curve.
ForwardCurveIndex(ForwardCurveInterface) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ForwardCurveIndex
Creates a forward curve index.
ForwardCurveInterface - Interface in net.finmath.analytic.model.curves
The interface which is implemented by forward curves.
ForwardCurveInterface - Interface in net.finmath.marketdata.model.curves
The interface which is implemented by forward curves.
ForwardCurveNelsonSiegelSvensson - Class in net.finmath.marketdata.model.curves
Implementation of a forward given by a Nelson-Siegel-Svensson (NSS) parameterization.
ForwardCurveNelsonSiegelSvensson(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, DayCountConventionInterface, double[], double, double) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
ForwardCurveNelsonSiegelSvensson(String, LocalDate, String, BusinessdayCalendarInterface, BusinessdayCalendarInterface.DateRollConvention, DayCountConventionInterface, double[], double) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
ForwardCurveWithFixings - Class in net.finmath.marketdata.model.curves
 
ForwardCurveWithFixings(ForwardCurveInterface, ForwardCurveInterface, double, double) - Constructor for class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
Create a piecewise forward curve.
ForwardRateAgreement - Class in net.finmath.analytic.products
Implements the valuation of a FRA in multi-curve setting.
ForwardRateAgreement(ScheduleInterface, double, String, String, boolean) - Constructor for class net.finmath.analytic.products.ForwardRateAgreement
Creates a FRA.
ForwardRateAgreement(ScheduleInterface, double, String, String) - Constructor for class net.finmath.analytic.products.ForwardRateAgreement
Creates a payer FRA.
ForwardRateAgreement - Class in net.finmath.marketdata.products
Implements the valuation of a FRA in multi-curve setting.
ForwardRateAgreement(ScheduleInterface, double, String, String, boolean) - Constructor for class net.finmath.marketdata.products.ForwardRateAgreement
Creates a FRA.
ForwardRateAgreement(ScheduleInterface, double, String, String) - Constructor for class net.finmath.marketdata.products.ForwardRateAgreement
Creates a payer FRA.
ForwardRateVolatilitySurfaceCurvature - Class in net.finmath.montecarlo.interestrate.products
This class implements the calculation of the curvature of the volatility surface of the forward rates.
ForwardRateVolatilitySurfaceCurvature() - Constructor for class net.finmath.montecarlo.interestrate.products.ForwardRateVolatilitySurfaceCurvature
Create the calculation of the curvature of the volatility surface of the forward rates
ForwardRateVolatilitySurfaceCurvature(double) - Constructor for class net.finmath.montecarlo.interestrate.products.ForwardRateVolatilitySurfaceCurvature
Create the calculation of the curvature of the volatility surface of the forward rates.
fromFile(File) - Static method in class net.finmath.marketdata.model.volatilities.CapletVolatilities
 
FutureWrapper<V> - Class in net.finmath.concurrency
Implementation of the Future interface, without any concurrent execution.
FutureWrapper(V) - Constructor for class net.finmath.concurrency.FutureWrapper
Create a wrapper to an object that looks like a Future on that object.

G

GammaDistribution - Class in net.finmath.functions
 
GammaDistribution(double, double) - Constructor for class net.finmath.functions.GammaDistribution
 
GammaProcess - Class in net.finmath.montecarlo
Implementation of a time-discrete n-dimensional Gamma process \( \Gamma = (\Gamma_{1},\ldots,\Gamma_{n}) \), where \( \Gamma_{i} \) is a Gamma process and \( \Gamma_{i} \), \( \Gamma_{j} \) are independent for i not equal j.
GammaProcess(TimeDiscretizationInterface, int, int, int, double, double) - Constructor for class net.finmath.montecarlo.GammaProcess
Construct a Gamma process with a given shape parameter.
GammaProcess(TimeDiscretizationInterface, int, int, int, double) - Constructor for class net.finmath.montecarlo.GammaProcess
Construct a Gamma process with a given shape parameter.
GARCH - Class in net.finmath.timeseries.models.parametric
Log-normal process with GARCH(1,1) volatility.
GARCH(double[]) - Constructor for class net.finmath.timeseries.models.parametric.GARCH
Create GARCH model estimated form the given time series of values.
GARCH(double[], int, int) - Constructor for class net.finmath.timeseries.models.parametric.GARCH
Create GARCH model estimated form the given time series of values.
get() - Method in class net.finmath.concurrency.FutureWrapper
 
get(long, TimeUnit) - Method in class net.finmath.concurrency.FutureWrapper
 
get(int) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
get(int) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
get(int) - Method in class net.finmath.montecarlo.RandomVariable
 
get(int) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
get(int) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
get() - Method in interface net.finmath.stochastic.RandomVariableAccumulatorInterface
 
get(double, double) - Method in interface net.finmath.stochastic.RandomVariableAccumulatorInterface
 
get(int) - Method in interface net.finmath.stochastic.RandomVariableInterface
Evaluate at a given path or state.
get(int) - Method in class net.finmath.stochastic.Scalar
 
getAccruedInterest(LocalDate, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
Returns the accrued interest of the bond for a given date.
getAccruedInterest(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
Returns the accrued interest of the bond for a given time.
getAccuracy() - Method in class net.finmath.analytic.calibration.Solver
Returns the accuracy achieved in the last solver run.
getAccuracy() - Method in class net.finmath.marketdata.calibration.Solver
Returns the accuracy achieved in the last solver run.
getAccuracy() - Method in class net.finmath.optimizer.GoldenSectionSearch
 
getAdjustedDate(LocalDate, BusinessdayCalendarInterface.DateRollConvention) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendar
 
getAdjustedDate(LocalDate, String, BusinessdayCalendarInterface.DateRollConvention) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendar
 
getAdjustedDate(LocalDate, BusinessdayCalendarInterface.DateRollConvention) - Method in interface net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface
Get an adjusted date for a given date.
getAdjustedDate(LocalDate, String, BusinessdayCalendarInterface.DateRollConvention) - Method in interface net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface
Get an adjusted date for a given date and offset code.
getAnalyticModel() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getAnalyticModel() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getAnalyticModel() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getAnalyticModel() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getAnalyticModel() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getAnalyticModel() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getAnalyticModel() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getAnalyticModel() - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelInterface
Return the associated analytic model, a collection of market date object like discount curve, forward curve and volatility surfaces.
getAsArrayList() - Method in class net.finmath.time.TimeDiscretization
 
getAsArrayList() - Method in interface net.finmath.time.TimeDiscretizationInterface
Return a clone of this time discretization as ArrayList<Double>.
getAsDoubleArray() - Method in class net.finmath.time.TimeDiscretization
 
getAsDoubleArray() - Method in interface net.finmath.time.TimeDiscretizationInterface
Return a clone of this time discretization as double[].
getAssetValue(int, int) - Method in interface net.finmath.montecarlo.assetderivativevaluation.AssetModelMonteCarloSimulationInterface
Returns the random variable representing the asset's value at a given time for a given asset.
getAssetValue(double, int) - Method in interface net.finmath.montecarlo.assetderivativevaluation.AssetModelMonteCarloSimulationInterface
Returns the random variable representing the asset's value at a given time for a given asset.
getAssetValue(double, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getAssetValue(int, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getAssetValue(double, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getAssetValue(int, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getAssetValue(double, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getAssetValue(int, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getAssetValue(double, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getAssetValue(int, int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getAssetValue(int, int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getAssetValue(double, int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getAssetValue(int, int) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getAssetValue(double, int) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getATMForward(AnalyticModelInterface, boolean) - Method in class net.finmath.marketdata.products.Cap
Return the ATM forward for this cap.
getAverage() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getAverage(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getAverage() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getAverage(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getAverage() - Method in class net.finmath.montecarlo.RandomVariable
 
getAverage(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
getAverage() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getAverage(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getAverage() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getAverage(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getAverage() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the expectation of this random variable.
getAverage(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the expectation of this random variable for a given probability measure (weight).
getAverage() - Method in class net.finmath.stochastic.Scalar
 
getAverage(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
getBarrierDiracWidth() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory
 
getBaseCalendar() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenHolidays
 
getBaseCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
Returns the base covariance model, i.e., the model providing the factor loading F such that this model's i-th factor loading is (a Li,0 + (1-a)Li(t)) Fi(t) where a is the displacement and Li is the realization of the i-th component of the stochastic process and Fi is the factor loading loading from the given covariance model.
getBaseCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.DisplacedLocalVolatilityModel
Returns the base covariance model, i.e., the model providing the factor loading F such that this model's i-th factor loading is (a Li,0 + (1-a)Li(t)) Fi(t) where a is the displacement and Li is the realization of the i-th component of the stochastic process and Fi is the factor loading loading from the given covariance model.
getBaseCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
Returns the base covariance model, i.e., the model providing the factor loading F such that this model's i-th factor loading is (a Li,0 + (1-a)Li(t)) Fi(t) where a is the displacement and Li is the realization of the i-th component of the stochastic process and Fi is the factor loading loading from the given covariance model.
getBaseCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.modelplugins.DisplacedLocalVolatilityModel
Returns the base covariance model, i.e., the model providing the factor loading F such that this model's i-th factor loading is (a Li,0 + (1-a)Li(t)) Fi(t) where a is the displacement and Li is the realization of the i-th component of the stochastic process and Fi is the factor loading loading from the given covariance model.
getBaseCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.modelplugins.HullWhiteLocalVolatilityModel
Returns the base covariance model, i.e., the model providing the factor loading F.
getBaseCurve() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getBasisFactorCurveName() - Method in class net.finmath.marketdata.model.bond.Bond
 
getBasisFunctions() - Method in interface net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression.RegressionBasisFunctions
 
getBasisFunctions() - Method in class net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression.RegressionBasisFunctionsGiven
 
getBasisFunctions(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.conditionalexpectation.RegressionBasisFunctionsFromProducts
 
getBasisFunctions(double, MonteCarloSimulationInterface) - Method in interface net.finmath.montecarlo.conditionalexpectation.RegressionBasisFunctionsProvider
 
getBasisFunctions(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Option
 
getBasisFunctions(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Option
Return the regression basis functions.
getBestFitParameters() - Method in class net.finmath.optimizer.LevenbergMarquardt
 
getBestFitParameters() - Method in interface net.finmath.optimizer.OptimizerInterface
Get the best fit parameter vector.
getBestFitParameters() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
getBestFitParameters() - Method in interface net.finmath.optimizer.StochasticOptimizerInterface
Get the best fit parameter vector.
getBestFitParameters() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
getBestParameters() - Method in interface net.finmath.timeseries.HistoricalSimulationModel
Returns the parameters estimated for the given time series.
getBestParameters(Map<String, Object>) - Method in interface net.finmath.timeseries.HistoricalSimulationModel
Returns the parameters estimated for the given time series, using a parameter guess.
getBestParameters() - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getBestParameters(Map<String, Object>) - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getBestParameters() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
getBestParameters(Map<String, Object>) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
getBestParameters() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getBestParameters(Map<String, Object>) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getBestParameters() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getBestParameters(Map<String, Object>) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getBestParameters() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getBestParameters(Map<String, Object>) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getBestParameters() - Method in class net.finmath.timeseries.models.parametric.GARCH
 
getBestParameters(Map<String, Object>) - Method in class net.finmath.timeseries.models.parametric.GARCH
 
getBestParameters() - Method in class net.finmath.timeseries.models.parametric.SimpleHistroricalSimulation
 
getBestParameters(Map<String, Object>) - Method in class net.finmath.timeseries.models.parametric.SimpleHistroricalSimulation
 
getBestPoint() - Method in class net.finmath.optimizer.GoldenSectionSearch
 
getBrownianIncrement(int, int) - Method in class net.finmath.montecarlo.BrownianBridge
 
getBrownianIncrement(int, int) - Method in class net.finmath.montecarlo.BrownianMotion
 
getBrownianIncrement(int, int) - Method in interface net.finmath.montecarlo.BrownianMotionInterface
Return the Brownian increment for a given timeIndex.
getBrownianIncrement(int, int) - Method in class net.finmath.montecarlo.BrownianMotionView
 
getBrownianIncrement(int, int) - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getBrownianMotion() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getBrownianMotion() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getBrownianMotion() - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Returns the Brownian motion used to simulate the curve.
getBrownianMotion() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getBrownianMotion() - Method in interface net.finmath.montecarlo.process.AbstractProcessInterface
Deprecated.
Please use getStochasticDriver() instead.
getBrownianMotion() - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
getBrownianMotion() - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getBuildString() - Static method in class net.finmath.information.Library
Return the build string of this instance of finmath-lib.
getCalibratedModel(Set<ParameterObjectInterface>) - Method in class net.finmath.analytic.calibration.Solver
Find the model such that the equation objectiveFunctions.getValue(model) = 0 holds.
getCalibratedModel(Set<ParameterObjectInterface>) - Method in class net.finmath.marketdata.calibration.Solver
Find the model such that the equation objectiveFunctions.getValue(model) = 0 holds.
getCalibrationProductForSpec(CalibratedCurves.CalibrationSpec) - Method in class net.finmath.analytic.calibration.CalibratedCurves
 
getCalibrationProductForSpec(CalibratedCurves.CalibrationSpec) - Method in class net.finmath.marketdata.calibration.CalibratedCurves
 
getCalibrationProductForSymbol(String) - Method in class net.finmath.analytic.calibration.CalibratedCurves
Returns the first product found in the vector of calibration products which matches the given symbol, where symbol is the String set in the calibrationSpecs.
getCalibrationProductForSymbol(String) - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Returns the first product found in the vector of calibration products which matches the given symbol, where symbol is the String set in the calibrationSpecs.
getCloneBuilder() - Method in class net.finmath.analytic.model.curves.Curve
 
getCloneBuilder() - Method in interface net.finmath.analytic.model.curves.CurveInterface
Returns a curve builder bases on a clone of this curve.
getCloneBuilder() - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.Curve
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.CurveFromProductOfCurves
 
getCloneBuilder() - Method in interface net.finmath.marketdata.model.curves.CurveInterface
Returns a curve builder bases on a clone of this curve.
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromProductOfCurves
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.IndexCurveFromDiscountCurve
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getCloneBuilder() - Method in class net.finmath.marketdata.model.curves.SeasonalCurve
 
getCloneCalibrated(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, Map<String, Object>) - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurfaceParametric
 
getCloneCalibrated(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, Map<String, Object>, ParameterTransformation) - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurfaceParametric
 
getCloneCalibrated(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, Map<String, Object>, ParameterTransformation, OptimizerFactoryInterface) - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurfaceParametric
Create a clone of this volatility surface using a generic calibration of its parameters to given market data.
getCloneCalibrated(LIBORMarketModelInterface, AbstractLIBORMonteCarloProduct[], RandomVariableInterface[], double[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.AbstractLIBORCovarianceModelParametric
 
getCloneCalibrated(LIBORMarketModelInterface, AbstractLIBORMonteCarloProduct[], RandomVariableInterface[], double[], Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.AbstractLIBORCovarianceModelParametric
Performs a generic calibration of the parametric model by trying to match a given vector of calibration product to a given vector of target values using a given vector of weights.
getCloneCalibrated(LIBORMarketModelInterface, AbstractLIBORMonteCarloProduct[], double[], double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
 
getCloneCalibrated(LIBORMarketModelInterface, AbstractLIBORMonteCarloProduct[], double[], double[], Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
Deprecated. 
getCloneCalibrated(LIBORMarketModelInterface, AbstractLIBORMonteCarloProduct[], RandomVariableInterface[], double[], Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
Performs a generic calibration of the parametric model by trying to match a given vector of calibration product to a given vector of target values using a given vector of weights.
getCloneCalibrated(LIBORMarketModelInterface, AbstractLIBORMonteCarloProduct[], RandomVariableInterface[], double[], Map<String, Object>) - Method in interface net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelCalibrateable
Performs a calibration of the model by trying to match a given vector of calibration product to a given vector of target values using a given vector of weights.
getCloneCalibrated(TermStructureModelInterface, AbstractLIBORMonteCarloProduct[], double[], double[], Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureCovarianceModelParametric
Return a calibrated clone of the covariance model.
getCloneCalibrated(TimeSeriesInterface) - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getCloneCalibrated(TimeSeriesInterface) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getCloneCalibrated(TimeSeriesInterface) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getCloneCalibrated(TimeSeriesInterface) - Method in interface net.finmath.timeseries.TimeSeriesModelParametric
 
getCloneForParameter(RandomVariableInterface[]) - Method in class net.finmath.analytic.calibration.ParameterAggregation
 
getCloneForParameter(RandomVariableInterface[]) - Method in interface net.finmath.analytic.calibration.ParameterObjectInterface
Create a clone with a modified parameter.
getCloneForParameter(Map<ParameterObjectInterface, RandomVariableInterface[]>) - Method in class net.finmath.analytic.model.AnalyticModel
 
getCloneForParameter(Map<ParameterObjectInterface, RandomVariableInterface[]>) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
 
getCloneForParameter(RandomVariableInterface[]) - Method in class net.finmath.analytic.model.curves.AbstractCurve
 
getCloneForParameter(RandomVariableInterface[]) - Method in class net.finmath.analytic.model.curves.Curve
 
getCloneForParameter(RandomVariableInterface[]) - Method in interface net.finmath.analytic.model.curves.CurveInterface
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.calibration.ParameterAggregation
 
getCloneForParameter(double[]) - Method in interface net.finmath.marketdata.calibration.ParameterObjectInterface
Create a clone with a modified parameter.
getCloneForParameter(Map<ParameterObjectInterface, double[]>) - Method in class net.finmath.marketdata.model.AnalyticModel
 
getCloneForParameter(Map<ParameterObjectInterface, double[]>) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.AbstractCurve
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.Curve
 
getCloneForParameter(double[]) - Method in interface net.finmath.marketdata.model.curves.CurveInterface
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.curves.SeasonalCurve
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurfaceParametric
Returns a clone of this volatility surface with modified parameters.
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricDisplacedFourParameterAnalytic
 
getCloneForParameter(double[]) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricFourParameterPicewiseConstant
 
getCloneIndependent() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getCloneIndependent() - Method in interface net.finmath.montecarlo.automaticdifferentiation.RandomVariableDifferentiableInterface
Returns a clone of this differentiable random variable with a new ID.
getCloneShifted(double) - Method in class net.finmath.analytic.calibration.CalibratedCurves.CalibrationSpec
 
getCloneShifted(String, double) - Method in class net.finmath.analytic.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneShifted(Map<String, Double>) - Method in class net.finmath.analytic.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneShifted(Pattern, double) - Method in class net.finmath.analytic.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneShifted(double) - Method in class net.finmath.marketdata.calibration.CalibratedCurves.CalibrationSpec
 
getCloneShifted(String, double) - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneShifted(Map<String, Double>) - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneShifted(Pattern, double) - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneShiftedForRegExp(String, double) - Method in class net.finmath.analytic.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneShiftedForRegExp(String, double) - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Returns the set curves calibrated to "shifted" market data, that is, the market date of this object, modified by the shifts provided to this methods.
getCloneWithModifiedCovarianceModel(AbstractLIBORCovarianceModel) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getCloneWithModifiedCovarianceModel(AbstractLIBORCovarianceModel) - Method in interface net.finmath.montecarlo.interestrate.LIBORMarketModelInterface
Create a new object implementing LIBORMarketModelInterface, using the new covariance model.
getCloneWithModifiedCovarianceModel(AbstractLIBORCovarianceModel) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getCloneWithModifiedData(Map<String, Object>) - Method in interface net.finmath.montecarlo.assetderivativevaluation.AssetModelMonteCarloSimulationInterface
Create a clone of this simulation modifying some of its properties (if any).
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getCloneWithModifiedData(Map<String, Object>) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelInterface
Create a new object implementing LIBORModelInterface, using the new data.
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getCloneWithModifiedData(String, Object) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
Create a clone of this simulation modifying one of its properties (if any).
getCloneWithModifiedData(Map<String, Object>) - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelInterface
Create a new object implementing TermStructureModelInterface, using the new data.
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getCloneWithModifiedData(String, Object) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
Create a clone of this simulation modifying one of its properties (if any).
getCloneWithModifiedData(Map<String, Object>) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Returns a clone of this model where the specified properties have been modified.
getCloneWithModifiedData(Map<String, Object>) - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
Create a clone of this simulation modifying some of its properties (if any).
getCloneWithModifiedData(Map<String, Object>) - Method in interface net.finmath.montecarlo.process.AbstractProcessInterface
Returns a clone of this model where the specified properties have been modified.
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
getCloneWithModifiedData(Map<String, Object>) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelThreeParameterExponentialDecay
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModel
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialForm
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialFormIntegrated
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFromGivenMatrix
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelMaturityDependentFourParameterExponentialForm
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTimeHomogenousPiecewiseConstant
 
getCloneWithModifiedParameter(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTwoParameterExponentialForm
 
getCloneWithModifiedParameters(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.AbstractLIBORCovarianceModelParametric
Return an instance of this model using a new set of parameters.
getCloneWithModifiedParameters(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
 
getCloneWithModifiedParameters(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.DisplacedLocalVolatilityModel
 
getCloneWithModifiedParameters(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelExponentialForm5Param
 
getCloneWithModifiedParameters(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getCloneWithModifiedParameters(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelStochasticVolatility
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
Return an instance of this model using a new set of parameters.
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.DisplacedLocalVolatilityModel
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.HullWhiteLocalVolatilityModel
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm7Param
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticHestonVolatility
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticVolatility
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModelParametric
 
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureCovarianceModelParametric
Return an instance of this model using a new set of parameters.
getCloneWithModifiedParameters(double[]) - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureFactorLoadingsModelParametricInterface
Return an instance of this model using a new set of parameters.
getCloneWithModifiedParameters(double[]) - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingInterface
Create a new object constructed from a clone of this time scaling, where some parameters have been modified.
getCloneWithModifiedParameters(double[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingPicewiseConstant
 
getCloneWithModifiedSeed(int) - Method in interface net.finmath.montecarlo.assetderivativevaluation.AssetModelMonteCarloSimulationInterface
Create a clone of the object implementing AssetModelMonteCarloSimulationInterface using a different Monte-Carlo seed.
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.BrownianBridge
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.BrownianMotion
 
getCloneWithModifiedSeed(int) - Method in interface net.finmath.montecarlo.BrownianMotionInterface
Return a new object implementing BrownianMotionInterface having the same specifications as this object but a different seed for the random number generator.
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.BrownianMotionView
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.GammaProcess
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
Deprecated. 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.IndependentIncrements
 
getCloneWithModifiedSeed(int) - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Return a new object implementing BrownianMotionInterface having the same specifications as this object but a different seed for the random number generator.
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getCloneWithModifiedSeed(int) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Deprecated. 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
getCloneWithModifiedSeed(int) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getCloneWithModifiedTargetValues(double[], double[], boolean) - Method in class net.finmath.optimizer.LevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
getCloneWithModifiedTargetValues(List<Number>, List<Number>, boolean) - Method in class net.finmath.optimizer.LevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
getCloneWithModifiedTargetValues(RandomVariableInterface[], RandomVariableInterface[], boolean) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
getCloneWithModifiedTargetValues(List<RandomVariableInterface>, List<RandomVariableInterface>, boolean) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
getCloneWithModifiedTargetValues(RandomVariableInterface[], RandomVariableInterface[], boolean) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
getCloneWithModifiedTargetValues(List<RandomVariableInterface>, List<RandomVariableInterface>, boolean) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in class net.finmath.montecarlo.BrownianBridge
 
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in class net.finmath.montecarlo.BrownianMotion
 
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in interface net.finmath.montecarlo.BrownianMotionInterface
Return a new object implementing BrownianMotionInterface having the same specifications as this object but a different time discretization.
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in class net.finmath.montecarlo.BrownianMotionView
 
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in class net.finmath.montecarlo.GammaProcess
 
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in class net.finmath.montecarlo.IndependentIncrements
 
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Return a new object implementing BrownianMotionInterface having the same specifications as this object but a different time discretization.
getCloneWithModifiedTimeDiscretization(TimeDiscretizationInterface) - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getCloneWithWindow(int, int) - Method in interface net.finmath.timeseries.HistoricalSimulationModel
Create a new model, using only a window of the times series.
getCloneWithWindow(int, int) - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getCloneWithWindow(int, int) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
getCloneWithWindow(double, int, int) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
getCloneWithWindow(int, int) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getCloneWithWindow(int, int) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getCloneWithWindow(double, int, int) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getCloneWithWindow(int, int) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getCloneWithWindow(int, int) - Method in class net.finmath.timeseries.models.parametric.GARCH
 
getCloneWithWindow(int, int) - Method in class net.finmath.timeseries.models.parametric.SimpleHistroricalSimulation
 
getConditionalExpectation(ConditionalExpectationEstimatorInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getConditionalExpectation(ConditionalExpectationEstimatorInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getConditionalExpectation(RandomVariableInterface) - Method in class net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression
 
getConditionalExpectation(ConditionalExpectationEstimatorInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
getConditionalExpectation(RandomVariableInterface) - Method in interface net.finmath.stochastic.ConditionalExpectationEstimatorInterface
Return the conditional expectation of a given random variable.
getConditionalExpectation(ConditionalExpectationEstimatorInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the conditional expectation using a given conditional expectation estimator.
getConditionalExpectationEstimator(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
Return the conditional expectation estimator suitable for this product.
getCorrelation(int, int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
getCorrelation(int, int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
 
getCorrelation(int, int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelThreeParameterExponentialDecay
 
getCorrelationModel() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getCorrelationModel() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getCoupon(LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getCoupon(LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Period
 
getCoupon() - Method in class net.finmath.montecarlo.interestrate.products.indices.FixedCoupon
Returns the coupon.
getCouponPayment(int, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
Returns the coupon payment of the period with the given index.
getCovariance(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getCovariance(double, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
Returns the instantaneous covariance calculated from factor loadings.
getCovariance(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
Returns the instantaneous covariance calculated from factor loadings.
getCovariance(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getCovarianceModel() - Method in interface net.finmath.montecarlo.interestrate.LIBORMarketModelInterface
Return the libor covariance model.
getCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getCovarianceModel() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
Returns the term structure covariance model.
getCurrency() - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
Returns the currency string of this notional.
getCurrency() - Method in interface net.finmath.montecarlo.interestrate.products.components.AbstractNotional
Returns the currency string of this notional.
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.components.AccruingNotional
 
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.components.ExposureEstimator
 
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.components.IndexedValue
 
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.components.Notional
 
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.components.Option
 
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.components.ProductCollection
 
getCurrency() - Method in class net.finmath.montecarlo.interestrate.products.Portfolio
 
getCurve(String) - Method in class net.finmath.analytic.calibration.CalibratedCurves
Get a curve for a given name.
getCurve(String) - Method in class net.finmath.analytic.model.AnalyticModel
 
getCurve(String) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Get a curve by a given curve name.
getCurve(String) - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Get a curve for a given name.
getCurve(String) - Method in class net.finmath.marketdata.model.AnalyticModel
 
getCurve(String) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Get a curve by a given curve name.
getCurves() - Method in class net.finmath.analytic.model.AnalyticModel
 
getCurves() - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Returns an unmodifiable map of all curves.
getCurves() - Method in class net.finmath.marketdata.model.AnalyticModel
 
getCurves() - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Returns an unmodifiable map of all curves.
getDate(int) - Method in class net.finmath.time.Tenor
 
getDate(int) - Method in interface net.finmath.time.TenorInterface
Returns the date for the given time index.
getDate() - Method in class net.finmath.timeseries.MarketData
 
getDateFromFloatingPointDate(LocalDate, double) - Static method in class net.finmath.time.FloatingpointDate
Convert a floating point date to a LocalDate.
getDaycount(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_30E_360
 
getDaycount(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_30E_360_ISDA
 
getDaycount(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_30U_360
 
getDaycount(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT
 
getDaycount(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_NL_365
 
getDaycount(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_NONE
 
getDaycount(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_UNKNOWN
 
getDaycount(LocalDate, LocalDate, String) - Static method in class net.finmath.time.daycount.DayCountConventionFactory
Return the number of days between startDate and endDate given the specific daycount convention.
getDaycount(LocalDate, LocalDate) - Method in interface net.finmath.time.daycount.DayCountConventionInterface
Return the number of days between startDate and endDate given the specific daycount convention.
getDayCountConvention(String) - Static method in class net.finmath.time.daycount.DayCountConventionFactory
Create a day count convention base on a convention string.
getDaycountconvention() - Method in class net.finmath.time.RegularSchedule
 
getDaycountconvention() - Method in class net.finmath.time.Schedule
 
getDaycountconvention() - Method in interface net.finmath.time.ScheduleInterface
Returns the daycount convention used to calculate period lengths.
getDaycountFraction() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_30E_360
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_30E_360_ISDA
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_30U_360
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_360
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_365
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_365A
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_365L
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_ACT_AFB
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_ACT_ICMA
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_ACT_ISDA
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_ACT_ACT_YEARFRAC
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_NL_365
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_NONE
 
getDaycountFraction(LocalDate, LocalDate) - Method in class net.finmath.time.daycount.DayCountConvention_UNKNOWN
 
getDaycountFraction(LocalDate, LocalDate, String) - Static method in class net.finmath.time.daycount.DayCountConventionFactory
Return the daycount fraction corresponding to the period from startDate to endDate given the specific daycount convention.
getDaycountFraction(LocalDate, LocalDate) - Method in interface net.finmath.time.daycount.DayCountConventionInterface
Return the daycount fraction corresponding to the period from startDate to endDate given the specific daycount convention.
getDaycountFraction(int) - Method in class net.finmath.time.Tenor
 
getDaycountFraction(int) - Method in interface net.finmath.time.TenorInterface
Returns the day count fraction for the period form timeIndex to to timeIndex+1.
getDenominatorIndex() - Method in class net.finmath.montecarlo.interestrate.products.indices.PerformanceIndex
Returns the denominator index.
getDescriptor() - Method in class net.finmath.fouriermethod.models.BlackScholesModel
 
getDescriptor() - Method in class net.finmath.fouriermethod.models.HestonModel
 
getDescriptor() - Method in class net.finmath.fouriermethod.products.DigitalOption
 
getDescriptor() - Method in class net.finmath.fouriermethod.products.EuropeanOption
 
getDescriptor() - Method in interface net.finmath.modelling.DescribedModel
Return a model descriptor representing this model.
getDescriptor() - Method in interface net.finmath.modelling.DescribedProduct
Return a product descriptor representing this product.
getDescriptor() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.DigitalOption
 
getDescriptor() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.EuropeanOption
 
getDescriptor() - Method in class net.finmath.montecarlo.interestrate.products.SwapLeg
 
getDimension() - Method in class net.finmath.randomnumbers.AccceptanceRejectionRandomNumberGenerator
 
getDimension() - Method in class net.finmath.randomnumbers.HaltonSequence
 
getDimension() - Method in interface net.finmath.randomnumbers.RandomNumberGenerator
 
getDiscountCurve(String) - Method in class net.finmath.analytic.model.AnalyticModel
 
getDiscountCurve(String) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Returns a discount curve for a given name.
getDiscountCurve(String) - Method in class net.finmath.marketdata.model.AnalyticModel
 
getDiscountCurve(String) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Returns a discount curve for a given name.
getDiscountCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getDiscountCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getDiscountCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getDiscountCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getDiscountCurve() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getDiscountCurve() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getDiscountCurve() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getDiscountCurve() - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelInterface
Return the discount curve associated the forwards.
getDiscountCurveForDiscountRate() - Method in class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
getDiscountCurveForDiscountRate() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getDiscountCurveForForwardRate() - Method in class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
getDiscountCurveForForwardRate() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getDiscountCurveName() - Method in class net.finmath.analytic.model.curves.AbstractForwardCurve
 
getDiscountCurveName() - Method in interface net.finmath.analytic.model.curves.ForwardCurveInterface
 
getDiscountCurveName() - Method in class net.finmath.analytic.products.Deposit
 
getDiscountCurveName() - Method in class net.finmath.analytic.products.SwapLeg
 
getDiscountCurveName() - Method in class net.finmath.marketdata.model.bond.Bond
 
getDiscountCurveName() - Method in class net.finmath.marketdata.model.curves.AbstractForwardCurve
 
getDiscountCurveName() - Method in interface net.finmath.marketdata.model.curves.ForwardCurveInterface
 
getDiscountCurveName() - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getDiscountCurveName() - Method in class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
 
getDiscountCurveName() - Method in class net.finmath.marketdata.products.Cap
Returns the name of the discount curve referenced by this cap.
getDiscountCurveName() - Method in class net.finmath.marketdata.products.Deposit
 
getDiscountCurveName() - Method in class net.finmath.marketdata.products.SwapLeg
 
getDiscountFactor(double) - Method in class net.finmath.analytic.model.curves.DiscountCurve
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.analytic.model.curves.DiscountCurve
 
getDiscountFactor(double) - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
getDiscountFactor(double) - Method in interface net.finmath.analytic.model.curves.DiscountCurveInterface
Returns the discount factor for the corresponding maturity.
getDiscountFactor(AnalyticModelInterface, double) - Method in interface net.finmath.analytic.model.curves.DiscountCurveInterface
Returns the discount factor for the corresponding maturity.
getDiscountFactor(double) - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getDiscountFactor(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurve
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurve
 
getDiscountFactor(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
getDiscountFactor(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromProductOfCurves
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromProductOfCurves
 
getDiscountFactor(double) - Method in interface net.finmath.marketdata.model.curves.DiscountCurveInterface
Returns the discount factor for the corresponding maturity.
getDiscountFactor(AnalyticModelInterface, double) - Method in interface net.finmath.marketdata.model.curves.DiscountCurveInterface
Returns the discount factor for the corresponding maturity.
getDiscountFactor(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
Return the discount factor within a given model context for a given maturity.
getDiscountFactor(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getDiscountFactor(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getDoubleValue() - Method in class net.finmath.swing.JNumberField
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
Return the complete vector of the drift for the time index timeIndex, given that current state is realizationAtTimeIndex.
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Return the complete vector of the drift for the time index timeIndex, given that current state is realizationAtTimeIndex.
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
Return the complete vector of the drift for the time index timeIndex, given that current state is realizationAtTimeIndex.
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
This method has to be implemented to return the drift, i.e.
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getDrift(int, int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getDrift(int, int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getDrift(int, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
Get the the drift.
getDriftApproximationMethod() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getDriftApproximationMethod() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getDriftEuler(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getEnum(String) - Static method in enum net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface.DateOffsetUnit
Get the date offset unit enum for a string (using common synonyms like "d", "b", "bd", "w").
getEnum(String) - Static method in enum net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface.DateRollConvention
Get the date roll convention enum for a string (using common synonyms like "modfollow".
getEnum(String) - Static method in enum net.finmath.time.ScheduleGenerator.DaycountConvention
 
getExchangeRate(String, String, double) - Method in interface net.finmath.montecarlo.crosscurrency.CrossCurrencyTermStructureModelMonteCarloSimulationInterface
Return the (cross curve or currency) exchange rate for a given simulation time.
getExerciseDate() - Method in class net.finmath.montecarlo.interestrate.products.Swaption
 
getExerciseDates() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption
 
getExerciseIndicator(LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.Swaption
Deprecated.
getExerciseTimes() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getExtrapolationMethod() - Method in class net.finmath.analytic.model.curves.Curve
Returns the extrapolation method used by this curve.
getExtrapolationMethod() - Method in class net.finmath.marketdata.model.curves.Curve
Returns the extrapolation method used by this curve.
getFactorDrift(LIBORModelMonteCarloSimulationInterface, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.AbstractLIBORMonteCarloProduct
Overwrite this method if the product supplies a custom FactorDriftInterface to be used in proxy simulation.
getFactorDrift(int, RandomVariableInterface[]) - Method in interface net.finmath.montecarlo.process.component.factordrift.FactorDriftInterface
The interface describes how an additional factor drift may be specified for the generation of a process (see e.g.
getFactorDriftDeterminant(int, RandomVariableInterface[]) - Method in interface net.finmath.montecarlo.process.component.factordrift.FactorDriftInterface
The interface describes how an additional factor drift may be specified for the generation of a process (see e.g.
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.DisplacedLocalVolatilityModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelExponentialForm5Param
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelStochasticVolatility
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getFactorLoading(double, double, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
Return the factor loading for a given time and a given component.
getFactorLoading(double, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
Return the factor loading for a given time and component index.
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
Return the factor loading for a given time index and component index.
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.DisplacedLocalVolatilityModel
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.HullWhiteLocalVolatilityModel
 
getFactorLoading(int, int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
getFactorLoading(int, int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
 
getFactorLoading(int, int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelThreeParameterExponentialDecay
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm7Param
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticHestonVolatility
 
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticVolatility
 
getFactorLoading(double, double, double, TimeDiscretizationInterface, RandomVariableInterface[], TermStructureModelInterface) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModel
 
getFactorLoading(double, double, double, TimeDiscretizationInterface, RandomVariableInterface[], TermStructureModelInterface) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModelParametric
 
getFactorLoading(double, double, double, TimeDiscretizationInterface, RandomVariableInterface[], TermStructureModelInterface) - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureFactorLoadingsModelInterface
Return the factor loading for a given time and a term structure period.
getFactorLoading(int, int, RandomVariableInterface[]) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
This method has to be implemented to return the factor loadings, i.e.
getFactorLoading(int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getFactorLoading(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getFactorLoading(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
This method should be overwritten and return the factor loading, i.e.
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.DisplacedLocalVolatilityModel
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelExponentialForm5Param
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelStochasticVolatility
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
Returns the pseudo inverse of the factor matrix.
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.DisplacedLocalVolatilityModel
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.HullWhiteLocalVolatilityModel
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm7Param
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticHestonVolatility
 
getFactorLoadingPseudoInverse(int, int, int, RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticVolatility
 
getFactorMatrix(double[][], int) - Static method in class net.finmath.functions.LinearAlgebra
Returns the matrix of the n Eigenvectors corresponding to the first n largest Eigenvalues of a correlation matrix.
getFactorScaling(int, RandomVariableInterface[]) - Method in interface net.finmath.montecarlo.process.component.factordrift.FactorDriftInterface
The interface describes how an additional factor scaling may be specified for the generation of a process (see e.g.
getFactory() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getFiltrationTime() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getFiltrationTime() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getFiltrationTime() - Method in class net.finmath.montecarlo.RandomVariable
 
getFiltrationTime() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getFiltrationTime() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getFiltrationTime() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the filtration time.
getFiltrationTime() - Method in class net.finmath.stochastic.Scalar
 
getFinalMaturity() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getFixedCoupon() - Method in class net.finmath.marketdata.model.bond.Bond
 
getFixedPartCurve() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getFixedPartEndTime() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getFixedPartStartTime() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getFixing() - Method in class net.finmath.time.Period
 
getFixing(int) - Method in class net.finmath.time.RegularSchedule
 
getFixing(int) - Method in class net.finmath.time.Schedule
 
getFixing(int) - Method in interface net.finmath.time.ScheduleInterface
Return the fixing converted to the internal daycounting relative to the schedules reference date.
getFixingDate() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getFixingDates(double) - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getFixingDates() - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
 
getFixingDates() - Method in class net.finmath.montecarlo.interestrate.products.Swaption
 
getFixingTime() - Method in class net.finmath.analytic.products.Deposit
 
getFixingTime() - Method in class net.finmath.marketdata.products.Deposit
 
getFloatingPointDateFromDate(LocalDate, LocalDate) - Static method in class net.finmath.time.FloatingpointDate
Convert a given date to a floating point date using a given reference date.
getFloatingSpread() - Method in class net.finmath.marketdata.model.bond.Bond
 
getForward(AnalyticModelInterface, double) - Method in class net.finmath.analytic.model.curves.ForwardCurve
 
getForward(AnalyticModelInterface, double, double) - Method in class net.finmath.analytic.model.curves.ForwardCurve
Returns the forward for the corresponding fixing time.
getForward(AnalyticModelInterface, double) - Method in class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
 
getForward(AnalyticModelInterface, double, double) - Method in class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
 
getForward(AnalyticModelInterface, double) - Method in interface net.finmath.analytic.model.curves.ForwardCurveInterface
Returns the forward for the corresponding fixing time.
getForward(AnalyticModelInterface, double, double) - Method in interface net.finmath.analytic.model.curves.ForwardCurveInterface
Returns the forward for the corresponding fixing time and paymentOffset.
getForward(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurve
 
getForward(AnalyticModelInterface, double, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurve
Returns the forward for the corresponding fixing time.
getForward(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
 
getForward(AnalyticModelInterface, double, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
 
getForward(AnalyticModelInterface, double) - Method in interface net.finmath.marketdata.model.curves.ForwardCurveInterface
Returns the forward for the corresponding fixing time.
getForward(AnalyticModelInterface, double, double) - Method in interface net.finmath.marketdata.model.curves.ForwardCurveInterface
Returns the forward for the corresponding fixing time and paymentOffset.
getForward(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getForward(AnalyticModelInterface, double, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getForward(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
 
getForward(AnalyticModelInterface, double, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
 
getForwardCurve(String) - Method in class net.finmath.analytic.model.AnalyticModel
 
getForwardCurve(String) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Returns a forward curve for a given name.
getForwardCurve(String) - Method in class net.finmath.marketdata.model.AnalyticModel
 
getForwardCurve(String) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Returns a forward curve for a given name.
getForwardCurveName() - Method in class net.finmath.analytic.products.SwapLeg
 
getForwardCurveName() - Method in class net.finmath.marketdata.model.bond.Bond
 
getForwardCurveName() - Method in class net.finmath.marketdata.products.Cap
Returns the name of the forward curve references by this cap.
getForwardCurveName() - Method in class net.finmath.marketdata.products.SwapLeg
 
getForwardRate(String, double, double, double) - Method in interface net.finmath.montecarlo.crosscurrency.CrossCurrencyTermStructureModelMonteCarloSimulationInterface
Return the forward rate for a given simulation time and a given period start and period end.
getForwardRateCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getForwardRateCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getForwardRateCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getForwardRateCurve() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getForwardRateCurve() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getForwardRateCurve() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getForwardRateCurve() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getForwardRateCurve() - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelInterface
Return the initial forward rate curve.
getForwards(AnalyticModelInterface, double[]) - Method in class net.finmath.analytic.model.curves.AbstractForwardCurve
Returns the forwards for a given vector fixing times.
getForwards(AnalyticModelInterface, double[]) - Method in class net.finmath.marketdata.model.curves.AbstractForwardCurve
Returns the forwards for a given vector fixing times.
getForwards(AnalyticModelInterface, double[]) - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
Returns the forwards for a given vector fixing times.
getForwards(AnalyticModelInterface, double[]) - Method in class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
Returns the forwards for a given vector fixing times.
getForwardSwapRate(TimeDiscretizationInterface, TimeDiscretizationInterface, ForwardCurveInterface) - Static method in class net.finmath.analytic.products.Swap
 
getForwardSwapRate(TimeDiscretizationInterface, TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface) - Static method in class net.finmath.analytic.products.Swap
 
getForwardSwapRate(ScheduleInterface, ScheduleInterface, ForwardCurveInterface) - Static method in class net.finmath.analytic.products.Swap
 
getForwardSwapRate(ScheduleInterface, ScheduleInterface, ForwardCurveInterface, AnalyticModelInterface) - Static method in class net.finmath.analytic.products.Swap
 
getForwardSwapRate(TimeDiscretizationInterface, TimeDiscretizationInterface, ForwardCurveInterface) - Static method in class net.finmath.marketdata.products.Swap
 
getForwardSwapRate(TimeDiscretizationInterface, TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface) - Static method in class net.finmath.marketdata.products.Swap
 
getForwardSwapRate(ScheduleInterface, ScheduleInterface, ForwardCurveInterface) - Static method in class net.finmath.marketdata.products.Swap
 
getForwardSwapRate(ScheduleInterface, ScheduleInterface, ForwardCurveInterface, AnalyticModelInterface) - Static method in class net.finmath.marketdata.products.Swap
 
getForwardValue(double) - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getForwardValue(double) - Method in interface net.finmath.finitedifference.models.FiniteDifference1DModel
 
getGradient(Set<Long>) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
Returns the gradient of this random variable with respect to all its leaf nodes.
getGradient(Set<Long>) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
Returns the gradient of this random variable with respect to all its leaf nodes.
getGradient() - Method in interface net.finmath.montecarlo.automaticdifferentiation.RandomVariableDifferentiableInterface
Returns the gradient of this random variable with respect to all its leaf nodes.
getGradient(Set<Long>) - Method in interface net.finmath.montecarlo.automaticdifferentiation.RandomVariableDifferentiableInterface
Returns the gradient of this random variable with respect to the given IDs.
getHaltonNumber(long) - Method in class net.finmath.randomnumbers.HaltonSequence
 
getHaltonNumber(long, int) - Method in class net.finmath.randomnumbers.HaltonSequence
 
getHaltonNumberForGivenBase(long, int) - Static method in class net.finmath.randomnumbers.HaltonSequence
Return a Halton number, sequence starting at index = 0, base > 1.
getHistogram(double[]) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getHistogram(int, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getHistogram(double[]) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getHistogram(int, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getHistogram(double[]) - Method in class net.finmath.montecarlo.RandomVariable
 
getHistogram(int, double) - Method in class net.finmath.montecarlo.RandomVariable
 
getHistogram(double[]) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getHistogram(int, double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getHistogram(double[]) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getHistogram(int, double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getHistogram(double[]) - Method in interface net.finmath.stochastic.RandomVariableInterface
Generates a Histogram based on the realizations stored in this random variable.
getHistogram(int, double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Generates a histogram based on the realizations stored in this random variable using interval points calculated from the arguments, see also RandomVariableInterface.getHistogram(double[]).
getHistogram(double[]) - Method in class net.finmath.stochastic.Scalar
 
getHistogram(int, double) - Method in class net.finmath.stochastic.Scalar
 
getHolidays() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenHolidays
 
getHolidays() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenSetOfHolidays
 
getHolidays() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingLONHolidays
 
getHolidays() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingNYCHolidays
 
getHybridAssetLIBORModel(LIBORModelMonteCarloSimulationInterface, BrownianMotionInterface, double[], double, double[][], double[], double[], double[], DiscountCurveInterface) - Method in class net.finmath.montecarlo.hybridassetinterestrate.ModelFactory
Create a simple equity hybrid LIBOR market model with a calibration of the equity processes to a given Black-Scholes implied volatility.
getID() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getID() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getID() - Method in interface net.finmath.montecarlo.automaticdifferentiation.RandomVariableDifferentiableInterface
A unique id for this random variable.
getImpliedBachelierATMOptionVolatility(RandomVariableInterface, double, double) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionATM
Calculates ATM Bachelier implied volatilities.
getImpliedBachelierVolatility(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getImpliedBachelierVolatility(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getImpliedVolatility(double, AnalyticModelInterface, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.products.Cap
Returns the value of this cap in terms of an implied volatility (of a flat caplet surface).
getIncrement(int) - Method in class net.finmath.montecarlo.BrownianBridge
 
getIncrement(int, int) - Method in class net.finmath.montecarlo.BrownianBridge
 
getIncrement(int, int) - Method in class net.finmath.montecarlo.BrownianMotion
 
getIncrement(int, int) - Method in class net.finmath.montecarlo.BrownianMotionView
 
getIncrement(int, int) - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getIncrement(int, int) - Method in class net.finmath.montecarlo.GammaProcess
 
getIncrement(int, int) - Method in class net.finmath.montecarlo.IndependentIncrements
 
getIncrement(int) - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Return the increment for a given timeIndex.
getIncrement(int, int) - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Return the increment for a given timeIndex and given factor.
getIncrement(int, int) - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getIndex() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
getIndex() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getIndex1() - Method in class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
Returns the index 1.
getIndex2() - Method in class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
Returns the index 2.
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getInitialState() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getInitialState() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getInitialState() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getInitialState() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getInitialState() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getInitialState() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getInitialState() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getInitialState() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getInitialState() - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Returns the initial value of the state variable of the process Y, not to be confused with the initial value of the model X (which is the state space transform applied to this state value.
getInitialState() - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getInitialValue() - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getInitialValue() - Method in class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
getInitialValue() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getInitialValue() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
Return the initial value of this model.
getInitialValue() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
Return the initial value of this model.
getInitialValue() - Method in class net.finmath.montecarlo.model.AbstractModel
Returns the initial value of the model.
getInitialValue() - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getInitialValue() - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getInstance() - Static method in class net.finmath.montecarlo.hybridassetinterestrate.ModelFactory
 
getIntegratedBondSquaredVolatility(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getIntegratedBondSquaredVolatility(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getIntegratedBondSquaredVolatility(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getIntegratedBondSquaredVolatility(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getIntegratedLIBORCovariance() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getIntegratedLIBORCovariance() - Method in interface net.finmath.montecarlo.interestrate.LIBORMarketModelInterface
Returns the integrated instantaneous log-forward rate covariance, i.e., \( \int_{0}^{t_i} \mathrm{d} \log(L_{j}) \mathrm{d} \log(L_{k}) \mathrm{d}t \).
getIntegratedLIBORCovariance() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getIntegratedLIBORCovariance(LIBORMarketModel) - Static method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation
 
getIntegratedLIBORCovariance(LIBORMarketModel) - Static method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato
 
getIntegratedLIBORCovariance(LIBORMarketModel) - Static method in class net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation
 
getIntegratedLIBORCovariance(LIBORMarketModel) - Static method in class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation
 
getIntegrationDomainImagLowerBound() - Method in class net.finmath.fouriermethod.products.AbstractProductFourierTransform
Return the lower bound of the imaginary part of the domain where the characteristic function can be integrated.
getIntegrationDomainImagLowerBound() - Method in class net.finmath.fouriermethod.products.DigitalOption
 
getIntegrationDomainImagLowerBound() - Method in class net.finmath.fouriermethod.products.EuropeanOption
 
getIntegrationDomainImagUpperBound() - Method in class net.finmath.fouriermethod.products.AbstractProductFourierTransform
Return the upper bound of the imaginary part of the domain where the characteristic function can be integrated.
getIntegrationDomainImagUpperBound() - Method in class net.finmath.fouriermethod.products.DigitalOption
 
getIntegrationDomainImagUpperBound() - Method in class net.finmath.fouriermethod.products.EuropeanOption
 
getInterpolationEntity() - Method in class net.finmath.analytic.model.curves.Curve
Returns the interpolation entity used by this curve.
getInterpolationEntity() - Method in class net.finmath.marketdata.model.curves.Curve
Returns the interpolation entity used by this curve.
getInterpolationEntityForward() - Method in class net.finmath.analytic.model.curves.ForwardCurve
Returns the special interpolation method used for this forward curve.
getInterpolationEntityForward() - Method in class net.finmath.marketdata.model.curves.ForwardCurve
Returns the special interpolation method used for this forward curve.
getInterpolationMethod() - Method in class net.finmath.analytic.interpolation.RationalFunctionInterpolation
Returns the interpolation method used.
getInterpolationMethod() - Method in class net.finmath.analytic.model.curves.Curve
Returns the interpolation method used by this curve.
getInterpolationMethod() - Method in class net.finmath.interpolation.RationalFunctionInterpolation
Returns the interpolation method used.
getInterpolationMethod() - Method in class net.finmath.marketdata.model.curves.Curve
Returns the interpolation method used by this curve.
getIntervalLength(int) - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getIntervalNumber(double) - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
Returns for a given x the number of the interval where x is included.
getIntervalReferencePoint(int) - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getIntValue() - Method in class net.finmath.swing.JNumberField
 
getIsCallable() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getIterations() - Method in class net.finmath.analytic.calibration.Solver
Returns the number of iterations required in the last solver step.
getIterations() - Method in class net.finmath.marketdata.calibration.Solver
Returns the number of iterations required in the last solver step.
getIterations() - Method in class net.finmath.optimizer.LevenbergMarquardt
 
getIterations() - Method in interface net.finmath.optimizer.OptimizerInterface
Get the number of iterations.
getIterations() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
getIterations() - Method in interface net.finmath.optimizer.StochasticOptimizerInterface
Get the number of iterations.
getIterations() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
getJumpIntensity() - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getJumpSizeMean() - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getJumpSizeStdDev() - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getKappa() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getLambda() - Method in class net.finmath.optimizer.LevenbergMarquardt
Get the parameter λ used in the Tikhonov-like regularization of the Hessian matrix, that is the \( \lambda \) in \( H + \lambda \diag H \).
getLambda() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Get the parameter λ used in the Tikhonov-like regularization of the Hessian matrix, that is the \( \lambda \) in \( H + \lambda \diag H \).
getLambda() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Get the parameter λ used in the Tikhonov-like regularization of the Hessian matrix, that is the \( \lambda \) in \( H + \lambda \diag H \).
getLambdaDivisor() - Method in class net.finmath.optimizer.LevenbergMarquardt
Get the divisor applied to lambda (for the next iteration) if the inversion of regularized Hessian succeeds, that is, if \( H + \lambda \diag H \) is invertable.
getLambdaDivisor() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Get the divisor applied to lambda (for the next iteration) if the inversion of regularized Hessian succeeds, that is, if \( H + \lambda \diag H \) is invertable.
getLambdaDivisor() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Get the divisor applied to lambda (for the next iteration) if the inversion of regularized Hessian succeeds, that is, if \( H + \lambda \diag H \) is invertable.
getLambdaMultiplicator() - Method in class net.finmath.optimizer.LevenbergMarquardt
Get the multiplicator applied to lambda if the inversion of regularized Hessian fails, that is, if \( H + \lambda \diag H \) is not invertable.
getLambdaMultiplicator() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Get the multiplicator applied to lambda if the inversion of regularized Hessian fails, that is, if \( H + \lambda \diag H \) is not invertable.
getLambdaMultiplicator() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Get the multiplicator applied to lambda if the inversion of regularized Hessian fails, that is, if \( H + \lambda \diag H \) is not invertable.
getLastAccuracy() - Method in class net.finmath.analytic.calibration.CalibratedCurves
Return the accuracy achieved in the last calibration.
getLastAccuracy() - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Return the accuracy achieved in the last calibration.
getLastNumberOfInterations() - Method in class net.finmath.analytic.calibration.CalibratedCurves
Return the number of iterations needed to calibrate the model.
getLastNumberOfInterations() - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Return the number of iterations needed to calibrate the model.
getLastOperationTimingDerivative() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.DeltaHedgedPortfolioWithAAD
 
getLastOperationTimingValuation() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.DeltaHedgedPortfolioWithAAD
 
getLastResidualForParameters(double[]) - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getLastResidualForParameters(double, double, double, double) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
getLastResidualForParameters(double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getLastResidualForParameters(double, double, double, double) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getLastResidualForParameters(double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getLastResidualForParameters(double, double, double) - Method in class net.finmath.timeseries.models.parametric.GARCH
Returns the last estimate of the time series volatility.
getLastValuationExerciseTime() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption
 
getLegPayer() - Method in class net.finmath.analytic.products.Swap
Return the payer leg of the swap, i.e. the leg who's value is subtracted from the swap value.
getLegPayer() - Method in class net.finmath.marketdata.products.Swap
Return the payer leg of the swap, i.e. the leg who's value is subtracted from the swap value.
getLegReceiver() - Method in class net.finmath.analytic.products.Swap
Return the receiver leg of the swap, i.e. the leg who's value is added to the swap value.
getLegReceiver() - Method in class net.finmath.marketdata.products.Swap
Return the receiver leg of the swap, i.e. the leg who's value is added to the swap value.
getLegSchedule() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
getLength() - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getLIBOR(int, double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getLIBOR(int, int) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelInterface
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getLIBOR(int, int) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Return the forward rate for a given simulation time index and a given forward rate index.
getLIBOR(double, double, double) - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelInterface
 
getLIBOR(int, int) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getLIBOR(double, double, double) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getLIBOR(double, double, double) - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulationInterface
Return the forward rate for a given simulation time and a given period start and period end.
getLIBORForStateVariable(TimeDiscretizationInterface, RandomVariableInterface[], double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getLiborPeriod(int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getLiborPeriod(int) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelInterface
The period start corresponding to a given forward rate discretization index.
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getLiborPeriod(int) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Returns the period start of the specified forward rate period.
getLiborPeriod(int) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModel
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getLiborPeriodDiscretization() - Method in interface net.finmath.montecarlo.interestrate.LIBORModelInterface
The tenor time discretization of the forward rate curve.
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getLiborPeriodDiscretization() - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Returns the libor period discretization as time discretization representing start and end dates of periods.
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
The forward rate time discretization associated with this model (defines the components).
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModel
 
getLiborPeriodDiscretization() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getLiborPeriodIndex(double) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelInterface
Same as java.util.Arrays.binarySearch(liborPeriodDiscretization,time).
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getLiborPeriodIndex(double) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Same as java.util.Arrays.binarySearch(liborPeriodDiscretization,time).
getLiborPeriodIndex(double) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getLIBORs(int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getLIBORs(int) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getLIBORs(int) - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Return the forward rate curve for a given simulation time index.
getLIBORs(int) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getLinearRegressionParameters(RandomVariableInterface) - Method in class net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression
Return the solution x of XTX x = XT y for a given y.
getLogLikelihoodForParameters(double[]) - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getLogLikelihoodForParameters(double, double, double, double) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
getLogLikelihoodForParameters(double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getLogLikelihoodForParameters(double, double, double, double) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getLogLikelihoodForParameters(double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getLogLikelihoodForParameters(double, double, double) - Method in class net.finmath.timeseries.models.parametric.GARCH
Get log likelihood of the sample time series for given model parameters.
getLogSwaprateDerivative(TimeDiscretizationInterface, DiscountCurveInterface, ForwardCurveInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation
This function calculate the partial derivative d log(S) / d log(Lk) for a given swap rate with respect to a vector of forward rates (on a given forward rate tenor).
getLogSwaprateDerivative(TimeDiscretizationInterface, DiscountCurveInterface, ForwardCurveInterface, double[]) - Static method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato
This function calculate the partial derivative d log(S) / d log(Lk) for a given swap rate with respect to a vector of forward rates (on a given forward rate tenor).
getLogSwapRateDerivative(TimeDiscretizationInterface, DiscountCurveInterface, ForwardCurveInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation
This function calculate the partial derivative d log(S) / d log(Lk) for a given swap rate with respect to a vector of forward rates (on a given forward rate tenor).
getLogSwaprateDerivative(TimeDiscretizationInterface, ForwardCurveInterface, double[]) - Static method in class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation
This function calculate the partial derivative d log(S) / d log(Lk) for a given swap rate with respect to a vector of forward rates (on a given forward rate tenor).
getLowerBound() - Method in class net.finmath.integration.AbstractRealIntegral
Get the lower integration bound.
getMaturity() - Method in class net.finmath.fouriermethod.products.AbstractProductFourierTransform
Return the maturity of the associated payoff.
getMaturity() - Method in class net.finmath.fouriermethod.products.DigitalOption
 
getMaturity() - Method in class net.finmath.fouriermethod.products.EuropeanOption
 
getMaturity() - Method in class net.finmath.modelling.descriptor.SingleAssetDigitalOptionProductDescriptor
 
getMaturity() - Method in class net.finmath.modelling.descriptor.SingleAssetEuropeanOptionProductDescriptor
 
getMaturity() - Method in class net.finmath.montecarlo.interestrate.products.Bond
 
getMax() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getMax() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getMax() - Method in class net.finmath.montecarlo.RandomVariable
 
getMax() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getMax() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getMax() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the maximum value attained by this random variable.
getMax() - Method in class net.finmath.stochastic.Scalar
 
getMaxAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getMaxAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getMeanReversion(int) - Method in interface net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolailityModelInterface
Returns the value of \( a(t) \) for \( t_{i} \leq t < t_{i+1} \).
getMeanReversion(int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModel
 
getMeanReversion(int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModelHoLee
 
getMeanSquaredError(double[]) - Method in class net.finmath.optimizer.LevenbergMarquardt
 
getMeanSquaredError(RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
getMeanSquaredError(RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
getMeasure() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getMeasure() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getMin() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getMin() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getMin() - Method in class net.finmath.montecarlo.RandomVariable
 
getMin() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getMin() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getMin() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the minimum value attained by this random variable.
getMin() - Method in class net.finmath.stochastic.Scalar
 
getMinAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getMinAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getModel() - Method in class net.finmath.analytic.calibration.CalibratedCurves
Return the calibrated model, i.e., the model maintaining a collection of curves calibrated to the given calibration specifications.
getModel() - Method in class net.finmath.marketdata.calibration.CalibratedCurves
Return the calibrated model, i.e., the model maintaining a collection of curves calibrated to the given calibration specifications.
getModel() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
Returns the AbstractModel used for this Monte-Carlo simulation.
getModel() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
Returns the AbstractModel used for this Monte-Carlo simulation.
getModel() - Method in interface net.finmath.montecarlo.crosscurrency.CrossCurrencyTermStructureModelMonteCarloSimulationInterface
Returns the underlying model.
getModel() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getModel() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getModel() - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
Returns the underlying model.
getModel() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getModel() - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulationInterface
Returns the underlying model.
getModelFromDescriptor(BlackScholesModelDescriptor) - Method in class net.finmath.modelling.descriptor.BlackScholesModelMonteCarloFactory
 
getModelFromDescriptor(BlackScholesModelDescriptor) - Method in class net.finmath.modelling.descriptor.BlackScholesModelMonteCarloFiniteDifference1D
 
getModelFromDescriptor(HestonModelDescriptor) - Method in class net.finmath.modelling.descriptor.HestonModelMonteCarloFactory
 
getModelFromDescriptor(BlackScholesModelDescriptor) - Method in class net.finmath.modelling.modelfactory.BlackScholesModelFourierFactory
 
getModelFromDescriptor(BlackScholesModelDescriptor) - Method in class net.finmath.modelling.modelfactory.BlackScholesModelMonteCarloFactory
 
getModelFromDescriptor(BlackScholesModelDescriptor) - Method in class net.finmath.modelling.modelfactory.BlackScholesModelMonteCarloFiniteDifference1D
 
getModelFromDescriptor(T) - Method in interface net.finmath.modelling.ModelFactory
Get the model for the given descriptor.
getModelFromDescriptor(HestonModelDescriptor) - Method in class net.finmath.modelling.modelfactory.HestonModelFourierFactory
 
getModelFromDescriptor(HestonModelDescriptor) - Method in class net.finmath.modelling.modelfactory.HestonModelMonteCarloFactory
 
getModelFromDescriptor(HullWhiteModelDescriptor) - Method in class net.finmath.modelling.modelfactory.HullWhiteMonteCarloFactory
 
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.model.AbstractModel
 
getMonteCarloWeights(int) - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
This method returns the weights of a weighted Monte Carlo method (the probability density).
getMonteCarloWeights(double) - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
This method returns the weights of a weighted Monte Carlo method (the probability density).
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
This method returns the weights of a weighted Monte Carlo method (the probability density).
getMonteCarloWeights(int) - Method in interface net.finmath.montecarlo.process.ProcessInterface
This method returns the weights of a weighted Monte Carlo method (the probability density).
getMonteCarloWeights(double) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getMonteCarloWeights(int) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
This method returns the weights of a weighted Monte Carlo method (the probability density).
getName() - Method in class net.finmath.analytic.model.curves.AbstractCurve
 
getName() - Method in interface net.finmath.analytic.model.curves.CurveInterface
Get the name of the curve.
getName() - Method in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
getName() - Method in interface net.finmath.analytic.model.volatilities.VolatilitySurfaceInterface
Returns the name of the volatility surface.
getName() - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getName() - Method in class net.finmath.marketdata.model.curves.AbstractCurve
 
getName() - Method in interface net.finmath.marketdata.model.curves.CurveInterface
Get the name of the curve.
getName() - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getName() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getName() - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
getName() - Method in interface net.finmath.marketdata.model.volatilities.VolatilitySurfaceInterface
Returns the name of the volatility surface.
getName() - Method in class net.finmath.montecarlo.interestrate.products.indices.AbstractIndex
Returns the name of the index.
getName() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenHolidays
 
getNameOfUnderlying() - Method in class net.finmath.modelling.descriptor.SingleAssetDigitalOptionProductDescriptor
 
getNext() - Method in class net.finmath.randomnumbers.AccceptanceRejectionRandomNumberGenerator
 
getNext() - Method in class net.finmath.randomnumbers.HaltonSequence
 
getNext() - Method in interface net.finmath.randomnumbers.RandomNumberGenerator
 
getNextPoint() - Method in class net.finmath.optimizer.GoldenSectionSearch
Returns the next point for which a valuation is requested.
getNotional() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
getNotional() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getNotional() - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
 
getNotional() - Method in class net.finmath.montecarlo.interestrate.products.Swaption
 
getNotionalAtPeriodEnd(AbstractPeriod, LIBORModelMonteCarloSimulationInterface) - Method in interface net.finmath.montecarlo.interestrate.products.components.AbstractNotional
Calculates the notional at the end of a period, given a period.
getNotionalAtPeriodEnd(AbstractPeriod, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.AccruingNotional
 
getNotionalAtPeriodEnd(AbstractPeriod, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Notional
 
getNotionalAtPeriodStart(AbstractPeriod, LIBORModelMonteCarloSimulationInterface) - Method in interface net.finmath.montecarlo.interestrate.products.components.AbstractNotional
Calculates the notional at the start of a period, given a period.
getNotionalAtPeriodStart(AbstractPeriod, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.AccruingNotional
 
getNotionalAtPeriodStart(AbstractPeriod, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Notional
 
getNotionals() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption
 
getNumberOfAssets() - Method in interface net.finmath.montecarlo.assetderivativevaluation.AssetModelMonteCarloSimulationInterface
Returns the number of asset price processes.
getNumberOfAssets() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getNumberOfAssets() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getNumberOfAssets() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getNumberOfAssets() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getNumberOfAssets() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getNumberOfAssets() - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
This method is just a synonym to getNumberOfLibors
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getNumberOfComponents() - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Returns the number of components
getNumberOfComponents() - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
 
getNumberOfComponents() - Method in interface net.finmath.montecarlo.process.ProcessInterface
 
getNumberOfComponents() - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.BrownianBridge
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.BrownianMotion
 
getNumberOfFactors() - Method in interface net.finmath.montecarlo.BrownianMotionInterface
Returns the number of factors.
getNumberOfFactors() - Method in class net.finmath.montecarlo.BrownianMotionView
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.GammaProcess
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.IndependentIncrements
 
getNumberOfFactors() - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Returns the number of factors.
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getNumberOfFactors() - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelThreeParameterExponentialDecay
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModel
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModelParametric
 
getNumberOfFactors() - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureFactorLoadingsModelInterface
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.model.AbstractModel
 
getNumberOfFactors() - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Returns the number of factors m, i.e., the number of independent Brownian drivers.
getNumberOfFactors() - Method in interface net.finmath.montecarlo.process.AbstractProcessInterface
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
getNumberOfFactors() - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getNumberOfIntervals() - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getNumberOfIterations() - Method in class net.finmath.optimizer.GoldenSectionSearch
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getNumberOfLibors() - Method in interface net.finmath.montecarlo.interestrate.LIBORModelInterface
Get the number of LIBORs in the LIBOR discretization.
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getNumberOfLibors() - Method in interface net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface
 
getNumberOfLibors() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.BrownianBridge
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.BrownianMotion
 
getNumberOfPaths() - Method in interface net.finmath.montecarlo.BrownianMotionInterface
Returns the number of paths.
getNumberOfPaths() - Method in class net.finmath.montecarlo.BrownianMotionView
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.GammaProcess
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.IndependentIncrements
 
getNumberOfPaths() - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Returns the number of paths.
getNumberOfPaths() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getNumberOfPaths() - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
Returns the numberOfPaths.
getNumberOfPaths() - Method in interface net.finmath.montecarlo.process.AbstractProcessInterface
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
getNumberOfPaths() - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getNumberOfPeriods() - Method in class net.finmath.time.RegularSchedule
 
getNumberOfPeriods() - Method in class net.finmath.time.Schedule
 
getNumberOfPeriods() - Method in interface net.finmath.time.ScheduleInterface
Returns the number of periods.
getNumberOfTimePoints() - Method in class net.finmath.timeseries.TimeSeries
 
getNumberOfTimePoints() - Method in interface net.finmath.timeseries.TimeSeriesInterface
 
getNumberOfTimePoints() - Method in class net.finmath.timeseries.TimeSeriesView
 
getNumberOfTimes() - Method in class net.finmath.time.TimeDiscretization
 
getNumberOfTimes() - Method in interface net.finmath.time.TimeDiscretizationInterface
 
getNumberOfTimeSteps() - Method in class net.finmath.time.TimeDiscretization
 
getNumberOfTimeSteps() - Method in interface net.finmath.time.TimeDiscretizationInterface
 
getNumeraire(int) - Method in interface net.finmath.montecarlo.assetderivativevaluation.AssetModelMonteCarloSimulationInterface
Returns the numeraire associated with the valuation measure used by this model.
getNumeraire(double) - Method in interface net.finmath.montecarlo.assetderivativevaluation.AssetModelMonteCarloSimulationInterface
Returns the numeraire associated with the valuation measure used by this model.
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getNumeraire(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getNumeraire(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getNumeraire(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getNumeraire(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getNumeraire(double) - Method in interface net.finmath.montecarlo.crosscurrency.CrossCurrencyTermStructureModelMonteCarloSimulationInterface
Return the numeraire at a given time.
getNumeraire(double) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getNumeraire(int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
Return the numeraire at a given time.
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Return the numeraire at a given time.
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
Return the numeraire at a given time.
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getNumeraire(double) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getNumeraire(double) - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulationInterface
Return the numeraire at a given time.
getNumeraire(double) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Return the numeraire at a given time index.
getNumeraire(int) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getNumeraire(double) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getNumeratorIndex() - Method in class net.finmath.montecarlo.interestrate.products.indices.PerformanceIndex
Returns the numerator index.
getNumSpacesteps() - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getNumSpacesteps() - Method in interface net.finmath.finitedifference.models.FiniteDifference1DModel
 
getNumStandardDeviations() - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getNumStandardDeviations() - Method in interface net.finmath.finitedifference.models.FiniteDifference1DModel
 
getNumTimesteps() - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getObjectsToModifyForParameter(RandomVariableInterface[]) - Method in class net.finmath.analytic.calibration.ParameterAggregation
 
getObjectsToModifyForParameter(double[]) - Method in class net.finmath.marketdata.calibration.ParameterAggregation
 
getOperator() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getOperator() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getOperator() - Method in class net.finmath.montecarlo.RandomVariable
 
getOperator() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getOperator() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getOperator() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the operator path → this.get(path) corresponding to this random variable.
getOperator() - Method in class net.finmath.stochastic.Scalar
 
getOperatorTreeNode() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getOperatorTreeNode() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[]) - Method in class net.finmath.optimizer.OptimizerFactoryCMAES
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[], double[], double[]) - Method in class net.finmath.optimizer.OptimizerFactoryCMAES
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[], double[], double[], double[]) - Method in class net.finmath.optimizer.OptimizerFactoryCMAES
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[]) - Method in interface net.finmath.optimizer.OptimizerFactoryInterface
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[], double[], double[]) - Method in interface net.finmath.optimizer.OptimizerFactoryInterface
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[], double[], double[], double[]) - Method in interface net.finmath.optimizer.OptimizerFactoryInterface
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[]) - Method in class net.finmath.optimizer.OptimizerFactoryLevenbergMarquardt
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[], double[], double[]) - Method in class net.finmath.optimizer.OptimizerFactoryLevenbergMarquardt
 
getOptimizer(OptimizerInterface.ObjectiveFunction, double[], double[], double[], double[], double[]) - Method in class net.finmath.optimizer.OptimizerFactoryLevenbergMarquardt
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[]) - Method in interface net.finmath.optimizer.StochasticOptimizerFactoryInterface
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[]) - Method in interface net.finmath.optimizer.StochasticOptimizerFactoryInterface
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[]) - Method in interface net.finmath.optimizer.StochasticOptimizerFactoryInterface
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticOptimizerFactoryLevenbergMarquardtAD
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticPathwiseOptimizerFactoryLevenbergMarquardt
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticPathwiseOptimizerFactoryLevenbergMarquardt
 
getOptimizer(StochasticOptimizerInterface.ObjectiveFunction, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticPathwiseOptimizerFactoryLevenbergMarquardt
 
getOptionMaturities() - Method in interface net.finmath.marketdata.model.volatilities.AbstractSwaptionMarketData
 
getOptionMaturities() - Method in class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
getParameter() - Method in class net.finmath.analytic.calibration.ParameterAggregation
 
getParameter() - Method in interface net.finmath.analytic.calibration.ParameterObjectInterface
Get the current parameter associated with the state of the objects.
getParameter(RandomVariableInterface[]) - Method in interface net.finmath.analytic.calibration.ParameterTransformation
Return the original parameter for the given (unbounded) solver parameter.
getParameter() - Method in class net.finmath.analytic.model.curves.Curve
 
getParameter() - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
getParameter() - Method in class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
 
getParameter() - Method in class net.finmath.marketdata.calibration.ParameterAggregation
 
getParameter() - Method in interface net.finmath.marketdata.calibration.ParameterObjectInterface
Get the current parameter associated with the state of the objects.
getParameter(double[]) - Method in interface net.finmath.marketdata.calibration.ParameterTransformation
Return the original parameter for the given (unbounded) solver parameter.
getParameter() - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getParameter() - Method in class net.finmath.marketdata.model.curves.Curve
 
getParameter() - Method in class net.finmath.marketdata.model.curves.CurveFromProductOfCurves
 
getParameter() - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
getParameter() - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromProductOfCurves
 
getParameter() - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
getParameter() - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getParameter() - Method in class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
 
getParameter() - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getParameter() - Method in class net.finmath.marketdata.model.curves.IndexCurveFromDiscountCurve
 
getParameter() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getParameter() - Method in class net.finmath.marketdata.model.curves.SeasonalCurve
 
getParameter() - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
 
getParameter() - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricDisplacedFourParameterAnalytic
 
getParameter() - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricFourParameterPicewiseConstant
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.AbstractLIBORCovarianceModelParametric
Get the parameters of determining this parametric covariance model.
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.BlendedLocalVolatilityModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.DisplacedLocalVolatilityModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelExponentialForm5Param
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelStochasticVolatility
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFourParameterExponentialForm
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFromGivenMatrix
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelPiecewiseConstant
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
Get the parameters of determining this parametric covariance model.
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.BlendedLocalVolatilityModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.DisplacedLocalVolatilityModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.HullWhiteLocalVolatilityModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelThreeParameterExponentialDecay
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm7Param
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticHestonVolatility
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticVolatility
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModel
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialForm
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialFormIntegrated
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFromGivenMatrix
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelMaturityDependentFourParameterExponentialForm
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTimeHomogenousPiecewiseConstant
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTwoParameterExponentialForm
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModelParametric
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureCovarianceModelParametric
Get the parameters of determining this parametric covariance model.
getParameter() - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureFactorLoadingsModelParametricInterface
Get the parameters of determining this parametric covariance model.
getParameter() - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingInterface
 
getParameter() - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingPicewiseConstant
 
getParameterIndex(double) - Method in class net.finmath.analytic.model.curves.Curve
 
getParameterIndex(double) - Method in class net.finmath.marketdata.model.curves.Curve
 
getParameterNames() - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getParameterNames() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getParameterNames() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getParameterNames() - Method in interface net.finmath.timeseries.TimeSeriesModelParametric
 
getParameters() - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getParameters() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getParameters() - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getParameters() - Method in interface net.finmath.timeseries.TimeSeriesModelParametric
 
getPayment() - Method in class net.finmath.time.Period
 
getPayment(int) - Method in class net.finmath.time.RegularSchedule
 
getPayment(int) - Method in class net.finmath.time.Schedule
 
getPayment(int) - Method in interface net.finmath.time.ScheduleInterface
Return the payment date converted to the internal daycounting relative to the schedules reference date.
getPaymentDate() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getPaymentDates() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getPaymentDates() - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
 
getPaymentDates() - Method in class net.finmath.montecarlo.interestrate.products.Swaption
 
getPaymentOffset(double) - Method in class net.finmath.analytic.model.curves.AbstractForwardCurve
 
getPaymentOffset(double) - Method in interface net.finmath.analytic.model.curves.ForwardCurveInterface
Returns the payment offset associated with this forward curve and a corresponding fixingTime.
getPaymentOffset(double) - Method in class net.finmath.marketdata.model.curves.AbstractForwardCurve
 
getPaymentOffset(double) - Method in interface net.finmath.marketdata.model.curves.ForwardCurveInterface
Returns the payment offset associated with this forward curve and a corresponding fixingTime.
getPaymentOffset(double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getPaymentOffset(double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveWithFixings
 
getPeriod(int) - Method in class net.finmath.time.RegularSchedule
 
getPeriod(int) - Method in class net.finmath.time.Schedule
 
getPeriod(int) - Method in interface net.finmath.time.ScheduleInterface
Return the period for a given period index.
getPeriodEnd() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getPeriodEnd() - Method in class net.finmath.time.Period
 
getPeriodEnd(int) - Method in class net.finmath.time.RegularSchedule
 
getPeriodEnd(int) - Method in class net.finmath.time.Schedule
 
getPeriodEnd(int) - Method in interface net.finmath.time.ScheduleInterface
Return the period end date converted to the internal daycounting relative to the schedules reference date.
getPeriodEndTime() - Method in class net.finmath.analytic.products.Deposit
 
getPeriodEndTime() - Method in class net.finmath.marketdata.products.Deposit
 
getPeriodIndex(double) - Method in class net.finmath.time.RegularSchedule
 
getPeriodIndex(LocalDate) - Method in class net.finmath.time.RegularSchedule
 
getPeriodIndex(double) - Method in class net.finmath.time.Schedule
 
getPeriodIndex(LocalDate) - Method in class net.finmath.time.Schedule
 
getPeriodIndex(double) - Method in interface net.finmath.time.ScheduleInterface
Return the index of the period which contains the given time point.
getPeriodIndex(LocalDate) - Method in interface net.finmath.time.ScheduleInterface
Return the index of the period which contains the given date.
getPeriodLength() - Method in class net.finmath.montecarlo.interestrate.products.indices.LIBORIndex
Returns the tenor encoded as an pseudo act/365 daycount fraction.
getPeriodLength(int) - Method in class net.finmath.time.RegularSchedule
 
getPeriodLength(int) - Method in class net.finmath.time.Schedule
 
getPeriodLength(int) - Method in interface net.finmath.time.ScheduleInterface
Return the period length for a given period index.
getPeriodLengths() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getPeriodLengths() - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
 
getPeriodLengths() - Method in class net.finmath.montecarlo.interestrate.products.Swaption
 
getPeriodNotionals() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getPeriods() - Method in class net.finmath.time.RegularSchedule
 
getPeriods() - Method in class net.finmath.time.Schedule
 
getPeriods() - Method in interface net.finmath.time.ScheduleInterface
Returns the array of periods.
getPeriodStart() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getPeriodStart() - Method in class net.finmath.time.Period
 
getPeriodStart(int) - Method in class net.finmath.time.RegularSchedule
 
getPeriodStart(int) - Method in class net.finmath.time.Schedule
 
getPeriodStart(int) - Method in interface net.finmath.time.ScheduleInterface
Return the period start date converted to the internal daycounting relative to the schedules reference date.
getPeriodStartOffset() - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelForwardCurveIndex
Returns the fixingOffet as an act/365 day count.
getPeriodStartOffset() - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelIndex
Returns the fixingOffet as an act/365 day count.
getPeriodStartOffset() - Method in class net.finmath.montecarlo.interestrate.products.indices.LIBORIndex
Returns the periodStartOffset as an act/365 daycount.
getPoint(int) - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getPoints() - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getPreferedValueIncrement() - Method in class net.finmath.swing.JNumberField
 
getProcess() - Method in interface net.finmath.montecarlo.crosscurrency.CrossCurrencyTermStructureModelMonteCarloSimulationInterface
 
getProcess() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getProcess() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getProcess() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getProcess() - Method in interface net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulationInterface
 
getProcess() - Method in class net.finmath.montecarlo.model.AbstractModel
 
getProcess() - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Get the numerical scheme used to generate the stochastic process.
getProcessValue(int, int) - Method in class net.finmath.montecarlo.model.AbstractModel
 
getProcessValue(double, int) - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
Returns the (possibly interpolated) value of this stochastic process at a given time \( t \).
getProcessValue(int, int) - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
 
getProcessValue(int, int) - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
This method returns the realization of the process at a certain time index.
getProcessValue(int, int) - Method in interface net.finmath.montecarlo.process.ProcessInterface
This method returns the realization of a component of the process for a given time index.
getProcessValue(int) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
This method returns the realization of the process at a certain time index.
getProcessValue(int, int) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
This method returns the realization of the process at a certain time index.
getProductFromDescriptor(ProductDescriptor) - Method in class net.finmath.fouriermethod.models.BlackScholesModel
 
getProductFromDescriptor(ProductDescriptor) - Method in class net.finmath.fouriermethod.models.HestonModel
 
getProductFromDescriptor(ProductDescriptor) - Method in interface net.finmath.modelling.DescribedModel
Construct a product from a product descriptor, which may be valued by this model.
getProductFromDescriptor(ProductDescriptor) - Method in interface net.finmath.modelling.ProductFactory
Constructs the product from a given product descriptor.
getProductFromDescriptor(ProductDescriptor) - Method in class net.finmath.modelling.productfactory.InterestRateMonteCarloProductFactory
 
getProductFromDescriptor(ProductDescriptor) - Method in class net.finmath.modelling.productfactory.ProductFactoryCascade
 
getProductFromDescriptor(ProductDescriptor) - Method in class net.finmath.modelling.productfactory.SingleAssetEuropeanOptionMonteCarloProductFactory
 
getProductFromDescriptor(ProductDescriptor) - Method in class net.finmath.modelling.productfactory.SingleAssetFourierProductFactory
 
getProductFromDescriptor(ProductDescriptor) - Method in class net.finmath.modelling.productfactory.SingleAssetMonteCarloProductFactory
 
getProductname() - Static method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
getProducts() - Method in class net.finmath.analytic.products.Portfolio
Returns the list of products as an unmodifiable list.
getProducts() - Method in class net.finmath.marketdata.products.Portfolio
Returns the list of products as an unmodifiable list.
getProducts() - Method in class net.finmath.montecarlo.interestrate.products.components.ProductCollection
Returns the collection containing all products as an unmodifiable collection.
getProducts() - Method in class net.finmath.montecarlo.interestrate.products.Portfolio
 
getQuantile(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getQuantile(double, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getQuantile(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getQuantile(double, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getQuantile(double) - Method in class net.finmath.montecarlo.RandomVariable
 
getQuantile(double, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
getQuantile(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getQuantile(double, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getQuantile(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getQuantile(double, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getQuantile(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the quantile value for this given random variable, i.e., the value x such that P(this < x) = quantile, where P denotes the probability measure.
getQuantile(double, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the quantile value for this given random variable, i.e., the value x such that P(this < x) = quantile, where P denotes the probability measure.
getQuantile(double) - Method in class net.finmath.stochastic.Scalar
 
getQuantile(double, RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
getQuantileExpectation(double, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getQuantileExpectation(double, double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getQuantileExpectation(double, double) - Method in class net.finmath.montecarlo.RandomVariable
 
getQuantileExpectation(double, double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getQuantileExpectation(double, double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getQuantileExpectation(double, double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the expectation over a quantile for this given random variable.
getQuantileExpectation(double, double) - Method in class net.finmath.stochastic.Scalar
 
getQuantilPredictions(int, double[]) - Method in class net.finmath.timeseries.models.parametric.SimpleHistroricalSimulation
 
getQuantilPredictionsForParameters(double[], double[]) - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getQuantilPredictionsForParameters(double, double, double, double, double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormal
 
getQuantilPredictionsForParameters(double, double, double, double, double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getQuantilPredictionsForParameters(double, double, double, double[]) - Method in class net.finmath.timeseries.models.parametric.GARCH
 
getQuotingConvention() - Method in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
getQuotingConvention() - Method in interface net.finmath.analytic.model.volatilities.VolatilitySurfaceInterface
Return the default quoting convention of this surface.
getQuotingConvention() - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
getQuotingConvention() - Method in interface net.finmath.marketdata.model.volatilities.VolatilitySurfaceInterface
Return the default quoting convention of this surface.
getRandomVariable() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getRandomVariableForConstant(double) - Method in class net.finmath.analytic.model.AnalyticModel
 
getRandomVariableForConstant(double) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.BrownianBridge
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.BrownianMotion
 
getRandomVariableForConstant(double) - Method in interface net.finmath.montecarlo.BrownianMotionInterface
Returns a random variable which is initialized to a constant, but has exactly the same number of paths or discretization points as the ones used by this BrownianMotionInterface.
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.BrownianMotionView
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.GammaProcess
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.IndependentIncrements
 
getRandomVariableForConstant(double) - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Returns a random variable which is initialized to a constant, but has exactly the same number of paths or discretization points as the ones used by this BrownianMotionInterface.
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getRandomVariableForConstant(double) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Return a random variable initialized with a constant using the models random variable factory.
getRandomVariableForConstant(double) - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
Returns a random variable which is initialized to a constant, but has exactly the same number of paths or discretization points as the ones used by this MonteCarloSimulationInterface.
getRandomVariableForConstant(double) - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
getRate(AnalyticModelInterface) - Method in class net.finmath.analytic.products.Deposit
Return the deposit rate implied by the given model's curve.
getRate() - Method in class net.finmath.analytic.products.Deposit
 
getRate(AnalyticModelInterface) - Method in class net.finmath.analytic.products.ForwardRateAgreement
Return the par FRA rate for a given curve.
getRate(AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Deposit
Return the deposit rate implied by the given model's curve.
getRate() - Method in class net.finmath.marketdata.products.Deposit
 
getRate(AnalyticModelInterface) - Method in class net.finmath.marketdata.products.ForwardRateAgreement
Return the par FRA rate for a given curve.
getRealizations() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getRealizations() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getRealizations() - Method in class net.finmath.montecarlo.RandomVariable
 
getRealizations() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getRealizations() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getRealizations() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns a vector representing the realization of this random variable.
getRealizations() - Method in class net.finmath.stochastic.Scalar
 
getRealizationsStream() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getRealizationsStream() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getRealizationsStream() - Method in class net.finmath.montecarlo.RandomVariable
 
getRealizationsStream() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getRealizationsStream() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getRealizationsStream() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns a stream of doubles corresponding to the realizations of this random variable.
getRealizationsStream() - Method in class net.finmath.stochastic.Scalar
 
getRecoveryRate() - Method in class net.finmath.marketdata.model.bond.Bond
 
getReferenceCurve() - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getReferenceDate() - Method in class net.finmath.analytic.model.curves.AbstractCurve
 
getReferenceDate() - Method in interface net.finmath.analytic.model.curves.CurveInterface
Return the reference date of this curve, i.e. the date associated with t=0.
getReferenceDate() - Method in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
getReferenceDate() - Method in interface net.finmath.analytic.model.volatilities.VolatilitySurfaceInterface
Return the reference date of this surface, i.e. the date associated with t=0.
getReferenceDate() - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getReferenceDate() - Method in class net.finmath.marketdata.model.curves.AbstractCurve
 
getReferenceDate() - Method in interface net.finmath.marketdata.model.curves.CurveInterface
Return the reference date of this curve, i.e. the date associated with t=0.
getReferenceDate() - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getReferenceDate() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getReferenceDate() - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
getReferenceDate() - Method in interface net.finmath.marketdata.model.volatilities.VolatilitySurfaceInterface
Return the reference date of this surface, i.e. the date associated with t=0.
getReferenceDate() - Method in class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
getReferenceDate() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getReferenceDate() - Method in class net.finmath.time.RegularSchedule
 
getReferenceDate() - Method in class net.finmath.time.Schedule
 
getReferenceDate() - Method in interface net.finmath.time.ScheduleInterface
Returns the reference data of this schedule.
getReferenceDate() - Method in class net.finmath.time.Tenor
 
getReferenceDate() - Method in interface net.finmath.time.TenorInterface
 
getReferencePoints() - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getRegressionCurve() - Method in class net.finmath.marketdata.model.curves.locallinearregression.CurveEstimation
Returns the curve resulting from the local linear regression with discrete kernel.
getRho() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getRiskFreeRate() - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getRiskFreeRate() - Method in interface net.finmath.finitedifference.models.FiniteDifference1DModel
 
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
Returns the risk free rate parameter of this model.
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
Returns the risk free rate parameter of this model.
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
Returns the risk free rate parameter of this model.
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Returns the risk free rate parameter of this model.
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
Returns the risk free rate parameter of this model.
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
Returns the risk free rate parameter of this model.
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getRiskFreeRate() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
Returns the risk free rate parameter of this model.
getRiskFreeRate() - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
Returns the riskFreeRate.
getRolledDate(LocalDate, int) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendar
 
getRolledDate(LocalDate, int) - Method in interface net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface
Find a new date by adding the given number of business days to a given base date.
getRootMeanSquaredError() - Method in class net.finmath.optimizer.LevenbergMarquardt
 
getRootMeanSquaredError() - Method in interface net.finmath.optimizer.OptimizerInterface
 
getRootMeanSquaredError() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
getRootMeanSquaredError() - Method in interface net.finmath.optimizer.StochasticOptimizerInterface
 
getRootMeanSquaredError() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
getSampleVariance() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getSampleVariance() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getSampleVariance() - Method in class net.finmath.montecarlo.RandomVariable
 
getSampleVariance() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getSampleVariance() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getSampleVariance() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the sample variance of this random variable, i.e., V * size()/(size()-1) where V = getVariance().
getSampleVariance() - Method in class net.finmath.stochastic.Scalar
 
getSampleVarianceAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getSampleVarianceAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getScaledTenorTime(double, double) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModelParametric
 
getScaledTenorTime(double, double) - Method in interface net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingInterface
 
getScaledTenorTime(double, double) - Method in class net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingPicewiseConstant
 
getScaling1() - Method in class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
Returns the scaling 1.
getScaling2() - Method in class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
Returns the scaling 2.
getSchedule() - Method in class net.finmath.analytic.products.Deposit
 
getSchedule() - Method in class net.finmath.analytic.products.SwapLeg
 
getSchedule() - Method in class net.finmath.marketdata.model.bond.Bond
 
getSchedule() - Method in class net.finmath.marketdata.products.Deposit
 
getSchedule() - Method in class net.finmath.marketdata.products.SwapLeg
 
getScheme() - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
getScheme() - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getSeed() - Method in class net.finmath.montecarlo.BrownianMotion
 
getSeed() - Method in class net.finmath.montecarlo.GammaProcess
 
getSeed() - Method in class net.finmath.montecarlo.IndependentIncrements
 
getSeed() - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getShortRateConditionalVariance(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModel
Calculates the variance \( \mathop{Var}(r(t) \vert r(s) ) \), that is \( \int_{s}^{t} \sigma^{2}(\tau) \exp(-2 \cdot \int_{\tau}^{t} a(u) \mathrm{d}u ) \ \mathrm{d}\tau \) where \( a \) is the meanReversion and \( \sigma \) is the short rate instantaneous volatility.
getShortRateConditionalVariance(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
Calculates the variance \( \mathop{Var}(r(t) \vert r(s) ) \), that is \( \int_{s}^{t} \sigma^{2}(\tau) \exp(-2 \cdot a \cdot (t-\tau)) \ \mathrm{d}\tau \) where \( a \) is the meanReversion and \( \sigma \) is the short rate instantaneous volatility.
getShortRateConditionalVariance(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
Calculates the variance \( \mathop{Var}(r(t) \vert r(s) ) \), that is \( \int_{s}^{t} \sigma^{2}(\tau) \exp(-2 \cdot \int_{\tau}^{t} a(u) \mathrm{d}u ) \ \mathrm{d}\tau \) where \( a \) is the meanReversion and \( \sigma \) is the short rate instantaneous volatility.
getShortRateConditionalVariance(double, double) - Method in class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
Calculates the variance \( \mathop{Var}(r(t) \vert r(s) ) \), that is \( \int_{s}^{t} \sigma^{2}(\tau) \exp(-2 \cdot \int_{\tau}^{t} a(u) \mathrm{d}u ) \ \mathrm{d}\tau \) where \( a \) is the meanReversion and \( \sigma \) is the short rate instantaneous volatility.
getSolverParameter(RandomVariableInterface[]) - Method in interface net.finmath.analytic.calibration.ParameterTransformation
Return the (unbounded) solver parameter for the given original parameter.
getSolverParameter(double[]) - Method in interface net.finmath.marketdata.calibration.ParameterTransformation
Return the (unbounded) solver parameter for the given original parameter.
getSpread() - Method in class net.finmath.analytic.products.SwapLeg
 
getSpread(double, CurveInterface, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
Returns the spread value such that the sum of cash flows of the bond discounted with a given reference curve with the additional spread coincides with a given price.
getSpread() - Method in class net.finmath.marketdata.products.SwapLeg
 
getSpread() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
getSpreadCurve() - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getStandardDeviation() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getStandardDeviation(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getStandardDeviation() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getStandardDeviation(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getStandardDeviation() - Method in class net.finmath.montecarlo.RandomVariable
 
getStandardDeviation(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
getStandardDeviation() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getStandardDeviation(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getStandardDeviation() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getStandardDeviation(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getStandardDeviation() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the standard deviation of this random variable, i.e., sqrt(V) where V = ((X-m)^2).getAverage() and X = this and m = X.getAverage().
getStandardDeviation(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the standard deviation of this random variable, i.e., sqrt(V) where V = ((X-m)^2).getAverage(probabilities) and X = this and m = X.getAverage(probabilities).
getStandardDeviation() - Method in class net.finmath.stochastic.Scalar
 
getStandardDeviation(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
getStandardDeviationAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getStandardDeviationAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getStandardError() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getStandardError(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getStandardError() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getStandardError(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getStandardError() - Method in class net.finmath.montecarlo.RandomVariable
 
getStandardError(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
getStandardError() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getStandardError(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getStandardError() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getStandardError(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getStandardError() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the standard error (discretization error) of this random variable.
getStandardError(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the standard error (discretization error) of this random variable.
getStandardError() - Method in class net.finmath.stochastic.Scalar
 
getStandardError(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
getStandardErrorAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getStandardErrorAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getStartTime() - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
 
getStateVariable(int, double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getStateVariableForPeriod(TimeDiscretizationInterface, RandomVariableInterface[], double, double) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement
 
getStochasticDriver() - Method in interface net.finmath.montecarlo.process.AbstractProcessInterface
 
getStochasticDriver() - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
getStrike() - Method in class net.finmath.marketdata.products.Cap
Returns the strike of this caplet.
getStrike() - Method in class net.finmath.modelling.descriptor.SingleAssetDigitalOptionProductDescriptor
 
getStrike() - Method in class net.finmath.modelling.descriptor.SingleAssetEuropeanOptionProductDescriptor
 
getStrikes() - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption
 
getStrikes() - Method in class net.finmath.montecarlo.interestrate.products.FlexiCap
 
getSurvivalProbabilityCurveName() - Method in class net.finmath.marketdata.model.bond.Bond
 
getSwap() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getSwapAnnuity(TimeDiscretizationInterface, DiscountCurveInterface) - Static method in class net.finmath.analytic.products.SwapAnnuity
Function to calculate an (idealized) swap annuity for a given schedule and discount curve.
getSwapAnnuity(TimeDiscretizationInterface, ForwardCurveInterface) - Static method in class net.finmath.analytic.products.SwapAnnuity
Function to calculate an (idealized) single curve swap annuity for a given schedule and forward curve.
getSwapAnnuity(ScheduleInterface, DiscountCurveInterface) - Static method in class net.finmath.analytic.products.SwapAnnuity
Function to calculate an (idealized) swap annuity for a given schedule and discount curve.
getSwapAnnuity(ScheduleInterface, ForwardCurveInterface) - Static method in class net.finmath.analytic.products.SwapAnnuity
Function to calculate an (idealized) single curve swap annuity for a given schedule and forward curve.
getSwapAnnuity(double, ScheduleInterface, DiscountCurveInterface, AnalyticModelInterface) - Static method in class net.finmath.analytic.products.SwapAnnuity
Function to calculate an (idealized) swap annuity for a given schedule and discount curve.
getSwapAnnuity(TimeDiscretizationInterface, DiscountCurveInterface) - Static method in class net.finmath.marketdata.products.SwapAnnuity
Function to calculate an (idealized) swap annuity for a given schedule and discount curve.
getSwapAnnuity(TimeDiscretizationInterface, ForwardCurveInterface) - Static method in class net.finmath.marketdata.products.SwapAnnuity
Function to calculate an (idealized) single curve swap annuity for a given schedule and forward curve.
getSwapAnnuity(ScheduleInterface, DiscountCurveInterface) - Static method in class net.finmath.marketdata.products.SwapAnnuity
Function to calculate an (idealized) swap annuity for a given schedule and discount curve.
getSwapAnnuity(ScheduleInterface, ForwardCurveInterface) - Static method in class net.finmath.marketdata.products.SwapAnnuity
Function to calculate an (idealized) single curve swap annuity for a given schedule and forward curve.
getSwapAnnuity(double, ScheduleInterface, DiscountCurveInterface, AnalyticModelInterface) - Static method in class net.finmath.marketdata.products.SwapAnnuity
Function to calculate an (idealized) swap annuity for a given schedule and discount curve.
getSwapPeriodLength() - Method in interface net.finmath.marketdata.model.volatilities.AbstractSwaptionMarketData
 
getSwapPeriodLength() - Method in class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
getSwapRateDerivative(TimeDiscretizationInterface, DiscountCurveInterface, ForwardCurveInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation
 
getSwapRates() - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getSwapRates() - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
 
getSwaprates() - Method in class net.finmath.montecarlo.interestrate.products.Swaption
 
getSwaptionMarketData() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
Return the swaption market data used for calibration (if any, may be null).
getSwaptionMarketData() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Return the swaption market data used for calibration (if any, may be null).
getSymbol() - Method in class net.finmath.marketdata.calibration.CalibratedCurves.CalibrationSpec
 
getSzenarios(double[]) - Method in class net.finmath.timeseries.models.parametric.ARMAGARCH
 
getSzenarios(double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH
 
getSzenarios(double, double, double, double) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGARCH
 
getSzenarios(double[]) - Method in class net.finmath.timeseries.models.parametric.DisplacedLognormalGJRGARCH
 
getSzenarios(double, double, double) - Method in class net.finmath.timeseries.models.parametric.GARCH
 
getSzenarios(int) - Method in class net.finmath.timeseries.models.parametric.SimpleHistroricalSimulation
 
getTangents(Set<Long>) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getTangents(Set<Long>) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getTangents() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getTangents() - Method in interface net.finmath.montecarlo.automaticdifferentiation.RandomVariableDifferentiableInterface
Returns the tangents of this random variable with respect to all its dependent nodes.
getTangents(Set<Long>) - Method in interface net.finmath.montecarlo.automaticdifferentiation.RandomVariableDifferentiableInterface
Returns the tangents of this random variable with respect to the given dependent node IDs (if dependent).
getTenor() - Method in interface net.finmath.marketdata.model.volatilities.AbstractSwaptionMarketData
 
getTenor() - Method in class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
getTheta() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getTickSize() - Method in class net.finmath.time.TimeDiscretization
 
getTickSize() - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the smallest time span distinguishable in this time discretization.
getTime(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getTime(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getTime(int) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getTime(int) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getTime(int) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getTime(int) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getTime(int) - Method in class net.finmath.montecarlo.model.AbstractModel
Return the simulation time for a given time index.
getTime(int) - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
Returns the time for a given time index.
getTime(int) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getTime(int) - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
 
getTime(int) - Method in interface net.finmath.montecarlo.process.ProcessInterface
 
getTime(int) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
Returns the time for a given simulation time index.
getTime(int) - Method in class net.finmath.time.TimeDiscretization
 
getTime(int) - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the time for the given time index.
getTime(int) - Method in class net.finmath.timeseries.TimeSeries
 
getTime(int) - Method in interface net.finmath.timeseries.TimeSeriesInterface
 
getTime(int) - Method in class net.finmath.timeseries.TimeSeriesView
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.BrownianBridge
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.BrownianMotion
 
getTimeDiscretization() - Method in interface net.finmath.montecarlo.BrownianMotionInterface
Returns the time discretization used for this set of time-discrete Brownian increments.
getTimeDiscretization() - Method in class net.finmath.montecarlo.BrownianMotionView
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.CorrelatedBrownianMotion
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.GammaProcess
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.IndependentIncrements
 
getTimeDiscretization() - Method in interface net.finmath.montecarlo.IndependentIncrementsInterface
Returns the time discretization used for this set of time-discrete Brownian increments.
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModel
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModel
The simulation time discretization associated with this model.
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModel
 
getTimeDiscretization() - Method in interface net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolailityModelInterface
Returns the time discretization \( \{ t_{i} \} \) associated with the piecewise constant functions.
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModel
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModelHoLee
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.model.AbstractModel
Get the time discretization of the model (simulation time).
getTimeDiscretization() - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Returns the time discretization of the model parameters.
getTimeDiscretization() - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
Returns the timeDiscretization.
getTimeDiscretization() - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
 
getTimeDiscretization() - Method in interface net.finmath.montecarlo.process.ProcessInterface
 
getTimeDiscretization() - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
getTimeIndex(double) - Method in class net.finmath.analytic.model.curves.Curve
 
getTimeIndex(double) - Method in class net.finmath.marketdata.model.curves.Curve
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.model.AbstractModel
Return the time index associated for the given simulation time.
getTimeIndex(double) - Method in interface net.finmath.montecarlo.MonteCarloSimulationInterface
Returns the time index for a given time.
getTimeIndex(double) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
getTimeIndex(double) - Method in class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
 
getTimeIndex(double) - Method in interface net.finmath.montecarlo.process.ProcessInterface
Returns the time index for a given simulation time.
getTimeIndex(double) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
Returns the time index for a given simulation time.
getTimeIndex(double) - Method in class net.finmath.time.TimeDiscretization
 
getTimeIndex(double) - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the time index for the given time.
getTimeIndexNearestGreaterOrEqual(double) - Method in class net.finmath.time.TimeDiscretization
 
getTimeIndexNearestGreaterOrEqual(double) - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the time index for the time in the time discretization which is the nearest to the given time, being greater or equal (i.e. min(i : timeDiscretization[i] ≥ time where timeDiscretization[i] ≤ timeDiscretization[j]).
getTimeIndexNearestLessOrEqual(double) - Method in class net.finmath.time.TimeDiscretization
 
getTimeIndexNearestLessOrEqual(double) - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the time index for the time in the time discretization which is the nearest to the given time, being less or equal (i.e. max(i : timeDiscretization[i] ≤ time where timeDiscretization[i] ≤ timeDiscretization[j]).
getTimeScaling() - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
getTimeShiftedTimeDiscretization(double) - Method in class net.finmath.time.TimeDiscretization
 
getTimeShiftedTimeDiscretization(double) - Method in interface net.finmath.time.TimeDiscretizationInterface
Return a new time discretization where all time points have been shifted by a given time shift.
getTimeStep(int) - Method in class net.finmath.time.TimeDiscretization
 
getTimeStep(int) - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the time step from the given time index to the next one.
getType() - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getTypePriority() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getTypePriority() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getTypePriority() - Method in class net.finmath.montecarlo.RandomVariable
 
getTypePriority() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getTypePriority() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getTypePriority() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the type priority.
getTypePriority() - Method in class net.finmath.stochastic.Scalar
 
getUnderlyingName() - Method in class net.finmath.modelling.descriptor.SingleAssetEuropeanOptionProductDescriptor
 
getUpperBound() - Method in class net.finmath.integration.AbstractRealIntegral
Get the upper integration bound.
getValue(double) - Method in class net.finmath.analytic.interpolation.RationalFunctionInterpolation
Get an interpolated value for a given argument x.
getValue(double) - Method in class net.finmath.analytic.model.curves.AbstractCurve
 
getValue(double) - Method in class net.finmath.analytic.model.curves.Curve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.analytic.model.curves.Curve
 
getValue(double) - Method in interface net.finmath.analytic.model.curves.CurveInterface
Returns the value for the time using the interpolation method associated with this curve.
getValue(AnalyticModelInterface, double) - Method in interface net.finmath.analytic.model.curves.CurveInterface
Returns the value for the time using the interpolation method associated with this curve within a given context, i.e., a model.
getValue(AnalyticModelInterface, double) - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
getValue(double) - Method in class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
 
getValue(double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in interface net.finmath.analytic.model.volatilities.VolatilitySurfaceInterface
Returns the price or implied volatility for the corresponding maturity and strike.
getValue(AnalyticModelInterface, double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in interface net.finmath.analytic.model.volatilities.VolatilitySurfaceInterface
Returns the price or implied volatility for the corresponding maturity and strike.
getValue(double, ModelInterface) - Method in class net.finmath.analytic.products.AbstractAnalyticProduct
 
getValue(AnalyticModelInterface) - Method in class net.finmath.analytic.products.AbstractAnalyticProduct
 
getValue(double, AnalyticModelInterface) - Method in interface net.finmath.analytic.products.AnalyticProductInterface
Return the valuation of the product using the given model.
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.Cashflow
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.Deposit
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.Forward
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.ForwardRateAgreement
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.MarketForwardRateAgreement
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.Performance
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.Portfolio
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.Swap
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.SwapAnnuity
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.analytic.products.SwapLeg
 
getValue(double, double, DoubleUnaryOperator, FiniteDifference1DBoundary) - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getValue(double, double, DoubleUnaryOperator, FiniteDifference1DBoundary) - Method in interface net.finmath.finitedifference.models.FiniteDifference1DModel
Return the conditional expectation of the given values at a given time contrained by the given boundary conditions.
getValue(double, FiniteDifference1DModel) - Method in class net.finmath.finitedifference.products.FDMEuropeanCallOption
 
getValue(double, FiniteDifference1DModel) - Method in interface net.finmath.finitedifference.products.FiniteDifference1DProduct
Return the value of the product under the given model.
getValue(double, ModelInterface) - Method in interface net.finmath.finitedifference.products.FiniteDifference1DProduct
 
getValue(double, double, DoubleUnaryOperator) - Method in class net.finmath.finitedifference.solvers.FDMThetaMethod
 
getValue(double, ModelInterface) - Method in class net.finmath.fouriermethod.products.AbstractProductFourierTransform
 
getValue(ProcessCharacteristicFunctionInterface) - Method in class net.finmath.fouriermethod.products.AbstractProductFourierTransform
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double) - Method in class net.finmath.interpolation.RationalFunctionInterpolation
Get an interpolated value for a given argument x.
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
 
getValue(double) - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.bond.BondCurve
 
getValue(double) - Method in class net.finmath.marketdata.model.curves.AbstractCurve
 
getValue(double) - Method in class net.finmath.marketdata.model.curves.Curve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.Curve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.CurveFromProductOfCurves
 
getValue(double) - Method in interface net.finmath.marketdata.model.curves.CurveInterface
Returns the value for the time using the interpolation method associated with this curve.
getValue(AnalyticModelInterface, double) - Method in interface net.finmath.marketdata.model.curves.CurveInterface
Returns the value for the time using the interpolation method associated with this curve within a given context, i.e., a model.
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromProductOfCurves
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
getValue(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
getValue(double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.IndexCurveFromDiscountCurve
 
getValue(double) - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
getValue(AnalyticModelInterface, double) - Method in class net.finmath.marketdata.model.curves.SeasonalCurve
 
getValue(double, double, double, double) - Method in interface net.finmath.marketdata.model.volatilities.AbstractSwaptionMarketData
Returns the option price of a swaption for a given option maturity and tenor length.
getValue(double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilities
 
getValue(AnalyticModelInterface, double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilities
 
getValue(double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
 
getValue(AnalyticModelInterface, double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
 
getValue(double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricDisplacedFourParameterAnalytic
 
getValue(AnalyticModelInterface, double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricDisplacedFourParameterAnalytic
 
getValue(double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricFourParameterPicewiseConstant
 
getValue(AnalyticModelInterface, double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricFourParameterPicewiseConstant
 
getValue(double, double, double, double) - Method in class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
getValue(double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in interface net.finmath.marketdata.model.volatilities.VolatilitySurfaceInterface
Returns the price or implied volatility for the corresponding maturity and strike.
getValue(AnalyticModelInterface, double, double, VolatilitySurfaceInterface.QuotingConvention) - Method in interface net.finmath.marketdata.model.volatilities.VolatilitySurfaceInterface
Returns the price or implied volatility for the corresponding maturity and strike.
getValue(double, ModelInterface) - Method in class net.finmath.marketdata.products.AbstractAnalyticProduct
 
getValue(AnalyticModelInterface) - Method in class net.finmath.marketdata.products.AbstractAnalyticProduct
 
getValue(double, AnalyticModelInterface) - Method in interface net.finmath.marketdata.products.AnalyticProductInterface
Return the valuation of the product using the given model.
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Cap
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Cashflow
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Deposit
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Forward
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.ForwardRateAgreement
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.MarketForwardRateAgreement
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Performance
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Portfolio
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Swap
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.SwapAnnuity
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.SwapLeg
 
getValue(double, ModelInterface) - Method in interface net.finmath.modelling.ProductInterface
Return the valuation of the product using the given model.
getValue(double, ModelInterface) - Method in class net.finmath.modelling.UnsupportedProduct
 
getValue(double, AnalyticModelInterface) - Method in class net.finmath.modelling.UnsupportedProduct
 
getValue(double, ModelInterface) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
 
getValue(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value of the product under the specified model.
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.AbstractAssetMonteCarloProduct
 
getValue(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.AbstractAssetMonteCarloProduct
 
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.AsianOption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BasketOption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BermudanDigitalOption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BlackScholesDeltaHedgedPortfolio
 
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.BlackScholesHedgedPortfolio
 
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.DeltaHedgedPortfolioWithAAD
 
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.DigitalOption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.EuropeanOption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.FiniteDifferenceDeltaHedgedPortfolio
 
getValue(double, AssetModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.LocalRiskMinimizingHedgePortfolio
 
getValue(double, ModelInterface) - Method in class net.finmath.montecarlo.hybridassetinterestrate.products.WorstOfExpressCertificate
 
getValue(double, HybridAssetLIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.hybridassetinterestrate.products.WorstOfExpressCertificate
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.AbstractLIBORMonteCarloProduct
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.AbstractLIBORMonteCarloProduct
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.Bond
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.CancelableSwap
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.Caplet
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.CMSOption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(ForwardCurveInterface, double) - Method in class net.finmath.montecarlo.interestrate.products.CMSOption
This method returns the value of the product using a Black-Scholes model for the swap rate with the Hunt-Kennedy convexity adjustment.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.AccrualAccount
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Cashflow
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.ExposureEstimator
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.IndexedValue
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Numeraire
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Option
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Period
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.ProductCollection
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.Selector
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.DigitalCaplet
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.DigitalFloorlet
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.FlexiCap
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.ForwardRateVolatilitySurfaceCurvature
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.AbstractIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.AccruedInterest
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelForwardCurveIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.CappedFlooredIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.DateIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.FixedCoupon
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.ForwardCurveIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.LaggedIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.LIBORIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.MaxIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.MinIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.PerformanceIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.PowIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.ProductIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.TimeDiscreteEndOfMonthIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.TriggerIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.indices.UnsupportedIndex
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.MoneyMarketAccount
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.Portfolio
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SimpleCappedFlooredFloatingRateBond
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SimpleZeroSwap
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.Swap
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwapLeg
 
getValue(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaprateCovarianceAnalyticApproximation
 
getValue(double, LIBORMarketModel) - Method in class net.finmath.montecarlo.interestrate.products.SwaprateCovarianceAnalyticApproximation
Calculates the approximated integrated instantaneous covariance of two swap rates, using the approximation d log(S(t))/d log(L(t)) = d log(S(0))/d log(L(0)).
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.Swaption
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(ForwardCurveInterface, double) - Method in class net.finmath.montecarlo.interestrate.products.Swaption
This method returns the value of the product using a Black-Scholes model for the swap rate The model is determined by a discount factor curve and a swap rate volatility.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionATM
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionSimple
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurve
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(ForwardCurveInterface, double) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurve
This method returns the value of the product using a Black-Scholes model for the swap rate The model is determined by a discount factor curve and a swap rate volatility.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation
 
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionWithComponents
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwapWithComponents
This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime.
getValue(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.products.PortfolioMonteCarloProduct
 
getValue() - Method in class net.finmath.swing.JNumberField
 
getValue(String) - Method in class net.finmath.timeseries.MarketData
 
getValue(int) - Method in class net.finmath.timeseries.TimeSeries
 
getValue(int) - Method in interface net.finmath.timeseries.TimeSeriesInterface
 
getValue(int) - Method in class net.finmath.timeseries.TimeSeriesView
 
getValueAsPrice(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.products.Cap
Returns the value of this product under the given model.
getValueAtLowerBoundary(FiniteDifference1DModel, double, double) - Method in interface net.finmath.finitedifference.models.FiniteDifference1DBoundary
Return the value of the value process at the lower boundary for a given time and asset value.
getValueAtLowerBoundary(FiniteDifference1DModel, double, double) - Method in class net.finmath.finitedifference.products.FDMEuropeanCallOption
 
getValueAtUpperBoundary(FiniteDifference1DModel, double, double) - Method in interface net.finmath.finitedifference.models.FiniteDifference1DBoundary
Return the value of the value process at the upper boundary for a given time and asset value.
getValueAtUpperBoundary(FiniteDifference1DModel, double, double) - Method in class net.finmath.finitedifference.products.FDMEuropeanCallOption
 
getValueForModifiedData(double, MonteCarloSimulationInterface, Map<String, Object>) - Method in class net.finmath.montecarlo.interestrate.products.AbstractLIBORMonteCarloProduct
 
getValues(double[]) - Method in class net.finmath.analytic.model.curves.AbstractCurve
Return a vector of values corresponding to a given vector of times.
getValues(double, ModelInterface) - Method in class net.finmath.fouriermethod.products.AbstractProductFourierTransform
 
getValues(double[]) - Method in class net.finmath.marketdata.model.curves.AbstractCurve
Return a vector of values corresponding to a given vector of times.
getValues(double, ModelInterface) - Method in interface net.finmath.modelling.ProductInterface
Return the valuation of the product using the given model.
getValues(double, ModelInterface) - Method in class net.finmath.modelling.UnsupportedProduct
 
getValues(double, ModelInterface) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
 
getValues(double, MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value of the product under the specified model and other information in a key-value map.
getValues(MonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value of the product under the specified model and other information in a key-value map.
getValues(double, ModelInterface) - Method in class net.finmath.montecarlo.assetderivativevaluation.products.EuropeanOption
 
getValues() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
Returns the underlying values.
getValues() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
Returns the underlying values.
getValues(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.AbstractLIBORMonteCarloProduct
This method returns the valuation of the product within the specified model, evaluated at a given evalutationTime.
getValues(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.BermudanSwaption
 
getValues(double, LIBORModelMonteCarloSimulationInterface) - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractProductComponent
 
getValues(double, LIBORMarketModelInterface) - Method in class net.finmath.montecarlo.interestrate.products.ForwardRateVolatilitySurfaceCurvature
Calculates the squared curvature of the LIBOR instantaneous variance.
getValues(double, LIBORMarketModelInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation
Calculates the approximated integrated instantaneous variance of the swap rate, using the approximation d log(S(t))/d log(L(t)) = d log(S(0))/d log(L(0)).
getValues(double, LIBORMarketModelInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato
Calculates the approximated integrated instantaneous variance of the swap rate, using the approximation d log(S(t))/d log(L(t)) = d log(S(0))/d log(L(0)).
getValues(double, LIBORMarketModelInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation
Calculates the approximated integrated instantaneous variance of the swap rate, using the approximation d S/d L (t) = d S/d L (0).
getValues(double, LIBORMarketModelInterface) - Method in class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation
Calculates the approximated integrated instantaneous variance of the swap rate, using the approximation d log(S(t))/d log(L(t)) = d log(S(0))/d log(L(0)).
getValues() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the underlying values and a random variable.
getValues() - Method in class net.finmath.timeseries.TimeSeries
 
getValues() - Method in interface net.finmath.timeseries.TimeSeriesInterface
 
getValues() - Method in class net.finmath.timeseries.TimeSeriesView
 
getValuesForModifiedData(double, MonteCarloSimulationInterface, Map<String, Object>) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value under shifted market data (or model parameters).
getValuesForModifiedData(double, MonteCarloSimulationInterface, String, Object) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value under shifted market data (or model parameters).
getValuesForModifiedData(MonteCarloSimulationInterface, Map<String, Object>) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value under shifted market data (or model parameters).
getValuesForModifiedData(MonteCarloSimulationInterface, String, Object) - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
This method returns the value under shifted market data (or model parameters).
getValueWithGivenSpreadOverCurve(double, CurveInterface, double, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
Returns the value of the sum of discounted cash flows of the bond where the discounting is done with the given reference curve and an additional spread.
getValueWithGivenYield(double, double, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
Returns the value of the sum of discounted cash flows of the bond where the discounting is done with the given yield curve.
getVariance() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getVariance(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getVariance() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getVariance(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getVariance() - Method in class net.finmath.montecarlo.RandomVariable
 
getVariance(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
getVariance() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getVariance(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
getVariance() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getVariance(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
getVariance() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the variance of this random variable, i.e., V where V = ((X-m)^2).getAverage() and X = this and m = X.getAverage().
getVariance(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the variance of this random variable, i.e., V where V = ((X-m)^2).getAverage(probabilities) and X = this and m = X.getAverage(probabilities).
getVariance() - Method in class net.finmath.stochastic.Scalar
 
getVariance(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
getVarianceAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
getVarianceAsRandomVariableAAD() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
getVersionString() - Static method in class net.finmath.information.Library
Return the version string of this instance of finmath-lib.
getVolatilities() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
Returns the volatility parameters of this model.
getVolatility() - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
getVolatility() - Method in interface net.finmath.finitedifference.models.FiniteDifference1DModel
 
getVolatility(double, double, double, double) - Method in interface net.finmath.marketdata.model.volatilities.AbstractSwaptionMarketData
Returns the option implied volatility of a swaption for a given option maturity and tenor length.
getVolatility(double, double) - Method in class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
getVolatility(double, double, double, double) - Method in class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
getVolatility() - Method in class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
getVolatility() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
Returns the volatility parameter of this model.
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
Returns the volatility parameter of this model.
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
Returns the volatility parameter of this model.
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
Returns the volatility parameter of this model.
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Returns the volatility parameter of this model.
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
Returns the volatility parameter of this model.
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
Returns the volatility parameter of this model.
getVolatility() - Method in class net.finmath.montecarlo.assetderivativevaluation.MertonModel
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModel
Implement this method to complete the implementation.
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFourParameterExponentialForm
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFromGivenMatrix
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelPiecewiseConstant
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModel
Implement this method to complete the implementation.
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialForm
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialFormIntegrated
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFromGivenMatrix
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelMaturityDependentFourParameterExponentialForm
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTimeHomogenousPiecewiseConstant
 
getVolatility(int, int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTwoParameterExponentialForm
 
getVolatility(int) - Method in interface net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolailityModelInterface
Returns the value of \( \sigma(t) \) for \( t_{i} \leq t < t_{i+1} \).
getVolatility(int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModel
 
getVolatility(int) - Method in class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModelHoLee
 
getVolatility() - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
Returns the volatility.
getVolatilityModel() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getVolatilityModel() - Method in class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
getVolatilitySurface(String) - Method in class net.finmath.analytic.model.AnalyticModel
 
getVolatilitySurface(String) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
 
getVolatilitySurface(String) - Method in class net.finmath.marketdata.model.AnalyticModel
 
getVolatilitySurface(String) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
 
getWeight() - Method in class net.finmath.marketdata.model.curves.locallinearregression.Partition
 
getWeights() - Method in class net.finmath.analytic.products.Portfolio
Returns the list of weights as an unmodifiable list.
getWeights() - Method in class net.finmath.marketdata.products.Portfolio
Returns the list of weights as an unmodifiable list.
getWeights() - Method in class net.finmath.montecarlo.interestrate.products.Portfolio
 
getXi() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
getYield(double, AnalyticModelInterface) - Method in class net.finmath.marketdata.model.bond.Bond
Returns the yield value such that the sum of cash flows of the bond discounted with the yield curve coincides with a given price.
getZeroRate(double) - Method in class net.finmath.analytic.model.curves.DiscountCurve
Returns the zero rate for a given maturity, i.e., -ln(df(T)) / T where T is the given maturity and df(T) is the discount factor at time $T$.
getZeroRate(double) - Method in class net.finmath.marketdata.model.bond.BondCurve
Returns the zero rate for a given maturity, i.e., -ln(df(T)) / T where T is the given maturity and df(T) is the discount factor at time $T$.
getZeroRate(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurve
Returns the zero rate for a given maturity, i.e., -ln(df(T)) / T where T is the given maturity and df(T) is the discount factor at time $T$.
getZeroRate(double) - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
Returns the zero rate for a given maturity, i.e., -ln(df(T)) / T where T is the given maturity and df(T) is the discount factor at time $T$.
getZeroRates(double[]) - Method in class net.finmath.analytic.model.curves.DiscountCurve
Returns the zero rates for a given vector maturities.
getZeroRates(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurve
Returns the zero rates for a given vector maturities.
getZeroRates(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
Returns the zero rates for a given vector maturities.
GoldenSectionSearch - Class in net.finmath.optimizer
This class implements a Golden Section search algorithm, i.e., a minimization, implemented as a question-and-answer search algorithm.
GoldenSectionSearch(double, double) - Constructor for class net.finmath.optimizer.GoldenSectionSearch
 

H

HaltonSequence - Class in net.finmath.randomnumbers
Implements a multi-dimensional Halton sequence (quasi random numbers) with the given bases.
HaltonSequence(int[]) - Constructor for class net.finmath.randomnumbers.HaltonSequence
Constructs a Halton sequence with the given bases.
hashCode() - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
hashCode() - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
hashCode() - Method in class net.finmath.montecarlo.BrownianMotion
 
hashCode() - Method in class net.finmath.montecarlo.GammaProcess
 
hashCode() - Method in class net.finmath.montecarlo.IndependentIncrements
 
hashCode() - Method in class net.finmath.time.Period
 
hashCode() - Method in class net.finmath.time.TimeDiscretization
 
HestonModel - Class in net.finmath.fouriermethod.models
Implements the characteristic function of a Heston model.
HestonModel(HestonModelDescriptor) - Constructor for class net.finmath.fouriermethod.models.HestonModel
Create a model from a model desciptor.
HestonModel(LocalDate, double, DiscountCurveInterface, double, DiscountCurveInterface, double, double, double, double) - Constructor for class net.finmath.fouriermethod.models.HestonModel
Create a Heston model (characteristic function)
HestonModel(double, DiscountCurveInterface, double, DiscountCurveInterface, double, double, double, double) - Constructor for class net.finmath.fouriermethod.models.HestonModel
Create a Heston model (characteristic function)
HestonModel(double, double, double, double, double, double, double, double) - Constructor for class net.finmath.fouriermethod.models.HestonModel
Create a Heston model (characteristic function)
HestonModel(double, double, double, double, double, double, double) - Constructor for class net.finmath.fouriermethod.models.HestonModel
 
HestonModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements a Heston Model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
HestonModel(HestonModelDescriptor, HestonModel.Scheme, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Create the model from a descriptor.
HestonModel(RandomVariableInterface, DiscountCurveInterface, RandomVariableInterface, DiscountCurveInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, HestonModel.Scheme, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Create a Heston model.
HestonModel(RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, HestonModel.Scheme, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Create a Heston model.
HestonModel(double, double, double, double, double, double, double, double, HestonModel.Scheme, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Create a Heston model.
HestonModel(double, double, double, double, double, double, double, double, HestonModel.Scheme) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Create a Heston model.
HestonModel(double, double, double, double, double, double, double, HestonModel.Scheme) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.HestonModel
Create a Heston model.
HestonModel.Scheme - Enum in net.finmath.montecarlo.assetderivativevaluation
Truncation schemes to be used in the calculation of drift and diffusion coefficients.
HestonModelDescriptor - Class in net.finmath.modelling.descriptor
 
HestonModelDescriptor(LocalDate, Double, DiscountCurveInterface, DiscountCurveInterface, Double, Double, Double, Double, Double) - Constructor for class net.finmath.modelling.descriptor.HestonModelDescriptor
 
HestonModelFourierFactory - Class in net.finmath.modelling.modelfactory
 
HestonModelFourierFactory() - Constructor for class net.finmath.modelling.modelfactory.HestonModelFourierFactory
Create factory.
HestonModelMonteCarloFactory - Class in net.finmath.modelling.descriptor
 
HestonModelMonteCarloFactory(HestonModel.Scheme, AbstractRandomVariableFactory, IndependentIncrementsInterface) - Constructor for class net.finmath.modelling.descriptor.HestonModelMonteCarloFactory
 
HestonModelMonteCarloFactory - Class in net.finmath.modelling.modelfactory
 
HestonModelMonteCarloFactory(HestonModel.Scheme, AbstractRandomVariableFactory, IndependentIncrementsInterface) - Constructor for class net.finmath.modelling.modelfactory.HestonModelMonteCarloFactory
 
HistoricalSimulationModel - Interface in net.finmath.timeseries
A parametric time series model based on a given times series.
HullWhiteLocalVolatilityModel - Class in net.finmath.montecarlo.interestrate.modelplugins
Special variant of a blended model (or displaced diffusion model) build on top of a standard covariance model using the special function corresponding to the Hull-White local volatility.
HullWhiteLocalVolatilityModel(AbstractLIBORCovarianceModelParametric, double) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.HullWhiteLocalVolatilityModel
The model constructed for the i-th factor loading is (1+Li(t) d) Fi(t) where d is a constant (the period length), Li is the realization of the i-th component of the stochastic process and Fi is the factor loading from the given covariance model.
HullWhiteModel - Class in net.finmath.montecarlo.interestrate
Implements a Hull-White model with time dependent mean reversion speed and time dependent short rate volatility.
HullWhiteModel(TimeDiscretizationInterface, AnalyticModelInterface, ForwardCurveInterface, DiscountCurveInterface, ShortRateVolailityModelInterface, Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.HullWhiteModel
Creates a Hull-White model which implements LIBORMarketModelInterface.
HullWhiteModelDescriptor - Class in net.finmath.modelling.descriptor
A descriptor describing the Hull-White model.
HullWhiteModelDescriptor(TimeDiscretizationInterface, String, AnalyticModelInterface, ForwardCurveInterface, DiscountCurveInterface, DiscountCurveInterface, ShortRateVolailityModelInterface) - Constructor for class net.finmath.modelling.descriptor.HullWhiteModelDescriptor
 
HullWhiteModelWithConstantCoeff - Class in net.finmath.montecarlo.interestrate
Implements a Hull-White model with constant coefficients.
HullWhiteModelWithConstantCoeff(TimeDiscretizationInterface, AnalyticModelInterface, ForwardCurveInterface, DiscountCurveInterface, double, double, Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.HullWhiteModelWithConstantCoeff
Creates a Hull-White model which implements LIBORMarketModelInterface.
HullWhiteModelWithDirectSimulation - Class in net.finmath.montecarlo.interestrate
Implements a Hull-White model with time dependent mean reversion speed and time dependent short rate volatility.
HullWhiteModelWithDirectSimulation(TimeDiscretizationInterface, AnalyticModelInterface, ForwardCurveInterface, DiscountCurveInterface, ShortRateVolailityModelInterface, Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.HullWhiteModelWithDirectSimulation
Creates a Hull-White model which implements LIBORMarketModelInterface.
HullWhiteModelWithShiftExtension - Class in net.finmath.montecarlo.interestrate
Implements a Hull-White model with time dependent mean reversion speed and time dependent short rate volatility.
HullWhiteModelWithShiftExtension(TimeDiscretizationInterface, AnalyticModelInterface, ForwardCurveInterface, DiscountCurveInterface, ShortRateVolailityModelInterface, Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.HullWhiteModelWithShiftExtension
Creates a Hull-White model which implements LIBORMarketModelInterface.
HullWhiteMonteCarloFactory - Class in net.finmath.modelling.modelfactory
A factory to instantiate a Monte-Carlo implementaiton of the Hull White model model from a given descriptor.
HullWhiteMonteCarloFactory() - Constructor for class net.finmath.modelling.modelfactory.HullWhiteMonteCarloFactory
 
huntKennedyCMSAdjustedRate(double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculate the adjusted forward swaprate corresponding to a change of payoff unit from the given swapAnnuity to the given payoffUnit using the Black-Scholes model for the swap rate together with the Hunt-Kennedy convexity adjustment.
huntKennedyCMSFloorValue(double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculate the value of a CMS strike using the Black-Scholes model for the swap rate together with the Hunt-Kennedy convexity adjustment.
huntKennedyCMSOptionValue(double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculate the value of a CMS option using the Black-Scholes model for the swap rate together with the Hunt-Kennedy convexity adjustment.
HybridAssetLIBORModelMonteCarloSimulation - Class in net.finmath.montecarlo.hybridassetinterestrate
An Equity Hybrid LIBOR Market Model composed of an object implementing LIBORModelMonteCarloSimulationInterface providing the interest rate simulation and the numeraire and an object implementing AssetModelMonteCarloSimulationInterface providing the asset simulation.
HybridAssetLIBORModelMonteCarloSimulation(LIBORModelMonteCarloSimulationInterface, AssetModelMonteCarloSimulationInterface, DiscountCurveInterface) - Constructor for class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
Create an Equity Hybrid LIBOR Market Model composed of an object implementing LIBORModelMonteCarloSimulationInterface providing the interest rate simulation and the numeraire and an object implementing AssetModelMonteCarloSimulationInterface providing the asset simulation.
HybridAssetLIBORModelMonteCarloSimulation(LIBORModelMonteCarloSimulationInterface, AssetModelMonteCarloSimulationInterface) - Constructor for class net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulation
 
HybridAssetLIBORModelMonteCarloSimulationInterface - Interface in net.finmath.montecarlo.hybridassetinterestrate
 

I

IndependentIncrements - Class in net.finmath.montecarlo
Implementation of a time-discrete n-dimensional sequence of independent increments W = (W1,...
IndependentIncrements(TimeDiscretizationInterface, int, int, int, IntFunction<IntFunction<DoubleUnaryOperator>>, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.IndependentIncrements
Construct the simulation of independent increments.
IndependentIncrements(TimeDiscretizationInterface, int, int, int, IntFunction<IntFunction<DoubleUnaryOperator>>) - Constructor for class net.finmath.montecarlo.IndependentIncrements
Construct the simulation of independet increments.
IndependentIncrementsInterface - Interface in net.finmath.montecarlo
Interface description of a time-discrete n-dimensional stochastic process \( X = (X_{1},\ldots,X_{n}) \) provided by independent increments \( \Delta X(t_{i}) = X(t_{i+1})-X(t_{i}) \).
IndexCurveFromDiscountCurve - Class in net.finmath.marketdata.model.curves
An index curve there the value at time t is given by indexValue / discountCurve.getValue(t).
IndexCurveFromDiscountCurve(String, double, DiscountCurveInterface) - Constructor for class net.finmath.marketdata.model.curves.IndexCurveFromDiscountCurve
 
IndexedValue - Class in net.finmath.montecarlo.interestrate.products.components
An indexed value.
IndexedValue(double, AbstractProductComponent, AbstractProductComponent) - Constructor for class net.finmath.montecarlo.interestrate.products.components.IndexedValue
Creates the function J(t) V(t), where J(t) = E(I(t)|F_t) for the given I(t).
InhomogeneousDisplacedLognomalModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements an inhomogeneous displaced log-normal model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
InhomogeneousDisplacedLognomalModel(double, double, double, double, boolean) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
Create a blended normal/lognormal model.
InhomogeneousDisplacedLognomalModel(double, double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
Create a blended normal/lognormal model.
InhomogenousBachelierModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements a (variant of the) Bachelier model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
InhomogenousBachelierModel(double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
Create a Monte-Carlo simulation using given time discretization.
integrate(DoubleUnaryOperator) - Method in class net.finmath.integration.AbstractRealIntegral
 
integrate(DoubleUnaryOperator) - Method in class net.finmath.integration.MonteCarloIntegrator
 
integrate(DoubleUnaryOperator) - Method in interface net.finmath.integration.RealIntegralInterface
 
integrate(DoubleUnaryOperator) - Method in class net.finmath.integration.RombergRealIntegration
 
integrate(DoubleUnaryOperator) - Method in class net.finmath.integration.SimpsonRealIntegrator
 
integrate(DoubleUnaryOperator) - Method in class net.finmath.integration.TrapezoidalRealIntegrator
 
InterestRateModelDescriptor - Interface in net.finmath.modelling.descriptor
Marker interface for descriptors describing an interest rate model.
InterestRateMonteCarloProductFactory - Class in net.finmath.modelling.productfactory
 
InterestRateMonteCarloProductFactory() - Constructor for class net.finmath.modelling.productfactory.InterestRateMonteCarloProductFactory
 
InterestRateProductDescriptor - Interface in net.finmath.modelling
Marker interface for interest rate product descriptors.
InterestRateSwapLegProductDescriptor - Class in net.finmath.modelling.descriptor
Describes an interest rate swap.
InterestRateSwapLegProductDescriptor(ScheduleInterface, AbstractNotional, AbstractIndex, double, boolean, boolean, boolean) - Constructor for class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
intersect(TimeDiscretizationInterface) - Method in class net.finmath.time.TimeDiscretization
 
intersect(TimeDiscretizationInterface) - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the intersection of this time discretization with another one.
inverseCumulativeDistribution(double) - Method in class net.finmath.functions.GammaDistribution
Return the inverse cumulative distribution function at x.
inverseCumulativeDistribution(double) - Static method in class net.finmath.functions.NormalDistribution
Inverse of the cumulative distribution function of the standard normal distribution using Jakarta commons-math
inverseCumulativeDistribution(double) - Method in class net.finmath.functions.PoissonDistribution
Return the inverse cumulative distribution function at x.
inverseCumulativeNormalDistributionWichura(double) - Static method in class net.finmath.functions.NormalDistribution
Inverse of the cumulative distribution function of the standard normal distribution Java Version of Michael J.
invert(double[][]) - Static method in class net.finmath.functions.LinearAlgebra
Returns the inverse of a given matrix.
invert() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
invert() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
invert() - Method in class net.finmath.montecarlo.RandomVariable
 
invert() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
invert() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
invert() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → 1/x to this random variable.
invert() - Method in class net.finmath.stochastic.Scalar
 
isBusinessday(LocalDate) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarAny
 
isBusinessday(LocalDate) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenHolidays
 
isBusinessday(LocalDate) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingTARGETHolidays
 
isBusinessday(LocalDate) - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingWeekends
 
isBusinessday(LocalDate) - Method in interface net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface
Test if a given date is a businessday.
isCancelled() - Method in class net.finmath.concurrency.FutureWrapper
 
isCouponFlow() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
isDeterministic() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
isDeterministic() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
isDeterministic() - Method in class net.finmath.montecarlo.RandomVariable
 
isDeterministic() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
isDeterministic() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
isDeterministic() - Method in interface net.finmath.stochastic.RandomVariableInterface
Check if this random variable is deterministic in the sense that it is represented by a single double value.
isDeterministic() - Method in class net.finmath.stochastic.Scalar
 
isDone() - Method in class net.finmath.concurrency.FutureWrapper
 
isDone() - Method in class net.finmath.optimizer.GoldenSectionSearch
 
isEasterSunday(LocalDate) - Static method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingTARGETHolidays
Test a given date for being easter sunday.
isExcludingWeekends() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenHolidays
 
isGradientRetainsLeafNodesOnly() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory
 
isNaN() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
isNaN() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
isNaN() - Method in class net.finmath.montecarlo.RandomVariable
 
isNaN() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
isNaN() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
isNaN() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → (Double.isNaN(x) ?
isNaN() - Method in class net.finmath.stochastic.Scalar
 
isNotionalAccruing() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
isNotionalExchanged() - Method in class net.finmath.analytic.products.SwapLeg
 
isNotionalExchanged() - Method in class net.finmath.marketdata.products.SwapLeg
 
isNotionalExchanged() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
iterator() - Method in class net.finmath.time.RegularSchedule
 
iterator() - Method in class net.finmath.time.Schedule
 
iterator() - Method in class net.finmath.time.TimeDiscretization
 

J

JarqueBeraTest - Class in net.finmath.functions
Class providing the test statistic of the Jarque-Bera test.
JarqueBeraTest() - Constructor for class net.finmath.functions.JarqueBeraTest
Create an instance of the Jarque-Bera test.
JNumberField - Class in net.finmath.swing
A Java swing bean to represent a number field in a GUI.
JNumberField() - Constructor for class net.finmath.swing.JNumberField
 
JNumberField(double, String, ActionListener) - Constructor for class net.finmath.swing.JNumberField
 
JNumberField(double, DecimalFormat, ActionListener) - Constructor for class net.finmath.swing.JNumberField
 
JNumberField(String) - Constructor for class net.finmath.swing.JNumberField
 
JumpProcessIncrements - Class in net.finmath.montecarlo
Implementation of a time-discrete n-dimensional jump process J = (J1,...
JumpProcessIncrements(TimeDiscretizationInterface, double[], int, int, AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.JumpProcessIncrements
Construct a jump process.
JumpProcessIncrements(TimeDiscretizationInterface, double[], int, int) - Constructor for class net.finmath.montecarlo.JumpProcessIncrements
Construct a jump process.

L

LaggedIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A time-lagged index paying index(t+fixingOffset)
LaggedIndex(AbstractProductComponent, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.LaggedIndex
Creates a time-lagged index paying index(t+fixingOffset).
LevenbergMarquardt - Class in net.finmath.optimizer
This class implements a parallel Levenberg-Marquardt non-linear least-squares fit algorithm.
LevenbergMarquardt(LevenbergMarquardt.RegularizationMethod, double[], double[], int, ExecutorService) - Constructor for class net.finmath.optimizer.LevenbergMarquardt
Create a Levenberg-Marquardt solver.
LevenbergMarquardt(double[], double[], int, ExecutorService) - Constructor for class net.finmath.optimizer.LevenbergMarquardt
Create a Levenberg-Marquardt solver.
LevenbergMarquardt(double[], double[], int, int) - Constructor for class net.finmath.optimizer.LevenbergMarquardt
Create a Levenberg-Marquardt solver.
LevenbergMarquardt(List<Number>, List<Number>, int, ExecutorService) - Constructor for class net.finmath.optimizer.LevenbergMarquardt
Create a Levenberg-Marquardt solver.
LevenbergMarquardt(List<Number>, List<Number>, int, int) - Constructor for class net.finmath.optimizer.LevenbergMarquardt
Create a Levenberg-Marquardt solver.
LevenbergMarquardt() - Constructor for class net.finmath.optimizer.LevenbergMarquardt
Create a Levenberg-Marquardt solver.
LevenbergMarquardt(int) - Constructor for class net.finmath.optimizer.LevenbergMarquardt
Create a Levenberg-Marquardt solver.
LevenbergMarquardt.RegularizationMethod - Enum in net.finmath.optimizer
The regularization method used to invert the approximation of the Hessian matrix.
LIBORCorrelationModel - Class in net.finmath.montecarlo.interestrate.modelplugins
Abstract base class and interface description of a correlation model (as it is used in LIBORCovarianceModelFromVolatilityAndCorrelation).
LIBORCorrelationModel(TimeDiscretizationInterface, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModel
 
LIBORCorrelationModelExponentialDecay - Class in net.finmath.montecarlo.interestrate.modelplugins
Simple correlation model given by R, where R is a factor reduced matrix (see LinearAlgebra.factorReduction(double[][], int)) created from the \( n \) Eigenvectors of \( \tilde{R} \) belonging to the \( n \) largest non-negative Eigenvalues, where \( \tilde{R} = \tilde{\rho}_{i,j} \) and \[ \tilde{\rho}_{i,j} = \exp( -\max(a,0) | T_{i}-T_{j} | ) \] For a more general model featuring three parameters see LIBORCorrelationModelThreeParameterExponentialDecay.
LIBORCorrelationModelExponentialDecay(TimeDiscretizationInterface, TimeDiscretizationInterface, int, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
Create a correlation model with an exponentially decaying correlation structure and the given number of factors.
LIBORCorrelationModelExponentialDecay(TimeDiscretizationInterface, TimeDiscretizationInterface, int, double) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelExponentialDecay
 
LIBORCorrelationModelThreeParameterExponentialDecay - Class in net.finmath.montecarlo.interestrate.modelplugins
Simple correlation model given by R, where R is a factor reduced matrix (see LinearAlgebra.factorReduction(double[][], int)) created from the \( n \) Eigenvectors of \( \tilde{R} \) belonging to the \( n \) largest non-negative Eigenvalues, where \( \tilde{R} = \tilde{\rho}_{i,j} \) and \[ \tilde{\rho}_{i,j} = b + (1-b) * \exp(-a |T_{i} - T_{j}| - c \max(T_{i},T_{j}))
LIBORCorrelationModelThreeParameterExponentialDecay(TimeDiscretizationInterface, TimeDiscretizationInterface, int, double, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCorrelationModelThreeParameterExponentialDecay
 
LIBORCovarianceModelCalibrateable - Interface in net.finmath.montecarlo.interestrate.modelplugins
Interface for covariance models which may perform a calibration by providing the corresponding getCloneCalibrated-method.
LIBORCovarianceModelExponentialForm5Param - Class in net.finmath.montecarlo.interestrate.covariancemodels
LIBORCovarianceModelExponentialForm5Param(TimeDiscretizationInterface, TimeDiscretizationInterface, int, RandomVariableInterface[]) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelExponentialForm5Param
 
LIBORCovarianceModelExponentialForm5Param - Class in net.finmath.montecarlo.interestrate.modelplugins
LIBORCovarianceModelExponentialForm5Param(TimeDiscretizationInterface, TimeDiscretizationInterface, int, double[]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param
 
LIBORCovarianceModelExponentialForm5Param(TimeDiscretizationInterface, TimeDiscretizationInterface, int) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param
 
LIBORCovarianceModelExponentialForm7Param - Class in net.finmath.montecarlo.interestrate.modelplugins
 
LIBORCovarianceModelExponentialForm7Param(TimeDiscretizationInterface, TimeDiscretizationInterface, int) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm7Param
 
LIBORCovarianceModelFromVolatilityAndCorrelation - Class in net.finmath.montecarlo.interestrate.covariancemodels
A covariance model build from a volatility model implementing LIBORVolatilityModel and a correlation model implementing LIBORCorrelationModel.
LIBORCovarianceModelFromVolatilityAndCorrelation(TimeDiscretizationInterface, TimeDiscretizationInterface, LIBORVolatilityModel, LIBORCorrelationModel) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelFromVolatilityAndCorrelation
 
LIBORCovarianceModelFromVolatilityAndCorrelation - Class in net.finmath.montecarlo.interestrate.modelplugins
A covariance model build from a volatility model implementing LIBORVolatilityModel and a correlation model implementing LIBORCorrelationModel.
LIBORCovarianceModelFromVolatilityAndCorrelation(TimeDiscretizationInterface, TimeDiscretizationInterface, LIBORVolatilityModel, LIBORCorrelationModel) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelFromVolatilityAndCorrelation
 
LIBORCovarianceModelStochasticHestonVolatility - Class in net.finmath.montecarlo.interestrate.modelplugins
As Heston like stochastic volatility model, using a process \( lambda(t) = \sqrt(V(t)) \) \[ dV(t) = \kappa ( \theta - V(t) ) dt + \xi \sqrt{V(t)} dW_{1}(t), \quad V(0) = 1.0, \] where \( \lambda(0) = 1 \) to scale all factor loadings \( f_{i} \) returned by a given covariance model.
LIBORCovarianceModelStochasticHestonVolatility(AbstractLIBORCovarianceModelParametric, BrownianMotionInterface, double, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticHestonVolatility
Create a modification of a given AbstractLIBORCovarianceModelParametric with a stochastic volatility scaling.
LIBORCovarianceModelStochasticVolatility - Class in net.finmath.montecarlo.interestrate.covariancemodels
Simple stochastic volatility model, using a process \[ d\lambda(t) = \nu \lambda(t) \left( \rho \mathrm{d} W_{1}(t) + \sqrt{1-\rho^{2}} \mathrm{d} W_{2}(t) \right) \text{,} \] where \( \lambda(0) = 1 \) to scale all factor loadings \( f_{i} \) returned by a given covariance model.
LIBORCovarianceModelStochasticVolatility(AbstractLIBORCovarianceModelParametric, BrownianMotionInterface, RandomVariableInterface, RandomVariableInterface, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORCovarianceModelStochasticVolatility
Create a modification of a given AbstractLIBORCovarianceModelParametric with a stochastic volatility scaling.
LIBORCovarianceModelStochasticVolatility - Class in net.finmath.montecarlo.interestrate.modelplugins
Simple stochastic volatility model, using a process \[ d\lambda(t) = \nu \lambda(t) \left( \rho \mathrm{d} W_{1}(t) + \sqrt{1-\rho^{2}} \mathrm{d} W_{2}(t) \right) \text{,} \] where \( \lambda(0) = 1 \) to scale all factor loadings \( f_{i} \) returned by a given covariance model.
LIBORCovarianceModelStochasticVolatility(AbstractLIBORCovarianceModelParametric, BrownianMotionInterface, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelStochasticVolatility
Create a modification of a given AbstractLIBORCovarianceModelParametric with a stochastic volatility scaling.
LIBORIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A (floating) forward rate index for a given period start offset (offset from fixing) and period length.
LIBORIndex(String, double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.LIBORIndex
Creates a forward rate index for a given period start offset (offset from fixing) and period length.
LIBORIndex(double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.LIBORIndex
Creates a forward rate index for a given period start offset (offset from fixing) and period length.
LIBORMarketModel - Class in net.finmath.montecarlo.interestrate
Implements a (generalized) LIBOR market model with some drift approximation methods.
LIBORMarketModel(TimeDiscretizationInterface, AnalyticModelInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractRandomVariableFactory, AbstractLIBORCovarianceModel, LIBORMarketModel.CalibrationItem[], Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model for given covariance.
LIBORMarketModel(TimeDiscretizationInterface, AnalyticModelInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel, LIBORMarketModel.CalibrationItem[], Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model for given covariance.
LIBORMarketModel(TimeDiscretizationInterface, ForwardCurveInterface, AbstractLIBORCovarianceModel) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model for given covariance.
LIBORMarketModel(TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model for given covariance.
LIBORMarketModel(TimeDiscretizationInterface, ForwardCurveInterface, AbstractLIBORCovarianceModel, AbstractSwaptionMarketData) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model using a given covariance model and calibrating this model to given swaption volatility data.
LIBORMarketModel(TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel, AbstractSwaptionMarketData) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model for given covariance.
LIBORMarketModel(TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel, AbstractSwaptionMarketData, Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model for given covariance.
LIBORMarketModel(TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel, LIBORMarketModel.CalibrationItem[], Map<String, ?>) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModel
Creates a LIBOR Market Model for given covariance.
LIBORMarketModel.CalibrationItem - Class in net.finmath.montecarlo.interestrate
A class for calibration items, that is a tripple (P,V,w) where P is a product, V is a target value and w is a weight.
LIBORMarketModel.Driftapproximation - Enum in net.finmath.montecarlo.interestrate
 
LIBORMarketModel.Measure - Enum in net.finmath.montecarlo.interestrate
 
LIBORMarketModel.StateSpace - Enum in net.finmath.montecarlo.interestrate
 
LIBORMarketModelInterface - Interface in net.finmath.montecarlo.interestrate
Interface for LIBOR Market Models which are determined by a covariance structure defined on discrete forward rates.
LIBORMarketModelStandard - Class in net.finmath.montecarlo.interestrate
Implements a basic LIBOR market model with some drift approximation methods.
LIBORMarketModelStandard(TimeDiscretizationInterface, ForwardCurveInterface, AbstractLIBORCovarianceModel) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Creates a LIBOR Market Model for given covariance.
LIBORMarketModelStandard(TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Creates a LIBOR Market Model for given covariance.
LIBORMarketModelStandard(TimeDiscretizationInterface, ForwardCurveInterface, AbstractLIBORCovarianceModel, AbstractSwaptionMarketData) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Creates a LIBOR Market Model using a given covariance model and calibrating this model to given swaption volatility data.
LIBORMarketModelStandard(TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel, AbstractSwaptionMarketData) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Creates a LIBOR Market Model for given covariance.
LIBORMarketModelStandard(TimeDiscretizationInterface, ForwardCurveInterface, DiscountCurveInterface, AbstractLIBORCovarianceModel, LIBORMarketModelStandard.CalibrationItem[]) - Constructor for class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
Creates a LIBOR Market Model for given covariance.
LIBORMarketModelStandard.CalibrationItem - Class in net.finmath.montecarlo.interestrate
A class for calibration items, that is a tripple (P,V,w) where P is a product, V is a target value and w is a weight.
LIBORMarketModelStandard.Driftapproximation - Enum in net.finmath.montecarlo.interestrate
 
LIBORMarketModelStandard.Measure - Enum in net.finmath.montecarlo.interestrate
 
LIBORMarketModelWithTenorRefinement - Class in net.finmath.montecarlo.interestrate
Creates a model for given covariance.
LIBORMarketModelWithTenorRefinement.CalibrationItem - Class in net.finmath.montecarlo.interestrate
A class for calibration items, that is a tripple (P,V,w) where P is a product, V is a target value and w is a weight.
LIBORMarketModelWithTenorRefinement.Driftapproximation - Enum in net.finmath.montecarlo.interestrate
 
LIBORModelInterface - Interface in net.finmath.montecarlo.interestrate
 
LIBORModelMonteCarloSimulation - Class in net.finmath.montecarlo.interestrate
Implements convenient methods for a LIBOR market model, based on a given LIBORMarketModel model and AbstractLogNormalProcess process.
LIBORModelMonteCarloSimulation(LIBORModelInterface, AbstractProcessInterface) - Constructor for class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
Create a LIBOR Monte-Carlo Simulation from a given LIBORMarketModel and an AbstractProcess.
LIBORModelMonteCarloSimulation(LIBORModelInterface) - Constructor for class net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulation
Create a LIBOR Monte-Carlo Simulation from a given LIBORModelInterface.
LIBORModelMonteCarloSimulationInterface - Interface in net.finmath.montecarlo.interestrate
Basic interface which has to be implemented by Monte Carlo models for LIBOR processes.
LIBORVolatilityModel - Class in net.finmath.montecarlo.interestrate.covariancemodels
Abstract base class and interface description of a volatility model (as it is used in LIBORCovarianceModelFromVolatilityAndCorrelation).
LIBORVolatilityModel(TimeDiscretizationInterface, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModel
 
LIBORVolatilityModel - Class in net.finmath.montecarlo.interestrate.modelplugins
Abstract base class and interface description of a volatility model (as it is used in LIBORCovarianceModelFromVolatilityAndCorrelation).
LIBORVolatilityModel(TimeDiscretizationInterface, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModel
 
LIBORVolatilityModelFourParameterExponentialForm - Class in net.finmath.montecarlo.interestrate.covariancemodels
Implements the volatility model \[ \sigma_{i}(t_{j}) = ( a + b (T_{i}-t_{j}) ) exp(-c (T_{i}-t_{j})) + d \text{
LIBORVolatilityModelFourParameterExponentialForm(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFourParameterExponentialForm
Creates the volatility model σi(tj) = ( a + b * (Ti-tj) ) * exp(-c (Ti-tj)) + d
LIBORVolatilityModelFourParameterExponentialForm(TimeDiscretizationInterface, TimeDiscretizationInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, RandomVariableInterface, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFourParameterExponentialForm
Creates the volatility model σi(tj) = ( a + b * (Ti-tj) ) * exp(-c (Ti-tj)) + d
LIBORVolatilityModelFourParameterExponentialForm - Class in net.finmath.montecarlo.interestrate.modelplugins
Implements the volatility model \[ \sigma_{i}(t_{j}) = ( a + b (T_{i}-t_{j}) ) exp(-c (T_{i}-t_{j})) + d \text{
LIBORVolatilityModelFourParameterExponentialForm(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, double, double, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialForm
Creates the volatility model σi(tj) = ( a + b * (Ti-tj) ) * exp(-c (Ti-tj)) + d
LIBORVolatilityModelFourParameterExponentialForm(TimeDiscretizationInterface, TimeDiscretizationInterface, double, double, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialForm
Creates the volatility model σi(tj) = ( a + b * (Ti-tj) ) * exp(-c (Ti-tj)) + d
LIBORVolatilityModelFourParameterExponentialFormIntegrated - Class in net.finmath.montecarlo.interestrate.modelplugins
Implements the volatility model \[ \sigma_{i}(t_{j}) = \sqrt{ \frac{1}{t_{j+1}-t_{j}} \int_{t_{j}}^{t_{j+1}} \left( ( a + b (T_{i}-t) ) exp(-c (T_{i}-t)) + d \right)^{2} \ \mathrm{d}t } \text{
LIBORVolatilityModelFourParameterExponentialFormIntegrated(TimeDiscretizationInterface, TimeDiscretizationInterface, double, double, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFourParameterExponentialFormIntegrated
Creates the volatility model \[ \sigma_{i}(t_{j}) = \sqrt{ \frac{1}{t_{j+1}-t_{j}} \int_{t_{j}}^{t_{j+1}} \left( ( a + b (T_{i}-t) ) \exp(-c (T_{i}-t)) + d \right)^{2} \ \mathrm{d}t } \text{
LIBORVolatilityModelFromGivenMatrix - Class in net.finmath.montecarlo.interestrate.covariancemodels
Implements a simple volatility model using given piece-wise constant values on a given discretization grid.
LIBORVolatilityModelFromGivenMatrix(TimeDiscretizationInterface, TimeDiscretizationInterface, RandomVariableInterface[][]) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFromGivenMatrix
Creates a simple volatility model using given piece-wise constant values on a given discretization grid.
LIBORVolatilityModelFromGivenMatrix - Class in net.finmath.montecarlo.interestrate.modelplugins
Implements a simple volatility model using given piece-wise constant values on a given discretization grid.
LIBORVolatilityModelFromGivenMatrix(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, double[][], boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFromGivenMatrix
Creates a simple volatility model using given piece-wise constant values on a given discretization grid.
LIBORVolatilityModelFromGivenMatrix(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, double[][]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFromGivenMatrix
Creates a simple volatility model using given piece-wise constant values on a given discretization grid.
LIBORVolatilityModelFromGivenMatrix(TimeDiscretizationInterface, TimeDiscretizationInterface, double[][]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelFromGivenMatrix
Creates a simple volatility model using given piece-wise constant values on a given discretization grid.
LIBORVolatilityModelMaturityDependentFourParameterExponentialForm - Class in net.finmath.montecarlo.interestrate.modelplugins
 
LIBORVolatilityModelMaturityDependentFourParameterExponentialForm(TimeDiscretizationInterface, TimeDiscretizationInterface, double, double, double, double) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelMaturityDependentFourParameterExponentialForm
 
LIBORVolatilityModelMaturityDependentFourParameterExponentialForm(TimeDiscretizationInterface, TimeDiscretizationInterface, double[], double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelMaturityDependentFourParameterExponentialForm
 
LIBORVolatilityModelPiecewiseConstant - Class in net.finmath.montecarlo.interestrate.covariancemodels
 
LIBORVolatilityModelPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, RandomVariableInterface[][], boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, RandomVariableInterface[], boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, RandomVariableInterface, boolean) - Constructor for class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant - Class in net.finmath.montecarlo.interestrate.modelplugins
 
LIBORVolatilityModelPiecewiseConstant(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[][], boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[], boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[], boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstant
 
LIBORVolatilityModelPiecewiseConstantLegacy - Class in net.finmath.montecarlo.interestrate.modelplugins
 
LIBORVolatilityModelPiecewiseConstantLegacy(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[][], boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
LIBORVolatilityModelPiecewiseConstantLegacy(AbstractRandomVariableFactory, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[], boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
LIBORVolatilityModelPiecewiseConstantLegacy(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[], boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
LIBORVolatilityModelPiecewiseConstantLegacy(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
LIBORVolatilityModelPiecewiseConstantLegacy(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
LIBORVolatilityModelPiecewiseConstantLegacy(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelPiecewiseConstantLegacy
 
LIBORVolatilityModelTimeHomogenousPiecewiseConstant - Class in net.finmath.montecarlo.interestrate.modelplugins
Implements a piecewise constant volatility model, where \( \sigma(t,T) = sigma_{i} \) where \( i = \max \{ j : \tau_{j} \leq T-t \} \) and \( \tau_{0}, \tau_{1}, \ldots, \tau_{n-1} \) is a given time discretization.
LIBORVolatilityModelTimeHomogenousPiecewiseConstant(TimeDiscretizationInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double[]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTimeHomogenousPiecewiseConstant
Create a piecewise constant volatility model, where \( \sigma(t,T) = sigma_{i} \) where \( i = \max \{ j : \tau_{j} \leq T-t \} \) and \( \tau_{0}, \tau_{1}, \ldots, \tau_{n-1} \) is a given time discretization.
LIBORVolatilityModelTwoParameterExponentialForm - Class in net.finmath.montecarlo.interestrate.modelplugins
Implements the volatility model σi(tj) = a * exp(-b (Ti-tj))
LIBORVolatilityModelTwoParameterExponentialForm(TimeDiscretizationInterface, TimeDiscretizationInterface, double, double) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTwoParameterExponentialForm
Creates the volatility model σi(tj) = a * exp(-b (Ti-tj))
LIBORVolatilityModelTwoParameterExponentialForm(TimeDiscretizationInterface, TimeDiscretizationInterface, double, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.LIBORVolatilityModelTwoParameterExponentialForm
Creates the volatility model σi(tj) = a * exp(-b (Ti-tj))
Library - Class in net.finmath.information
Provides information on the finmath-lib library, e.g., the version.
LinearAlgebra - Class in net.finmath.functions
This class implements some methods from linear algebra (e.g. solution of a linear equation, PCA).
LinearAlgebra() - Constructor for class net.finmath.functions.LinearAlgebra
 
LinearCombinationIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A linear combination index paying scaling1 * index1(t) + scaling2 * index2(t)
LinearCombinationIndex(double, AbstractProductComponent, double, AbstractProductComponent) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
Create a linear combination index paying scaling1 * index1(t) + scaling2 * index2(t)
LinearInterpolatedTimeDiscreteProcess - Class in net.finmath.montecarlo.process
A linear interpolated time discrete process, that is, given a collection of tuples (Double, RandomVariable) representing realizations \( X(t_{i}) \) this class implements the ProcessInterface and creates a stochastic process \( t \mapsto X(t) \) where \[ X(t) = \frac{t_{i+1} - t}{t_{i+1}-t_{i}} X(t_{i}) + \frac{t - t_{i}}{t_{i+1}-t_{i}} X(t_{i+1}) \] with \( t_{i} \leq t \leq t_{i+1} \).
LinearInterpolatedTimeDiscreteProcess(Map<Double, RandomVariableInterface>) - Constructor for class net.finmath.montecarlo.process.LinearInterpolatedTimeDiscreteProcess
Create a time discrete process by linear interpolation of random variables.
LocalRiskMinimizingHedgePortfolio - Class in net.finmath.montecarlo.assetderivativevaluation.products
This class implements a mean variance hedged portfolio of a given product (a hedge simulator).
LocalRiskMinimizingHedgePortfolio(AbstractAssetMonteCarloProduct, AssetModelMonteCarloSimulationInterface, TimeDiscretizationInterface, int) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.products.LocalRiskMinimizingHedgePortfolio
Construction of a variance minimizing hedge portfolio.
log() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
log() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
log() - Method in class net.finmath.montecarlo.RandomVariable
 
log() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
log() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
log() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → log(x) to this random variable.
log() - Method in class net.finmath.stochastic.Scalar
 
LogNormalProcess - Class in net.finmath.montecarlo.templatemethoddesign
This class is an abstract base class to implement an Euler scheme of a multi-dimensional multi-factor log-normal Ito process.
LogNormalProcess(int, BrownianMotionInterface) - Constructor for class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
Create a log normal process.
LogNormalProcess(TimeDiscretizationInterface, int, int) - Constructor for class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
Create a simulation of log normal process.
LogNormalProcess(TimeDiscretizationInterface, int, int, int, int) - Constructor for class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
Create a simulation of log normal process.
LogNormalProcess.Scheme - Enum in net.finmath.montecarlo.templatemethoddesign
 

M

main(String[]) - Static method in class net.finmath.interpolation.RationalFunctionInterpolation
 
main(String[]) - Static method in class net.finmath.optimizer.GoldenSectionSearch
 
main(String[]) - Static method in class net.finmath.optimizer.LevenbergMarquardt
 
main(String[]) - Static method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
main(String[]) - Static method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
margrabeExchangeOptionValue(double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculates the value of an Exchange option under a generalized Black-Scholes model, i.e., the payoff \( max(S_{1}(T)-S_{2}(T),0) \), where \( S_{1} \) and \( S_{2} \) follow a log-normal process with constant log-volatility and constant instantaneous correlation.
MarketData - Class in net.finmath.timeseries
A set of raw data associated with a given date.
MarketData(Calendar, Map<String, Double>) - Constructor for class net.finmath.timeseries.MarketData
 
MarketForwardRateAgreement - Class in net.finmath.analytic.products
Implements the valuation of a market forward rate agreement using curves (discount curve, forward curve).
MarketForwardRateAgreement(double, double, String, double, String) - Constructor for class net.finmath.analytic.products.MarketForwardRateAgreement
Creates a market forward rate agreement.
MarketForwardRateAgreement - Class in net.finmath.marketdata.products
Implements the valuation of a market forward rate agreement using curves (discount curve, forward curve).
MarketForwardRateAgreement(double, double, String, double, String) - Constructor for class net.finmath.marketdata.products.MarketForwardRateAgreement
Creates a market forward rate agreement.
MaxIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A maximum index.
MaxIndex(AbstractProductComponent...) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.MaxIndex
Creates the function max(index1(t), index2(t), ...)
MersenneTwister - Class in net.finmath.randomnumbers
 
MersenneTwister(long) - Constructor for class net.finmath.randomnumbers.MersenneTwister
 
MertonModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class implements a Merton Model, that is, it provides the drift and volatility specification and performs the calculation of the numeraire (consistent with the dynamics, i.e. the drift).
MertonModel(double, double, double, double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.MertonModel
Create a Heston model.
MinIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A minumum index.
MinIndex(AbstractProductComponent...) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.MinIndex
Creates the function min(index1(t), index2(t), ...)
ModelDescriptor - Interface in net.finmath.modelling
Interface for a model descriptor.
ModelFactory<T extends ModelDescriptor> - Interface in net.finmath.modelling
A factory to instantiate a model from a given descriptor.
ModelFactory - Class in net.finmath.montecarlo.hybridassetinterestrate
Helper factory to create a simple equity hybrid LIBOR market model.
ModelInterface - Interface in net.finmath.modelling
Interface to be implemented by all model.
MoneyMarketAccount - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a money market account.
MoneyMarketAccount(double, double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.MoneyMarketAccount
Create a money market account.
MoneyMarketAccount(double, double) - Constructor for class net.finmath.montecarlo.interestrate.products.MoneyMarketAccount
Create a money market account.
MoneyMarketAccount() - Constructor for class net.finmath.montecarlo.interestrate.products.MoneyMarketAccount
Create a default money market account.
MonteCarloAssetModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class glues together an AbstractModel and a Monte-Carlo implementation of a AbstractProcess and implements AssetModelMonteCarloSimulationInterface.
MonteCarloAssetModel(AbstractModelInterface, AbstractProcessInterface) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.MonteCarloAssetModel
Create a Monte-Carlo simulation using given process discretization scheme.
MonteCarloBlackScholesModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class glues together a BlackScholeModel and a Monte-Carlo implementation of a AbstractProcess and forms a Monte-Carlo implementation of the Black-Scholes Model by implementing AssetModelMonteCarloSimulationInterface.
MonteCarloBlackScholesModel(TimeDiscretizationInterface, int, double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
Create a Monte-Carlo simulation using given time discretization.
MonteCarloBlackScholesModel(double, double, double, AbstractProcess) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.MonteCarloBlackScholesModel
Create a Monte-Carlo simulation using given process discretization scheme.
MonteCarloBlackScholesModel2 - Class in net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation
Monte Carlo simulation of a simple Black-Scholes model for a stock generated discrete process
MonteCarloBlackScholesModel2(TimeDiscretizationInterface, int, double, double, double) - Constructor for class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
Create a Monte-Carlo simulation using given time discretization.
MonteCarloBlackScholesModel2(TimeDiscretizationInterface, int, double, double, double, int) - Constructor for class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
Create a Monte-Carlo simulation using given time discretization.
MonteCarloConditionalExpectationRegression - Class in net.finmath.montecarlo.conditionalexpectation
A service that allows to estimate conditional expectation via regression.
MonteCarloConditionalExpectationRegression() - Constructor for class net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression
 
MonteCarloConditionalExpectationRegression(RandomVariableInterface[]) - Constructor for class net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression
Creates a class for conditional expectation estimation.
MonteCarloConditionalExpectationRegression(RandomVariableInterface[], RandomVariableInterface[]) - Constructor for class net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression
Creates a class for conditional expectation estimation.
MonteCarloConditionalExpectationRegression.RegressionBasisFunctions - Interface in net.finmath.montecarlo.conditionalexpectation
Interface for objects specifying regression basis functions (a vector of random variables).
MonteCarloConditionalExpectationRegression.RegressionBasisFunctionsGiven - Class in net.finmath.montecarlo.conditionalexpectation
Wrapper to an array of RandomVariableInterface[] implementing RegressionBasisFunctions
MonteCarloIntegrator - Class in net.finmath.integration
A simple integrator using Monte-Carlo integration.
MonteCarloIntegrator(double, double, int, boolean) - Constructor for class net.finmath.integration.MonteCarloIntegrator
Create an integrator using Simpson's rule.
MonteCarloIntegrator(double, double, int) - Constructor for class net.finmath.integration.MonteCarloIntegrator
Create an integrator using Simpson's rule.
MonteCarloMertonModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class glues together a MertonModel and a Monte-Carlo implementation of a AbstractProcess, namely ProcessEulerScheme, and forms a Monte-Carlo implementation of the Merton model by implementing AssetModelMonteCarloSimulationInterface.
MonteCarloMertonModel(TimeDiscretizationInterface, int, int, double, double, double, double, double, double) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMertonModel
Create a Monte-Carlo simulation using given time discretization and given parameters.
MonteCarloMultiAssetBlackScholesModel - Class in net.finmath.montecarlo.assetderivativevaluation
This class glues together a BlackScholeModel and a Monte-Carlo implementation of a AbstractProcess and forms a Monte-Carlo implementation of the Black-Scholes Model by implementing AssetModelMonteCarloSimulationInterface.
MonteCarloMultiAssetBlackScholesModel(BrownianMotionInterface, double[], double, double[], double[][]) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
Create a Monte-Carlo simulation using given time discretization.
MonteCarloMultiAssetBlackScholesModel(TimeDiscretizationInterface, int, double[], double, double[], double[][]) - Constructor for class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
Create a Monte-Carlo simulation using given time discretization.
MonteCarloSimulationInterface - Interface in net.finmath.montecarlo
The interface implemented by a simulation of an SDE.
mult(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
mult(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
mult(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
mult(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
mult(double) - Method in class net.finmath.montecarlo.RandomVariable
 
mult(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
mult(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
mult(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
mult(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
mult(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
mult(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x * value to this random variable.
mult(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x*randomVariable to this random variable.
mult(double) - Method in class net.finmath.stochastic.Scalar
 
mult(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 

N

name() - Method in class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
name() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
name() - Method in class net.finmath.modelling.descriptor.HullWhiteModelDescriptor
 
name() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
name() - Method in class net.finmath.modelling.descriptor.SingleAssetDigitalOptionProductDescriptor
 
name() - Method in class net.finmath.modelling.descriptor.SingleAssetEuropeanOptionProductDescriptor
 
name() - Method in interface net.finmath.modelling.ModelDescriptor
Return the name of the model represented by this descriptor.
name() - Method in interface net.finmath.modelling.ProductDescriptor
Return the name of the model represented by this descriptor.
net.finmath.analytic - package net.finmath.analytic
Algorithms and methodologies related to market data, e.g., calibration of interest rate curves, interpolation of volatility surfaces.
net.finmath.analytic.calibration - package net.finmath.analytic.calibration
Provides classes to create a calibrated model of curves from a collection of calibration products and corresponding target values.
net.finmath.analytic.interpolation - package net.finmath.analytic.interpolation
Basic methodologies to interpolate of curves and surfaces are provided here.
net.finmath.analytic.model - package net.finmath.analytic.model
Provides interface specification and implementation of a model, which is essentially a collection of curves.
net.finmath.analytic.model.curves - package net.finmath.analytic.model.curves
Provides interface specification and implementation of curves, e.g., interest rate curves like discount curves and forward curves.
net.finmath.analytic.model.volatilities - package net.finmath.analytic.model.volatilities
Provides interface specification and implementation of volatility surfaces, e.g., interest rate volatility surfaces like (implied) caplet volatilities and swaption volatilities.
net.finmath.analytic.products - package net.finmath.analytic.products
Provides interface specification and implementation of products, e.g., calibration products.
net.finmath.concurrency - package net.finmath.concurrency
Provides helper classes related to concurrent programming.
net.finmath.exception - package net.finmath.exception
Provides classes related to exception handling.
net.finmath.finitedifference - package net.finmath.finitedifference
Algorithms using finite differences methods.
net.finmath.finitedifference.experimental - package net.finmath.finitedifference.experimental
Algorithms using finite differences methods.
net.finmath.finitedifference.models - package net.finmath.finitedifference.models
Models provided for finite difference solvers.
net.finmath.finitedifference.products - package net.finmath.finitedifference.products
Product valuation code for models using backward propagation.
net.finmath.finitedifference.solvers - package net.finmath.finitedifference.solvers
Finite difference solvers
net.finmath.fouriermethod - package net.finmath.fouriermethod
Provides algorithms related to derivative valuation via a models characteristic functions and Fourier transforms of a products payoffs.
net.finmath.fouriermethod.models - package net.finmath.fouriermethod.models
Provides characteristic functions of stochastic processes (models).
net.finmath.fouriermethod.products - package net.finmath.fouriermethod.products
Provides characteristic functions of payoffs / values (products) and their numerical integration against a given model (valuation).
net.finmath.functions - package net.finmath.functions
Provides some static functions, e.g., analytic valuation formulas or functions from linear algebra.
net.finmath.information - package net.finmath.information
Provides information about the library (e.g. the version and build number) and runtime.
net.finmath.integration - package net.finmath.integration
Provides algorithms for numerical integration and wrappers to libraries with algorithms for numerical integration.
net.finmath.interpolation - package net.finmath.interpolation
Basic methodologies to interpolate of curves and surfaces are provided here.
net.finmath.marketdata - package net.finmath.marketdata
Algorithms and methodologies related to market data, e.g., calibration of interest rate curves, interpolation of volatility surfaces.
net.finmath.marketdata.calibration - package net.finmath.marketdata.calibration
Provides classes to create a calibrated model of curves from a collection of calibration products and corresponding target values.
net.finmath.marketdata.model - package net.finmath.marketdata.model
Provides interface specification and implementation of a model, which is essentially a collection of curves.
net.finmath.marketdata.model.bond - package net.finmath.marketdata.model.bond
Provided classes related to the modelling of Bond curves.
net.finmath.marketdata.model.curves - package net.finmath.marketdata.model.curves
Provides interface specification and implementation of curves, e.g., interest rate curves like discount curves and forward curves.
net.finmath.marketdata.model.curves.locallinearregression - package net.finmath.marketdata.model.curves.locallinearregression
Provided classes implementing the local linear regression method, see see https://ssrn.com/abstract=3073942
net.finmath.marketdata.model.volatilities - package net.finmath.marketdata.model.volatilities
Provides interface specification and implementation of volatility surfaces, e.g., interest rate volatility surfaces like (implied) caplet volatilities and swaption volatilities.
net.finmath.marketdata.products - package net.finmath.marketdata.products
Provides interface specification and implementation of products, e.g., calibration products.
net.finmath.modelling - package net.finmath.modelling
Provides interface separating models and products.
net.finmath.modelling.descriptor - package net.finmath.modelling.descriptor
Provides interface separating implementation from specification (of models and products)
net.finmath.modelling.modelfactory - package net.finmath.modelling.modelfactory
Provides classes to build models from descriptors.
net.finmath.modelling.productfactory - package net.finmath.modelling.productfactory
Provides classes to build products from descriptors.
net.finmath.montecarlo - package net.finmath.montecarlo
Provides basic interfaces and classes used in Monte-Carlo models (like LIBOR market model or Monte-Carlo simulation of a Black-Scholes model), e.g., the Monte-Carlo random variable and the Brownian motion.
net.finmath.montecarlo.assetderivativevaluation - package net.finmath.montecarlo.assetderivativevaluation
Monte-Carlo models for asset value processes, like the Black Scholes model.
net.finmath.montecarlo.assetderivativevaluation.products - package net.finmath.montecarlo.assetderivativevaluation.products
Products which may be valued using an AssetModelMonteCarloSimulationInterface.
net.finmath.montecarlo.automaticdifferentiation - package net.finmath.montecarlo.automaticdifferentiation
Provides classes adding automatic differentiation capabilities to objects relying on RandomVariableInterface objects.
net.finmath.montecarlo.automaticdifferentiation.backward - package net.finmath.montecarlo.automaticdifferentiation.backward
Provides the implementation of backward automatic differentiation.
net.finmath.montecarlo.automaticdifferentiation.forward - package net.finmath.montecarlo.automaticdifferentiation.forward
Provides the implementation of forward automatic differentiation.
net.finmath.montecarlo.conditionalexpectation - package net.finmath.montecarlo.conditionalexpectation
Algorithms to perform the calculation of conditional expectations in Monte-Carlo simulations, also known as "American Monte-Carlo".
net.finmath.montecarlo.crosscurrency - package net.finmath.montecarlo.crosscurrency
Provides classes for Cross-Currency models to be implemented via Monte-Carlo algorithms from net.finmath.montecarlo.process.
net.finmath.montecarlo.hybridassetinterestrate - package net.finmath.montecarlo.hybridassetinterestrate
Provides interfaces and classes needed to generate a Hybrid Asset LIBOR Market Model.
net.finmath.montecarlo.hybridassetinterestrate.products - package net.finmath.montecarlo.hybridassetinterestrate.products
Provides classes which implement financial products which may be valued using a net.finmath.montecarlo.hybridassetinterestrate.HybridAssetLIBORModelMonteCarloSimulationInterface.
net.finmath.montecarlo.interestrate - package net.finmath.montecarlo.interestrate
Provides classes needed to generate a LIBOR market model (using numerical algorithms from net.finmath.montecarlo.process.
net.finmath.montecarlo.interestrate.covariancemodels - package net.finmath.montecarlo.interestrate.covariancemodels
Contains covariance models and their calibration as plug-ins for the LIBOR market model and volatility and correlation models which may be used to build a covariance model.
net.finmath.montecarlo.interestrate.modelplugins - package net.finmath.montecarlo.interestrate.modelplugins
Contains covariance models and their calibration as plug-ins for the LIBOR market model and volatility and correlation models which may be used to build a covariance model.
net.finmath.montecarlo.interestrate.products - package net.finmath.montecarlo.interestrate.products
Provides classes which implement financial products which may be valued using a net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationInterface.
net.finmath.montecarlo.interestrate.products.components - package net.finmath.montecarlo.interestrate.products.components
Provides a set product components which allow to build financial products by composition.
net.finmath.montecarlo.interestrate.products.indices - package net.finmath.montecarlo.interestrate.products.indices
Provides a set of indices which can be used as part of a period.
net.finmath.montecarlo.model - package net.finmath.montecarlo.model
Provides an interface an a base class for process models, i.e., models providing the parameters for stochastic processes.
net.finmath.montecarlo.process - package net.finmath.montecarlo.process
Interfaced for stochastic processes and numerical schemes for stochastic processes (SDEs), like the Euler scheme.
net.finmath.montecarlo.process.component.factordrift - package net.finmath.montecarlo.process.component.factordrift
Components providing the factor drift in the simulation of a proxy simulation scheme.
net.finmath.montecarlo.products - package net.finmath.montecarlo.products
Products which are model independent, but assume a Monte-Carlo simulation.
net.finmath.montecarlo.templatemethoddesign - package net.finmath.montecarlo.templatemethoddesign
Legacy classes related to Monte-Carlo simulation - used for teaching only.
net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation - package net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation
Legacy classes related to Monte-Carlo simulation - used for teaching only.
net.finmath.optimizer - package net.finmath.optimizer
This package provides classes with numerical algorithm for optimization of an objective function and a factory to easy construction of the optimizers.
net.finmath.randomnumbers - package net.finmath.randomnumbers
Random number generators for samples of uniform distributed random variables and generators and transformation for other distriburtions.
net.finmath.stochastic - package net.finmath.stochastic
Interfaces specifying operations on random variables.
net.finmath.swing - package net.finmath.swing
Provides utilities for Java swing (used in finmath applets).
net.finmath.time - package net.finmath.time
Provides interfaces and classes for time discretizations, tenors and (swap) schedule generation.
net.finmath.time.businessdaycalendar - package net.finmath.time.businessdaycalendar
Provides business day calendars, e.g., as used in date roll conventions.
net.finmath.time.daycount - package net.finmath.time.daycount
Provides various day count conventions, e.g., as used in the definition of coupon payments of interest rate products.
net.finmath.timeseries - package net.finmath.timeseries
Provides classes related to time series modeling and estimation, e.g. maximum likelihood estimation of GARCH models.
net.finmath.timeseries.models.parametric - package net.finmath.timeseries.models.parametric
Classes related to estimation of time series.
nextDouble() - Method in class net.finmath.randomnumbers.MersenneTwister
Returns the next random number in the sequence.
NormalDistribution - Class in net.finmath.functions
 
Notional - Class in net.finmath.montecarlo.interestrate.products.components
A constant (non-stochastic) notional.
Notional(double, String) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Notional
Creates a constant (non-stochastic) notional.
Notional(double) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Notional
Creates a constant (non-stochastic) notional.
Numeraire - Class in net.finmath.montecarlo.interestrate.products.components
A single deterministic cashflow at a fixed time
Numeraire() - Constructor for class net.finmath.montecarlo.interestrate.products.components.Numeraire
Create a product being the numeraire of the given model (will depend on the model).

O

of(double) - Static method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
of(RandomVariableInterface) - Static method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
of(double) - Static method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
of(RandomVariableInterface) - Static method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
optimize() - Method in class net.finmath.optimizer.GoldenSectionSearch
 
OptimizerFactoryCMAES - Class in net.finmath.optimizer
 
OptimizerFactoryCMAES(double, int, double[], double[], double[]) - Constructor for class net.finmath.optimizer.OptimizerFactoryCMAES
 
OptimizerFactoryCMAES(double, int, double[]) - Constructor for class net.finmath.optimizer.OptimizerFactoryCMAES
 
OptimizerFactoryCMAES(double, int) - Constructor for class net.finmath.optimizer.OptimizerFactoryCMAES
 
OptimizerFactoryInterface - Interface in net.finmath.optimizer
 
OptimizerFactoryLevenbergMarquardt - Class in net.finmath.optimizer
 
OptimizerFactoryLevenbergMarquardt(LevenbergMarquardt.RegularizationMethod, int, double, int) - Constructor for class net.finmath.optimizer.OptimizerFactoryLevenbergMarquardt
 
OptimizerFactoryLevenbergMarquardt(int, double, int) - Constructor for class net.finmath.optimizer.OptimizerFactoryLevenbergMarquardt
 
OptimizerFactoryLevenbergMarquardt(int, int) - Constructor for class net.finmath.optimizer.OptimizerFactoryLevenbergMarquardt
 
OptimizerInterface - Interface in net.finmath.optimizer
Interface for numerical optimizers.
OptimizerInterface.ObjectiveFunction - Interface in net.finmath.optimizer
Interface for the objective function.
Option - Class in net.finmath.montecarlo.interestrate.products.components
An option.
Option(double, double, boolean, AbstractLIBORMonteCarloProduct, RegressionBasisFunctionsProvider) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Option
Creates the function underlying(exerciseDate) ≥ strikePrice ?
Option(double, boolean, AbstractLIBORMonteCarloProduct, AbstractLIBORMonteCarloProduct, RegressionBasisFunctionsProvider) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Option
Creates the function underlying(exerciseDate) ≥ strikeProduct ?
Option(double, boolean, AbstractLIBORMonteCarloProduct, AbstractLIBORMonteCarloProduct) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Option
Creates the function underlying(exerciseDate) ≥ strikeProduct ?
Option(double, double, boolean, AbstractLIBORMonteCarloProduct) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Option
Creates the function underlying(exerciseDate) ≥ strikePrice ?
Option(double, double, AbstractLIBORMonteCarloProduct) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Option
Creates the function underlying(exerciseDate) ≥ strikePrice ?
Option(double, AbstractLIBORMonteCarloProduct) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Option
Creates the function underlying(exerciseDate) ≥ 0 ?

P

ParameterAggregation<E extends ParameterObjectInterface> - Class in net.finmath.analytic.calibration
Combine a set of parameter vectors to a single parameter vector.
ParameterAggregation() - Constructor for class net.finmath.analytic.calibration.ParameterAggregation
Create a collection of parametrized objects.
ParameterAggregation(Set<E>) - Constructor for class net.finmath.analytic.calibration.ParameterAggregation
Create a collection of parametrized objects.
ParameterAggregation(E[]) - Constructor for class net.finmath.analytic.calibration.ParameterAggregation
Create a collection of parametrized objects.
ParameterAggregation<E extends ParameterObjectInterface> - Class in net.finmath.marketdata.calibration
Combine a set of parameter vectors to a single parameter vector.
ParameterAggregation() - Constructor for class net.finmath.marketdata.calibration.ParameterAggregation
Create a collection of parametrized objects.
ParameterAggregation(Set<E>) - Constructor for class net.finmath.marketdata.calibration.ParameterAggregation
Create a collection of parametrized objects.
ParameterAggregation(E[]) - Constructor for class net.finmath.marketdata.calibration.ParameterAggregation
Create a collection of parametrized objects.
ParameterObjectInterface - Interface in net.finmath.analytic.calibration
An objects having a dependence on a parameter (double[]).
ParameterObjectInterface - Interface in net.finmath.marketdata.calibration
An objects having a dependence on a parameter (double[]).
ParameterTransformation - Interface in net.finmath.analytic.calibration
Interface for parameter transformation.
ParameterTransformation - Interface in net.finmath.marketdata.calibration
Interface for parameter transformation.
Partition - Class in net.finmath.marketdata.model.curves.locallinearregression
This class represents a set of discrete points in time with weighted interval reference points.
Partition(double[], double) - Constructor for class net.finmath.marketdata.model.curves.locallinearregression.Partition
Creates a partition.
Partition(double[]) - Constructor for class net.finmath.marketdata.model.curves.locallinearregression.Partition
Creates a partition with fixed weight=0.5.
paymentBusinessdayCalendar - Variable in class net.finmath.analytic.model.curves.AbstractForwardCurve
 
paymentBusinessdayCalendar - Variable in class net.finmath.marketdata.model.curves.AbstractForwardCurve
 
paymentDateRollConvention - Variable in class net.finmath.analytic.model.curves.AbstractForwardCurve
 
paymentDateRollConvention - Variable in class net.finmath.marketdata.model.curves.AbstractForwardCurve
 
paymentOffsetCode - Variable in class net.finmath.analytic.model.curves.AbstractForwardCurve
 
paymentOffsetCode - Variable in class net.finmath.marketdata.model.curves.AbstractForwardCurve
 
Performance - Class in net.finmath.analytic.products
Implements an analytic product given by the ratio of two analytic products.
Performance(AbstractAnalyticProduct, AbstractAnalyticProduct) - Constructor for class net.finmath.analytic.products.Performance
Creates a Performance product.
Performance - Class in net.finmath.marketdata.products
Implements an analytic product given by the ratio of two analytic products.
Performance(AbstractAnalyticProduct, AbstractAnalyticProduct) - Constructor for class net.finmath.marketdata.products.Performance
Creates a Performance product.
PerformanceIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A performance index being numeratorIndex(t) / denominatorIndex(t)
PerformanceIndex(AbstractProductComponent, AbstractProductComponent) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.PerformanceIndex
Create a performance index being numeratorIndex(t) / denominatorIndex(t)
Period - Class in net.finmath.montecarlo.interestrate.products.components
A period.
Period(double, double, double, double, AbstractNotional, AbstractProductComponent, double, boolean, boolean, boolean, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Period
Create a simple period with notional and index (coupon) flow.
Period(double, double, double, double, AbstractNotional, AbstractProductComponent, double, boolean, boolean, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Period
Create a simple period with notional and index (coupon) flow.
Period(double, double, double, double, AbstractNotional, AbstractProductComponent, boolean, boolean, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Period
Create a simple period with notional and index (coupon) flow.
Period - Class in net.finmath.time
A period, i.e. a time interval suitable for securities with regular payment schedules.
Period(LocalDate, LocalDate, LocalDate, LocalDate) - Constructor for class net.finmath.time.Period
 
PiecewiseCurve - Class in net.finmath.marketdata.model.curves
A piecewise curve.
PiecewiseCurve(CurveInterface, CurveInterface, double, double) - Constructor for class net.finmath.marketdata.model.curves.PiecewiseCurve
 
PiecewiseCurve.CurveBuilder - Class in net.finmath.marketdata.model.curves
A builder (following the builder pattern) for PiecewiseCurve objects.
PoissonDistribution - Class in net.finmath.functions
 
PoissonDistribution(double) - Constructor for class net.finmath.functions.PoissonDistribution
 
Portfolio - Class in net.finmath.analytic.products
Implements the valuation of a portfolio of products implementing AnalyticProductInterface.
Portfolio(List<AnalyticProductInterface>, List<Double>) - Constructor for class net.finmath.analytic.products.Portfolio
Create a portfolio of products implementing AnalyticProductInterface.
Portfolio(Portfolio, List<AnalyticProductInterface>, List<Double>) - Constructor for class net.finmath.analytic.products.Portfolio
Create a portfolio of products implementing AnalyticProductInterface.
Portfolio(AnalyticProductInterface, double) - Constructor for class net.finmath.analytic.products.Portfolio
Create a portfolio consisting of a single product with a given weight.
Portfolio(List<AnalyticProductInterface>) - Constructor for class net.finmath.analytic.products.Portfolio
Create a portfolio of products implementing AnalyticProductInterface.
Portfolio - Class in net.finmath.marketdata.products
Implements the valuation of a portfolio of products implementing AnalyticProductInterface.
Portfolio(List<AnalyticProductInterface>, List<Double>) - Constructor for class net.finmath.marketdata.products.Portfolio
Create a portfolio of products implementing AnalyticProductInterface.
Portfolio(Portfolio, List<AnalyticProductInterface>, List<Double>) - Constructor for class net.finmath.marketdata.products.Portfolio
Create a portfolio of products implementing AnalyticProductInterface.
Portfolio(AnalyticProductInterface, double) - Constructor for class net.finmath.marketdata.products.Portfolio
Create a portfolio consisting of a single product with a given weight.
Portfolio(List<AnalyticProductInterface>) - Constructor for class net.finmath.marketdata.products.Portfolio
Create a portfolio of products implementing AnalyticProductInterface.
Portfolio - Class in net.finmath.montecarlo.interestrate.products
Implements the pricing of a portfolio of AbstractLIBORMonteCarloProduct products under a AbstractLIBORMarketModel.
Portfolio(AbstractLIBORMonteCarloProduct, double) - Constructor for class net.finmath.montecarlo.interestrate.products.Portfolio
Creates a portfolio consisting of a single product and a weight.
Portfolio(AbstractLIBORMonteCarloProduct[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.Portfolio
Creates a portfolio consisting of a set of products and a weights.
Portfolio(String, AbstractLIBORMonteCarloProduct[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.Portfolio
Creates a portfolio consisting of a set of products and a weights.
PortfolioMonteCarloProduct - Class in net.finmath.montecarlo.products
A portfolio of products, each product being of AbstractMonteCarloProduct type.
PortfolioMonteCarloProduct(AbstractMonteCarloProduct[]) - Constructor for class net.finmath.montecarlo.products.PortfolioMonteCarloProduct
Create a portfolio of products, each product being of AbstractMonteCarloProduct type.
PortfolioMonteCarloProduct(AbstractMonteCarloProduct[], double[]) - Constructor for class net.finmath.montecarlo.products.PortfolioMonteCarloProduct
Create a portfolio of products, each product being of AbstractMonteCarloProduct type and weighted with a given weight.
pow(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
pow(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
pow(double) - Method in class net.finmath.montecarlo.RandomVariable
 
pow(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
pow(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
pow(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → pow(x,exponent) to this random variable.
pow(double) - Method in class net.finmath.stochastic.Scalar
 
PowIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A power index.
PowIndex(AbstractProductComponent, double) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.PowIndex
Creates the function pow(index(t), exponent)
prepareAndSetDerivatives(RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[][]) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
prepareAndSetDerivatives(RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[][]) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardtAD
 
prepareAndSetDerivatives(RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[][]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
prepareAndSetDerivatives(RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[][]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardtAD
 
prepareAndSetValues(RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
prepareAndSetValues(RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardtAD
 
prepareAndSetValues(RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
prepareAndSetValues(RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardtAD
 
price(Date, Date, double, double, double, int) - Static method in class net.finmath.functions.AnalyticFormulas
Re-implementation of the Excel PRICE function (a rather primitive bond price formula).
price(double, double, double, double, int) - Static method in class net.finmath.functions.AnalyticFormulas
Re-implementation of the Excel PRICE function (a rather primitive bond price formula).
ProcessCharacteristicFunctionInterface - Interface in net.finmath.fouriermethod.models
Interface which has to be implemented by models providing the characteristic functions of stochastic processes.
ProcessEulerScheme - Class in net.finmath.montecarlo.process
This class implements some numerical schemes for multi-dimensional multi-factor Ito process.
ProcessEulerScheme(IndependentIncrementsInterface, ProcessEulerScheme.Scheme) - Constructor for class net.finmath.montecarlo.process.ProcessEulerScheme
Create an Euler discretization scheme.
ProcessEulerScheme(IndependentIncrementsInterface) - Constructor for class net.finmath.montecarlo.process.ProcessEulerScheme
Create an Euler discretization scheme.
ProcessEulerScheme.Scheme - Enum in net.finmath.montecarlo.process
 
ProcessInterface - Interface in net.finmath.montecarlo.process
The interface for a stochastic process X.
ProductCollection - Class in net.finmath.montecarlo.interestrate.products.components
A collection of product components (like periods, options, etc.) paying the sum of their payouts.
ProductCollection(AbstractProductComponent...) - Constructor for class net.finmath.montecarlo.interestrate.products.components.ProductCollection
Creates a collection of product components paying the sum of their payouts.
ProductCollection(Collection<AbstractProductComponent>) - Constructor for class net.finmath.montecarlo.interestrate.products.components.ProductCollection
Creates a collection of product components paying the sum of their payouts.
ProductDescriptor - Interface in net.finmath.modelling
Interface for a product descriptor.
ProductFactory<P extends ProductDescriptor> - Interface in net.finmath.modelling
 
ProductFactoryCascade<T extends ProductDescriptor> - Class in net.finmath.modelling.productfactory
Implements a product factory based on a cascade of given factories.
ProductFactoryCascade() - Constructor for class net.finmath.modelling.productfactory.ProductFactoryCascade
 
ProductFactoryCascade(Collection<ProductFactory<T>>) - Constructor for class net.finmath.modelling.productfactory.ProductFactoryCascade
 
ProductIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A product index being index1(t) * index2(t)
ProductIndex(AbstractIndex, AbstractIndex) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.ProductIndex
Create a performance index being numeratorIndex(t) / denominatorIndex(t)
ProductInterface - Interface in net.finmath.modelling
Interface implemented by all financial product which may be valued by a model.

Q

queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractProductComponent
Returns a set of underlying names referenced by this product component (i.e., required for valuation) or null if none.
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.AccrualAccount
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.Cashflow
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.ExposureEstimator
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.IndexedValue
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.Numeraire
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.Option
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.ProductCollection
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.components.Selector
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.AccruedInterest
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelForwardCurveIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.CappedFlooredIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.DateIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.FixedCoupon
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.ForwardCurveIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.LaggedIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.LIBORIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.MaxIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.MinIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.PerformanceIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.PowIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.ProductIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.TimeDiscreteEndOfMonthIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.TriggerIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.indices.UnsupportedIndex
 
queryUnderlyings() - Method in class net.finmath.montecarlo.interestrate.products.Portfolio
 
quotingConvention - Variable in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
quotingConvention - Variable in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 

R

RandomNumberGenerator - Interface in net.finmath.randomnumbers
Interface for an n-dimensional random number generator generating a sequence of vectors sampling the space [0,1]^{n}
RandomVariable - Class in net.finmath.montecarlo
The class RandomVariable represents a random variable being the evaluation of a stochastic process at a certain time within a Monte-Carlo simulation.
RandomVariable(RandomVariableInterface) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a random variable from a given other implementation of RandomVariableInterface.
RandomVariable(double) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a non stochastic random variable, i.e. a constant.
RandomVariable(RandomVariableInterface, DoubleUnaryOperator) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a random variable by applying a function to a given other implementation of RandomVariableInterface.
RandomVariable(double, double, int) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a non stochastic random variable, i.e. a constant.
RandomVariable(double, double) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a non stochastic random variable, i.e. a constant.
RandomVariable(double, int, double) - Constructor for class net.finmath.montecarlo.RandomVariable
Deprecated.
RandomVariable(double, double[], int) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a stochastic random variable.
RandomVariable(double, double[]) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a stochastic random variable.
RandomVariable(double, IntToDoubleFunction, int, int) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a stochastic random variable.
RandomVariable(double, IntToDoubleFunction, int) - Constructor for class net.finmath.montecarlo.RandomVariable
Create a stochastic random variable.
RandomVariableAccumulatorInterface - Interface in net.finmath.stochastic
The interface implemented by a mutable random variable accumulator.
RandomVariableDifferentiableAAD - Class in net.finmath.montecarlo.automaticdifferentiation.backward
Implementation of RandomVariableDifferentiableInterface using the backward algorithmic differentiation (adjoint algorithmic differentiation, AAD).
RandomVariableDifferentiableAAD(double) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
RandomVariableDifferentiableAAD(RandomVariableInterface) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
RandomVariableDifferentiableAAD(RandomVariableInterface, RandomVariableDifferentiableAADFactory) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
RandomVariableDifferentiableAAD(RandomVariableInterface, List<RandomVariableInterface>, ConditionalExpectationEstimatorInterface, RandomVariableDifferentiableAAD.OperatorType, RandomVariableDifferentiableAADFactory) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
RandomVariableDifferentiableAAD(RandomVariableInterface, List<RandomVariableInterface>, ConditionalExpectationEstimatorInterface, RandomVariableDifferentiableAAD.OperatorType, RandomVariableDifferentiableAADFactory, int) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
RandomVariableDifferentiableAADFactory - Class in net.finmath.montecarlo.automaticdifferentiation.backward
 
RandomVariableDifferentiableAADFactory(AbstractRandomVariableFactory, Map<String, Object>) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory
 
RandomVariableDifferentiableAADFactory(AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory
 
RandomVariableDifferentiableAADFactory() - Constructor for class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory
 
RandomVariableDifferentiableAD - Class in net.finmath.montecarlo.automaticdifferentiation.forward
Implementation of RandomVariableDifferentiableInterface using the forward algorithmic differentiation (AD).
RandomVariableDifferentiableAD(double) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
RandomVariableDifferentiableAD(double, double[]) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
RandomVariableDifferentiableAD(RandomVariableInterface) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
RandomVariableDifferentiableAD(RandomVariableInterface, List<RandomVariableInterface>, ConditionalExpectationEstimatorInterface, RandomVariableDifferentiableAD.OperatorType) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
RandomVariableDifferentiableAD(RandomVariableInterface, List<RandomVariableInterface>, ConditionalExpectationEstimatorInterface, RandomVariableDifferentiableAD.OperatorType, int) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
RandomVariableDifferentiableADFactory - Class in net.finmath.montecarlo.automaticdifferentiation.forward
 
RandomVariableDifferentiableADFactory() - Constructor for class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableADFactory
 
RandomVariableDifferentiableADFactory(AbstractRandomVariableFactory) - Constructor for class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableADFactory
 
RandomVariableDifferentiableInterface - Interface in net.finmath.montecarlo.automaticdifferentiation
Interface providing additional methods for random variable implementing RandomVariableInterface allowing automatic differentiation.
RandomVariableFactory - Class in net.finmath.montecarlo
A factory (helper class) to create random variables.
RandomVariableFactory() - Constructor for class net.finmath.montecarlo.RandomVariableFactory
 
RandomVariableFactory(boolean) - Constructor for class net.finmath.montecarlo.RandomVariableFactory
 
RandomVariableInterface - Interface in net.finmath.stochastic
This interface describes the methods implemented by an immutable random variable, i.e.
RandomVariableLazyEvaluation - Class in net.finmath.montecarlo
Implements a Monte-Carlo random variable (like RandomVariable using late evaluation of Java 8 streams Accesses performed exclusively through the interface RandomVariableInterface is thread safe (and does not mutate the class).
RandomVariableLazyEvaluation(RandomVariableInterface) - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluation
Create a random variable from a given other implementation of RandomVariableInterface.
RandomVariableLazyEvaluation(double) - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluation
Create a non stochastic random variable, i.e. a constant.
RandomVariableLazyEvaluation(RandomVariableInterface, DoubleUnaryOperator) - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluation
Create a random variable by applying a function to a given other implementation of RandomVariableInterface.
RandomVariableLazyEvaluation(double, double) - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluation
Create a non stochastic random variable, i.e. a constant.
RandomVariableLazyEvaluation(double, int, double) - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluation
Create a non stochastic random variable, i.e. a constant.
RandomVariableLazyEvaluation(double, double[]) - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluation
Create a stochastic random variable.
RandomVariableLazyEvaluation(double, IntToDoubleFunction, int) - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluation
Create a stochastic random variable.
RandomVariableLazyEvaluationFactory - Class in net.finmath.montecarlo
 
RandomVariableLazyEvaluationFactory() - Constructor for class net.finmath.montecarlo.RandomVariableLazyEvaluationFactory
 
RandomVariableLowMemory - Class in net.finmath.montecarlo
The class RandomVariable represents a random variable being the evaluation of a stochastic process at a certain time within a Monte-Carlo simulation.
RandomVariableLowMemory(RandomVariableInterface) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a random variable from a given other implementation of RandomVariableInterface.
RandomVariableLowMemory(double) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a non stochastic random variable, i.e. a constant.
RandomVariableLowMemory(RandomVariableInterface, DoubleUnaryOperator) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a random variable by applying a function to a given other implementation of RandomVariableInterface.
RandomVariableLowMemory(double, double, int) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a non stochastic random variable, i.e. a constant.
RandomVariableLowMemory(double, double) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a non stochastic random variable, i.e. a constant.
RandomVariableLowMemory(double, float[]) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a non stochastic random variable, i.e. a constant.
RandomVariableLowMemory(double, int, double) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Deprecated.
RandomVariableLowMemory(double, float[], int) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a stochastic random variable.
RandomVariableLowMemory(double, double[]) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a stochastic random variable.
RandomVariableLowMemory(double, IntToDoubleFunction, int, int) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a stochastic random variable.
RandomVariableLowMemory(double, IntToDoubleFunction, int) - Constructor for class net.finmath.montecarlo.RandomVariableLowMemory
Create a stochastic random variable.
RationalFunctionInterpolation - Class in net.finmath.analytic.interpolation
This class provides methodologies to interpolate given sample points by rational functions, that is, given interpolation points (xi,yi) the class provides a continuous function y = f(x) where f(xi) = yi and for xi < x < xi+1 the function is a fraction of two polynomes f(x) = (sum aj xj) / (sum bk xk).
RationalFunctionInterpolation(double[], RandomVariableInterface[]) - Constructor for class net.finmath.analytic.interpolation.RationalFunctionInterpolation
Generate a rational function interpolation from a given set of points.
RationalFunctionInterpolation(double[], RandomVariableInterface[], RationalFunctionInterpolation.InterpolationMethod, RationalFunctionInterpolation.ExtrapolationMethod) - Constructor for class net.finmath.analytic.interpolation.RationalFunctionInterpolation
Generate a rational function interpolation from a given set of points using the specified interpolation and extrapolation method.
RationalFunctionInterpolation - Class in net.finmath.interpolation
This class provides methodologies to interpolate given sample points by rational functions, that is, given interpolation points (xi,yi) the class provides a continuous function y = f(x) where f(xi) = yi and for xi < x < xi+1 the function is a fraction of two polynomes f(x) = (sum aj xj) / (sum bk xk).
RationalFunctionInterpolation(double[], double[]) - Constructor for class net.finmath.interpolation.RationalFunctionInterpolation
Generate a rational function interpolation from a given set of points.
RationalFunctionInterpolation(double[], double[], RationalFunctionInterpolation.InterpolationMethod, RationalFunctionInterpolation.ExtrapolationMethod) - Constructor for class net.finmath.interpolation.RationalFunctionInterpolation
Generate a rational function interpolation from a given set of points using the specified interpolation and extrapolation method.
RationalFunctionInterpolation.ExtrapolationMethod - Enum in net.finmath.analytic.interpolation
 
RationalFunctionInterpolation.ExtrapolationMethod - Enum in net.finmath.interpolation
 
RationalFunctionInterpolation.InterpolationMethod - Enum in net.finmath.analytic.interpolation
 
RationalFunctionInterpolation.InterpolationMethod - Enum in net.finmath.interpolation
 
RealIntegralInterface - Interface in net.finmath.integration
Interface for real integral.
RegressionBasisFunctionsFromProducts - Class in net.finmath.montecarlo.conditionalexpectation
An implementation of an RegressionBasisFunctionsProvider using a list of AbstractMonteCarloProduct-s.
RegressionBasisFunctionsFromProducts(List<AbstractMonteCarloProduct>) - Constructor for class net.finmath.montecarlo.conditionalexpectation.RegressionBasisFunctionsFromProducts
 
RegressionBasisFunctionsGiven(RandomVariableInterface[]) - Constructor for class net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression.RegressionBasisFunctionsGiven
 
RegressionBasisFunctionsProvider - Interface in net.finmath.montecarlo.conditionalexpectation
Interfaces for object providing regression basis functions.
RegularSchedule - Class in net.finmath.time
Simple schedule generated from TimeDiscretizationInterface
RegularSchedule(TimeDiscretizationInterface) - Constructor for class net.finmath.time.RegularSchedule
Create a schedule from a time discretization.
remove(E) - Method in class net.finmath.analytic.calibration.ParameterAggregation
Remove an object from this parameterization.
remove(E) - Method in class net.finmath.marketdata.calibration.ParameterAggregation
Remove an object from this parameterization.
RombergRealIntegration - Class in net.finmath.integration
Implements a Romberg integrator.
RombergRealIntegration(double, double, int) - Constructor for class net.finmath.integration.RombergRealIntegration
Create a Romberg integrator.
run() - Method in class net.finmath.optimizer.LevenbergMarquardt
 
run() - Method in interface net.finmath.optimizer.OptimizerInterface
Runs the optimization.
run() - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
run() - Method in interface net.finmath.optimizer.StochasticOptimizerInterface
Runs the optimization.
run() - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 

S

sabrAlphaApproximation(double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Return the parameter alpha (initial value of the stochastic vol process) of a SABR model using the to match the given at-the-money volatility.
sabrBerestyckiNormalVolatilityApproximation(double, double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Return the implied normal volatility (Bachelier volatility) under a SABR model using the approximation of Berestycki.
sabrCalibrateParameterForImpliedNormalVols(double, double, double[], double[]) - Static method in class net.finmath.functions.SABRModel
 
sabrCalibrateParameterForImpliedNormalVols(double, double, double[], double[], double[], double[]) - Static method in class net.finmath.functions.SABRModel
 
sabrCalibrateParameterForImpliedNormalVols(double, double, double[], double[], double[], double[], double[], double[]) - Static method in class net.finmath.functions.SABRModel
 
sabrHaganLognormalBlackVolatilityApproximation(double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculated the approximation to the lognormal Black volatility using the standard SABR model and the standard Hagan approximation.
sabrHaganLognormalBlackVolatilityApproximation(double, double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Calculated the approximation to the lognormal Black volatility using the standard SABR model and the standard Hagan approximation.
SABRModel - Class in net.finmath.functions
 
sabrNormalVolatilityApproximation(double, double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Return the implied normal volatility (Bachelier volatility) under a SABR model using the approximation of Hagan.
sabrNormalVolatilityCurvatureApproximation(double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Return the curvature of the implied normal volatility (Bachelier volatility) under a SABR model using the approximation of Berestycki.
sabrNormalVolatilitySkewApproximation(double, double, double, double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Return the skew of the implied normal volatility (Bachelier volatility) under a SABR model using the approximation of Berestycki.
Scalar - Class in net.finmath.stochastic
A scalar value implementing the RandomVariableInterface.
Scalar(double) - Constructor for class net.finmath.stochastic.Scalar
 
Schedule - Class in net.finmath.time
A schedule of interest rate periods with a fixing and payment.
Schedule(LocalDate, DayCountConventionInterface, Period...) - Constructor for class net.finmath.time.Schedule
 
Schedule(LocalDate, List<Period>, DayCountConventionInterface) - Constructor for class net.finmath.time.Schedule
 
ScheduleGenerator - Class in net.finmath.time
Generates a schedule based on some meta data (frequency, maturity, date roll convention, etc.).
ScheduleGenerator.DaycountConvention - Enum in net.finmath.time
Possible day count conventions supported by ScheduleGenerator.DaycountConvention.
ScheduleGenerator.Frequency - Enum in net.finmath.time
Possible frequencies supported by ScheduleGenerator.
ScheduleGenerator.ShortPeriodConvention - Enum in net.finmath.time
Possible stub period conventions supported.
ScheduleInterface - Interface in net.finmath.time
Interface of a schedule of interest rate periods with a fixing and payment.
SeasonalCurve - Class in net.finmath.marketdata.model.curves
The curve returns a value depending on the month of the time argument, that is, a call getValue(model, time) will map time to a 30/360 value using the day and month only and delegate the call to a given base curve.
SeasonalCurve(String, LocalDate, Map<LocalDate, Double>, int) - Constructor for class net.finmath.marketdata.model.curves.SeasonalCurve
Create a monthly seasonality adjustment curve by estimating historic log-returns from monthly index fixings.
SeasonalCurve(String, LocalDate, CurveInterface) - Constructor for class net.finmath.marketdata.model.curves.SeasonalCurve
 
SeasonalCurve.CurveBuilder - Class in net.finmath.marketdata.model.curves
A builder (following the builder pattern) for SeasonalCurve objects.
Selector - Class in net.finmath.montecarlo.interestrate.products.components
A selection of a value on another component.
Selector(String, AbstractLIBORMonteCarloProduct) - Constructor for class net.finmath.montecarlo.interestrate.products.components.Selector
Creates the function underlying.getValues()[key]
setAdmissibleValues(double[]) - Method in class net.finmath.swing.JNumberField
 
setAdmissibleValues(TimeDiscretizationInterface) - Method in class net.finmath.swing.JNumberField
 
setBrownianMotion(BrownianMotionInterface) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
A derived class may change the Brownian motion.
setCurve(CurveInterface) - Method in class net.finmath.analytic.model.AnalyticModel
Deprecated.
This class will become immutable. Use addCurve instead.
setCurve(CurveInterface) - Method in interface net.finmath.analytic.model.AnalyticModelInterface
Deprecated.
setCurve(CurveInterface) - Method in class net.finmath.marketdata.model.AnalyticModel
Deprecated.
This class will become immutable. Use addCurve instead.
setCurve(CurveInterface) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Deprecated.
setCurves(CurveInterface[]) - Method in class net.finmath.analytic.model.AnalyticModel
Deprecated.
This class will become immutable. Use addCurve instead.
setCurves(CurveInterface[]) - Method in class net.finmath.marketdata.model.AnalyticModel
Deprecated.
This class will become immutable. Use addCurve instead.
setDerivatives(double[], double[][]) - Method in class net.finmath.optimizer.LevenbergMarquardt
The derivative of the objective function.
setDerivatives(RandomVariableInterface[], RandomVariableInterface[][]) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
The derivative of the objective function.
setDerivatives(RandomVariableInterface[], RandomVariableInterface[][]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
The derivative of the objective function.
setDriftApproximationMethod(LIBORMarketModelStandard.Driftapproximation) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
setErrorMeanSquaredCurrent(double) - Method in class net.finmath.optimizer.LevenbergMarquardt
 
setErrorMeanSquaredCurrent(double) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
 
setErrorMeanSquaredCurrent(RandomVariableInterface) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
 
setErrorTolerance(double) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the error tolerance.
setExtrapolationMethod(Curve.ExtrapolationMethod) - Method in class net.finmath.analytic.model.curves.Curve.CurveBuilder
Set the extrapolation method of the curve.
setExtrapolationMethod(Curve.ExtrapolationMethod) - Method in class net.finmath.marketdata.model.curves.Curve.CurveBuilder
Set the extrapolation method of the curve.
setFromat(String) - Method in class net.finmath.swing.JNumberField
 
setInitialParameters(double[]) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the initial parameters for the solver.
setInterpolationEntity(Curve.InterpolationEntity) - Method in class net.finmath.analytic.model.curves.Curve.CurveBuilder
Set the interpolationEntity of the curve.
setInterpolationEntity(Curve.InterpolationEntity) - Method in class net.finmath.marketdata.model.curves.Curve.CurveBuilder
Set the interpolationEntity of the curve.
setInterpolationMethod(Curve.InterpolationMethod) - Method in class net.finmath.analytic.model.curves.Curve.CurveBuilder
Set the interpolation method of the curve.
setInterpolationMethod(Curve.InterpolationMethod) - Method in class net.finmath.marketdata.model.curves.Curve.CurveBuilder
Set the interpolation method of the curve.
setLambda(double) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the parameter λ used in the Tikhonov-like regularization of the Hessian matrix, that is the \( \lambda \) in \( H + \lambda \diag H \).
setLambda(double) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Set the parameter λ used in the Tikhonov-like regularization of the Hessian matrix, that is the \( \lambda \) in \( H + \lambda \diag H \).
setLambda(double[]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Set the parameter λ used in the Tikhonov-like regularization of the Hessian matrix, that is the \( \lambda \) in \( H + \lambda \diag H \).
setLambdaDivisor(double) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the divisor applied to lambda (for the next iteration) if the inversion of regularized Hessian succeeds, that is, if \( H + \lambda \diag H \) is invertable.
setLambdaDivisor(double) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Set the divisor applied to lambda (for the next iteration) if the inversion of regularized Hessian succeeds, that is, if \( H + \lambda \diag H \) is invertable.
setLambdaDivisor(double) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Set the divisor applied to lambda (for the next iteration) if the inversion of regularized Hessian succeeds, that is, if \( H + \lambda \diag H \) is invertable.
setLambdaMultiplicator(double) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the multiplicator applied to lambda if the inversion of regularized Hessian fails, that is, if \( H + \lambda \diag H \) is not invertable.
setLambdaMultiplicator(double) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
Set the multiplicator applied to lambda if the inversion of regularized Hessian fails, that is, if \( H + \lambda \diag H \) is not invertable.
setLambdaMultiplicator(double) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Set the multiplicator applied to lambda if the inversion of regularized Hessian fails, that is, if \( H + \lambda \diag H \) is not invertable.
setMaturity(double) - Method in class net.finmath.montecarlo.interestrate.products.Bond
 
setMaxIteration(int) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the maximum number of iterations to be performed until the solver gives up.
setMeasure(LIBORMarketModelStandard.Measure) - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelStandard
 
setModel(AbstractModelInterface) - Method in class net.finmath.montecarlo.process.AbstractProcess
 
setModel(AbstractModelInterface) - Method in interface net.finmath.montecarlo.process.AbstractProcessInterface
Sets the model to be used.
setParameter(RandomVariableInterface[]) - Method in class net.finmath.analytic.calibration.ParameterAggregation
 
setParameter(RandomVariableInterface[]) - Method in interface net.finmath.analytic.calibration.ParameterObjectInterface
Deprecated.
setParameter(RandomVariableInterface[]) - Method in class net.finmath.analytic.model.curves.Curve
 
setParameter(RandomVariableInterface[]) - Method in class net.finmath.analytic.model.curves.DiscountCurveFromForwardCurve
 
setParameter(double[]) - Method in class net.finmath.marketdata.calibration.ParameterAggregation
 
setParameter(double[]) - Method in interface net.finmath.marketdata.calibration.ParameterObjectInterface
Deprecated.
setParameter(double[]) - Method in class net.finmath.marketdata.model.bond.BondCurve
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.Curve
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.CurveFromProductOfCurves
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromForwardCurve
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurveFromProductOfCurves
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
Deprecated.
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.DiscountCurveRenormalized
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.ForwardCurveNelsonSiegelSvensson
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.IndexCurveFromDiscountCurve
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.curves.SeasonalCurve
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametric
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricDisplacedFourParameterAnalytic
 
setParameter(double[]) - Method in class net.finmath.marketdata.model.volatilities.CapletVolatilitiesParametricFourParameterPicewiseConstant
 
setParameter(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModel
 
setParameter(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFourParameterExponentialForm
 
setParameter(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelFromGivenMatrix
 
setParameter(RandomVariableInterface[]) - Method in class net.finmath.montecarlo.interestrate.covariancemodels.LIBORVolatilityModelPiecewiseConstant
 
setParameterSteps(double[]) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the parameter step for the solver.
setPreferedValueIncrement(double) - Method in class net.finmath.swing.JNumberField
 
setProcess(AbstractProcessInterface) - Method in class net.finmath.montecarlo.model.AbstractModel
 
setProcess(AbstractProcessInterface) - Method in interface net.finmath.montecarlo.model.AbstractModelInterface
Set the numerical scheme used to generate the stochastic process.
setRange(double, double) - Method in class net.finmath.swing.JNumberField
 
setScheme(LogNormalProcess.Scheme) - Method in class net.finmath.montecarlo.templatemethoddesign.LogNormalProcess
 
setTargetValues(double[]) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the target values for the solver.
setValue(double) - Method in class net.finmath.optimizer.GoldenSectionSearch
Set the value corresponding to the point returned by a previous call of getNextPoint().
setValue(double) - Method in class net.finmath.swing.JNumberField
 
setValues(double[], double[]) - Method in class net.finmath.optimizer.LevenbergMarquardt
The objective function.
setValues(double[], double[]) - Method in interface net.finmath.optimizer.OptimizerInterface.ObjectiveFunction
 
setValues(RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticLevenbergMarquardt
The objective function.
setValues(RandomVariableInterface[], RandomVariableInterface[]) - Method in interface net.finmath.optimizer.StochasticOptimizerInterface.ObjectiveFunction
 
setValues(RandomVariableInterface[], RandomVariableInterface[]) - Method in class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
The objective function.
setVolatilitySurface(VolatilitySurfaceInterface) - Method in class net.finmath.marketdata.model.AnalyticModel
Deprecated.
This class will become immutable. Use addVolatilitySurface instead.
setVolatilitySurface(VolatilitySurfaceInterface) - Method in interface net.finmath.marketdata.model.AnalyticModelInterface
Deprecated.
setWeights(double[]) - Method in class net.finmath.optimizer.LevenbergMarquardt
Set the weight for the objective function.
ShortRateVolailityModelInterface - Interface in net.finmath.montecarlo.interestrate.modelplugins
Interface for piecewise constant short rate volatility models with piecewise constant instantaneous short rate volatility \( t \mapsto \sigma(t) \) and piecewise constant short rate mean reversion speed \( t \mapsto a(t) \).
ShortRateVolatilityModel - Class in net.finmath.montecarlo.interestrate.modelplugins
 
ShortRateVolatilityModel(TimeDiscretizationInterface, double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModel
 
ShortRateVolatilityModelHoLee - Class in net.finmath.montecarlo.interestrate.modelplugins
 
ShortRateVolatilityModelHoLee(double) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.ShortRateVolatilityModelHoLee
 
SimpleCappedFlooredFloatingRateBond - Class in net.finmath.montecarlo.interestrate.products
 
SimpleCappedFlooredFloatingRateBond(String, double[], double[], double[], double[], double[], double) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleCappedFlooredFloatingRateBond
 
SimpleHistroricalSimulation - Class in net.finmath.timeseries.models.parametric
Implementation of standard historical simulation.
SimpleHistroricalSimulation(double[]) - Constructor for class net.finmath.timeseries.models.parametric.SimpleHistroricalSimulation
 
SimpleHistroricalSimulation(double[], int, int) - Constructor for class net.finmath.timeseries.models.parametric.SimpleHistroricalSimulation
 
SimpleSwap - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a swap under a LIBORModelMonteCarloSimulationInterface
SimpleSwap(double[], double[], double[], boolean, double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleSwap
Create a swap.
SimpleSwap(double[], double[], double[], boolean, double) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleSwap
Create a swap.
SimpleSwap(double[], double[], double[], double) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleSwap
Create a swap.
SimpleSwap(double[], double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleSwap
Create a swap.
SimpleSwap(double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleSwap
Deprecated. 
SimpleZeroSwap - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a zero swap under a LIBORModelMonteCarloSimulationInterface.
SimpleZeroSwap(double[], double[], double[], AbstractIndex, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleZeroSwap
Create a swap.
SimpleZeroSwap(double[], double[], double[], boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleZeroSwap
Create a swap.
SimpleZeroSwap(double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SimpleZeroSwap
Create a swap.
SimpsonRealIntegrator - Class in net.finmath.integration
A simple integrator using Simpson's rule.
SimpsonRealIntegrator(double, double, int, boolean) - Constructor for class net.finmath.integration.SimpsonRealIntegrator
Create an integrator using Simpson's rule.
SimpsonRealIntegrator(double, double, int) - Constructor for class net.finmath.integration.SimpsonRealIntegrator
Create an integrator using Simpson's rule.
sin() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
sin() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
sin() - Method in class net.finmath.montecarlo.RandomVariable
 
sin() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
sin() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
sin() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → sin(x) to this random variable.
sin() - Method in class net.finmath.stochastic.Scalar
 
SingleAssetDigitalOptionProductDescriptor - Class in net.finmath.modelling.descriptor
Describes a European digital option.
SingleAssetDigitalOptionProductDescriptor(String, Double, Double) - Constructor for class net.finmath.modelling.descriptor.SingleAssetDigitalOptionProductDescriptor
 
SingleAssetEuropeanOptionMonteCarloProductFactory - Class in net.finmath.modelling.productfactory
 
SingleAssetEuropeanOptionMonteCarloProductFactory() - Constructor for class net.finmath.modelling.productfactory.SingleAssetEuropeanOptionMonteCarloProductFactory
Create factory.
SingleAssetEuropeanOptionProductDescriptor - Class in net.finmath.modelling.descriptor
Describes a European option.
SingleAssetEuropeanOptionProductDescriptor(String, Double, Double) - Constructor for class net.finmath.modelling.descriptor.SingleAssetEuropeanOptionProductDescriptor
 
SingleAssetFourierProductFactory - Class in net.finmath.modelling.productfactory
 
SingleAssetFourierProductFactory() - Constructor for class net.finmath.modelling.productfactory.SingleAssetFourierProductFactory
Create factory.
SingleAssetMonteCarloProductFactory - Class in net.finmath.modelling.productfactory
 
SingleAssetMonteCarloProductFactory() - Constructor for class net.finmath.modelling.productfactory.SingleAssetMonteCarloProductFactory
 
SingleAssetProductDescriptor - Interface in net.finmath.modelling
Interface for a product descriptor.
size() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
size() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
size() - Method in class net.finmath.montecarlo.RandomVariable
 
size() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
size() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
size() - Method in interface net.finmath.stochastic.RandomVariableInterface
Returns the number of paths or states.
size() - Method in class net.finmath.stochastic.Scalar
 
solve() - Method in class net.finmath.finitedifference.experimental.BlackScholesTheta
 
solveLinearEquation(double[][], double[]) - Static method in class net.finmath.functions.LinearAlgebra
Find a solution of the linear equation A x = b where A is an n x m - matrix given as double[n][m] b is an m - vector given as double[m], x is an n - vector given as double[n],
solveLinearEquationLeastSquare(double[][], double[]) - Static method in class net.finmath.functions.LinearAlgebra
Find a solution of the linear equation A x = b in the least square sense where A is an n x m - matrix given as double[n][m] b is an m - vector given as double[m], x is an n - vector given as double[n],
solveLinearEquationSymmetric(double[][], double[]) - Static method in class net.finmath.functions.LinearAlgebra
Find a solution of the linear equation A x = b where A is an symmetric n x n - matrix given as double[n][n] b is an n - vector given as double[n], x is an n - vector given as double[n],
Solver - Class in net.finmath.analytic.calibration
Generates a calibrated model for a given set of calibrationProducts with respect to given Curves.
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, ParameterTransformation, double, StochasticOptimizerFactoryInterface) - Constructor for class net.finmath.analytic.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, ParameterTransformation, double, double) - Constructor for class net.finmath.analytic.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, double, double) - Constructor for class net.finmath.analytic.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, double, double) - Constructor for class net.finmath.analytic.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>) - Constructor for class net.finmath.analytic.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver - Class in net.finmath.marketdata.calibration
Generates a calibrated model for a given set of calibrationProducts with respect to given Curves.
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, ParameterTransformation, double, OptimizerFactoryInterface) - Constructor for class net.finmath.marketdata.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, ParameterTransformation, double, double) - Constructor for class net.finmath.marketdata.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, List<Double>, double, double) - Constructor for class net.finmath.marketdata.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>, double, double) - Constructor for class net.finmath.marketdata.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
Solver(AnalyticModelInterface, Vector<AnalyticProductInterface>) - Constructor for class net.finmath.marketdata.calibration.Solver
Generate a solver for the given parameter objects (independents) and objective functions (dependents).
SolverException - Exception in net.finmath.optimizer
Exception thrown by solvers net.finmath.rootfinder or net.finmath.optimizer.
SolverException(String) - Constructor for exception net.finmath.optimizer.SolverException
Create an exception with error message.
SolverException(Throwable) - Constructor for exception net.finmath.optimizer.SolverException
Create an exception from another exception.
SolverException(String, Throwable) - Constructor for exception net.finmath.optimizer.SolverException
Create an exception from another exception with error message.
sqrt() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
sqrt() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
sqrt() - Method in class net.finmath.montecarlo.RandomVariable
 
sqrt() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
sqrt() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
sqrt() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → sqrt(x) to this random variable.
sqrt() - Method in class net.finmath.stochastic.Scalar
 
squared() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
squared() - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
squared() - Method in class net.finmath.montecarlo.RandomVariable
 
squared() - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
squared() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
squared() - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x * x to this random variable.
squared() - Method in class net.finmath.stochastic.Scalar
 
StochasticLevenbergMarquardt - Class in net.finmath.optimizer
This class implements a stochastic Levenberg Marquardt non-linear least-squares fit algorithm.
StochasticLevenbergMarquardt(StochasticLevenbergMarquardt.RegularizationMethod, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], int, double, ExecutorService) - Constructor for class net.finmath.optimizer.StochasticLevenbergMarquardt
Create a Levenberg-Marquardt solver.
StochasticLevenbergMarquardt(RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], int, double, ExecutorService) - Constructor for class net.finmath.optimizer.StochasticLevenbergMarquardt
Create a Levenberg-Marquardt solver.
StochasticLevenbergMarquardt.RegularizationMethod - Enum in net.finmath.optimizer
The regularization method used to invert the approximation of the Hessian matrix.
StochasticLevenbergMarquardtAD - Class in net.finmath.optimizer
This class implements a stochastic Levenberg Marquardt non-linear least-squares fit algorithm.
StochasticLevenbergMarquardtAD(StochasticLevenbergMarquardt.RegularizationMethod, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], int, double, ExecutorService, boolean) - Constructor for class net.finmath.optimizer.StochasticLevenbergMarquardtAD
 
StochasticLevenbergMarquardtAD(StochasticLevenbergMarquardt.RegularizationMethod, RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], int, double, ExecutorService) - Constructor for class net.finmath.optimizer.StochasticLevenbergMarquardtAD
 
StochasticOptimizerFactoryInterface - Interface in net.finmath.optimizer
 
StochasticOptimizerFactoryLevenbergMarquardtAD - Class in net.finmath.optimizer
 
StochasticOptimizerFactoryLevenbergMarquardtAD(int, double, int) - Constructor for class net.finmath.optimizer.StochasticOptimizerFactoryLevenbergMarquardtAD
 
StochasticOptimizerFactoryLevenbergMarquardtAD(int, int) - Constructor for class net.finmath.optimizer.StochasticOptimizerFactoryLevenbergMarquardtAD
 
StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD - Class in net.finmath.optimizer
 
StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD(int, RandomVariableInterface, int) - Constructor for class net.finmath.optimizer.StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD
 
StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD(int, int) - Constructor for class net.finmath.optimizer.StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD
 
StochasticOptimizerInterface - Interface in net.finmath.optimizer
 
StochasticOptimizerInterface.ObjectiveFunction - Interface in net.finmath.optimizer
The interface describing the objective function of a StochasticOptimizerInterface.
StochasticPathwiseLevenbergMarquardt - Class in net.finmath.optimizer
This class implements a stochastic Levenberg Marquardt non-linear least-squares fit algorithm.
StochasticPathwiseLevenbergMarquardt(RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], int, RandomVariableInterface, ExecutorService) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Create a Levenberg-Marquardt solver.
StochasticPathwiseLevenbergMarquardt(RandomVariableInterface[], RandomVariableInterface[], int, int) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Create a Levenberg-Marquardt solver.
StochasticPathwiseLevenbergMarquardt(List<RandomVariableInterface>, List<RandomVariableInterface>, int, ExecutorService) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Create a Levenberg-Marquardt solver.
StochasticPathwiseLevenbergMarquardt(List<RandomVariableInterface>, List<RandomVariableInterface>, int, int) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardt
Create a Levenberg-Marquardt solver.
StochasticPathwiseLevenbergMarquardtAD - Class in net.finmath.optimizer
This class implements a stochastic Levenberg Marquardt non-linear least-squares fit algorithm.
StochasticPathwiseLevenbergMarquardtAD(List<RandomVariableInterface>, List<RandomVariableInterface>, int, ExecutorService) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardtAD
 
StochasticPathwiseLevenbergMarquardtAD(List<RandomVariableInterface>, List<RandomVariableInterface>, int, int) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardtAD
 
StochasticPathwiseLevenbergMarquardtAD(RandomVariableInterface[], RandomVariableInterface[], int, int) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardtAD
 
StochasticPathwiseLevenbergMarquardtAD(RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], RandomVariableInterface[], int, RandomVariableInterface, ExecutorService) - Constructor for class net.finmath.optimizer.StochasticPathwiseLevenbergMarquardtAD
 
StochasticPathwiseOptimizerFactoryLevenbergMarquardt - Class in net.finmath.optimizer
 
StochasticPathwiseOptimizerFactoryLevenbergMarquardt(int, double, int) - Constructor for class net.finmath.optimizer.StochasticPathwiseOptimizerFactoryLevenbergMarquardt
 
StochasticPathwiseOptimizerFactoryLevenbergMarquardt(int, int) - Constructor for class net.finmath.optimizer.StochasticPathwiseOptimizerFactoryLevenbergMarquardt
 
sub(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
sub(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
sub(double) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
sub(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
sub(double) - Method in class net.finmath.montecarlo.RandomVariable
 
sub(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
sub(double) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
sub(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
sub(double) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
sub(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
sub(double) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x - value to this random variable.
sub(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x-randomVariable to this random variable.
sub(double) - Method in class net.finmath.stochastic.Scalar
 
sub(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
subRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
subRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
subRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
subRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
subRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
subRatio(RandomVariableInterface, RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → x - numerator / denominator
subRatio(RandomVariableInterface, RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
Swap - Class in net.finmath.analytic.products
Implements the valuation of a swap using curves (discount curve, forward curve).
Swap(AnalyticProductInterface, AnalyticProductInterface) - Constructor for class net.finmath.analytic.products.Swap
Create a swap which values as legReceiver - legPayer.
Swap(ScheduleInterface, String, double, String, ScheduleInterface, String, double, String, boolean) - Constructor for class net.finmath.analytic.products.Swap
Creates a swap with notional exchange.
Swap(ScheduleInterface, String, double, String, ScheduleInterface, String, double, String) - Constructor for class net.finmath.analytic.products.Swap
Creates a swap with notional exchange.
Swap - Class in net.finmath.marketdata.products
Implements the valuation of a swap using curves (discount curve, forward curve).
Swap(AnalyticProductInterface, AnalyticProductInterface) - Constructor for class net.finmath.marketdata.products.Swap
Create a swap which values as legReceiver - legPayer.
Swap(ScheduleInterface, String, double, String, ScheduleInterface, String, double, String, boolean) - Constructor for class net.finmath.marketdata.products.Swap
Creates a swap with notional exchange.
Swap(ScheduleInterface, String, double, String, ScheduleInterface, String, double, String) - Constructor for class net.finmath.marketdata.products.Swap
Creates a swap with notional exchange.
Swap(ScheduleInterface, double, String, ScheduleInterface, String, String) - Constructor for class net.finmath.marketdata.products.Swap
Creates a swap with notional exchange.
Swap - Class in net.finmath.montecarlo.interestrate.products
Create a swap from schedules, notional, indices and spreads (fixed coupons).
Swap(AbstractLIBORMonteCarloProduct, AbstractLIBORMonteCarloProduct) - Constructor for class net.finmath.montecarlo.interestrate.products.Swap
Create a swap which values as legReceiver - legPayer.
Swap(AbstractNotional, ScheduleInterface, AbstractIndex, double, ScheduleInterface, AbstractIndex, double) - Constructor for class net.finmath.montecarlo.interestrate.products.Swap
Create a swap from schedules, notional, indices and spreads (fixed coupons).
Swap(double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.Swap
Deprecated.
This constructor is deprecated. If you like to create a payer swap from fixingDates, paymentDates and swaprates use SimpleSwap.
SwapAnnuity - Class in net.finmath.analytic.products
Implements the valuation of a swap annuity using curves (discount curve).
SwapAnnuity(ScheduleInterface, String) - Constructor for class net.finmath.analytic.products.SwapAnnuity
Creates a swap annuity for a given schedule and discount curve.
SwapAnnuity - Class in net.finmath.marketdata.products
Implements the valuation of a swap annuity using curves (discount curve).
SwapAnnuity(ScheduleInterface, String) - Constructor for class net.finmath.marketdata.products.SwapAnnuity
Creates a swap annuity for a given schedule and discount curve.
SwapLeg - Class in net.finmath.analytic.products
Implements the valuation of a swap leg with unit notional of 1 using curves (discount curve, forward curve).
SwapLeg(ScheduleInterface, String, double, String, String, boolean) - Constructor for class net.finmath.analytic.products.SwapLeg
Creates a swap leg.
SwapLeg(ScheduleInterface, String, double, String, boolean) - Constructor for class net.finmath.analytic.products.SwapLeg
Creates a swap leg without notional reset.
SwapLeg(ScheduleInterface, String, double, String) - Constructor for class net.finmath.analytic.products.SwapLeg
Creates a swap leg without notional reset and without notional exchange.
SwapLeg - Class in net.finmath.marketdata.products
Implements the valuation of a swap leg with unit notional of 1 using curves (discount curve, forward curve).
SwapLeg(ScheduleInterface, String, double, String, String, boolean) - Constructor for class net.finmath.marketdata.products.SwapLeg
Creates a swap leg.
SwapLeg(ScheduleInterface, String, double, String, boolean) - Constructor for class net.finmath.marketdata.products.SwapLeg
Creates a swap leg without notional reset.
SwapLeg(ScheduleInterface, String, double, String) - Constructor for class net.finmath.marketdata.products.SwapLeg
Creates a swap leg without notional reset and without notional exchange.
SwapLeg - Class in net.finmath.montecarlo.interestrate.products
 
SwapLeg(ScheduleInterface, AbstractNotional, AbstractIndex, double, boolean, boolean, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.SwapLeg
Creates a swap leg.
SwapLeg(ScheduleInterface, AbstractNotional, AbstractIndex, double, boolean) - Constructor for class net.finmath.montecarlo.interestrate.products.SwapLeg
Creates a swap leg.
SwapLeg(InterestRateSwapLegProductDescriptor) - Constructor for class net.finmath.montecarlo.interestrate.products.SwapLeg
 
SwaprateCovarianceAnalyticApproximation - Class in net.finmath.montecarlo.interestrate.products
This class implements an analytic approximation of the integrated instantaneous covariance of two swap rates under a LIBOR market model.
SwaprateCovarianceAnalyticApproximation(double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaprateCovarianceAnalyticApproximation
Create the product implementing the analytic approximation of a swap rate covariance in a forward rate model.
Swaption - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a swaption under a LIBORModelMonteCarloSimulationInterface Important: If the LIBOR Market Model is a multi-curve model in the sense that the numeraire is not calculated from the forward curve, then this valuation does assume that the basis deterministic.
Swaption(double, double[], double[], double[], double[], double) - Constructor for class net.finmath.montecarlo.interestrate.products.Swaption
Create a swaption.
Swaption(double, double[], double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.Swaption
Create a swaption.
Swaption(double, double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.Swaption
Create a swaption.
Swaption(double, TimeDiscretizationInterface, double) - Constructor for class net.finmath.montecarlo.interestrate.products.Swaption
Creates a swaption using a TimeDiscretization
SwaptionAnalyticApproximation - Class in net.finmath.montecarlo.interestrate.products
This class implements an analytic swaption valuation formula under a LIBOR market model.
SwaptionAnalyticApproximation(double, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionAnalyticApproximation(double, double[], SwaptionAnalyticApproximation.ValueUnit) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionAnalyticApproximation.ValueUnit - Enum in net.finmath.montecarlo.interestrate.products
 
SwaptionAnalyticApproximationRebonato - Class in net.finmath.montecarlo.interestrate.products
This class implements an analytic swaption valuation formula under a LIBOR market model.
SwaptionAnalyticApproximationRebonato(double, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionAnalyticApproximationRebonato(double, double[], SwaptionAnalyticApproximationRebonato.ValueUnit) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionAnalyticApproximationRebonato.ValueUnit - Enum in net.finmath.montecarlo.interestrate.products
 
SwaptionATM - Class in net.finmath.montecarlo.interestrate.products
A lightweight ATM swaption product used for calibration.
SwaptionATM(double[], SwaptionSimple.ValueUnit) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionATM
 
SwaptionFactory - Class in net.finmath.montecarlo.interestrate.products
A factory (helper class) to create swaptions extending AbstractLIBORMonteCarloProduct according to some (simplified) specifications.
SwaptionGeneralizedAnalyticApproximation - Class in net.finmath.montecarlo.interestrate.products
This class implements an analytic swaption valuation formula under a LIBOR market model.
SwaptionGeneralizedAnalyticApproximation(double, double[], SwaptionGeneralizedAnalyticApproximation.ValueUnit, SwaptionGeneralizedAnalyticApproximation.StateSpace) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionGeneralizedAnalyticApproximation(double, TimeDiscretizationInterface, SwaptionGeneralizedAnalyticApproximation.StateSpace) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionGeneralizedAnalyticApproximation.StateSpace - Enum in net.finmath.montecarlo.interestrate.products
 
SwaptionGeneralizedAnalyticApproximation.ValueUnit - Enum in net.finmath.montecarlo.interestrate.products
 
SwaptionMarketData - Class in net.finmath.marketdata.model.volatilities
Simple swaption market data class.
SwaptionMarketData(double[], double[], double, double[][]) - Constructor for class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
SwaptionMarketData(ForwardCurveInterface, DiscountCurveInterface, double[], double[], double, double[][]) - Constructor for class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
SwaptionMarketData(ForwardCurveInterface, DiscountCurveInterface, TimeDiscretizationInterface, TimeDiscretizationInterface, double, double[][]) - Constructor for class net.finmath.marketdata.model.volatilities.SwaptionMarketData
 
SwaptionSimple - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a simplified (idealized) swaption under a LIBORModelMonteCarloSimulationInterface
SwaptionSimple(double, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionSimple
Note: It is implicitly assumed that swapTenor[0] is the exercise date (no forward starting).
SwaptionSimple(double, double[], SwaptionSimple.ValueUnit) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionSimple
Note: It is implicitly assumed that swapTenor[0] is the exercise date (no forward starting).
SwaptionSimple.ValueUnit - Enum in net.finmath.montecarlo.interestrate.products
 
SwaptionSingleCurve - Class in net.finmath.montecarlo.interestrate.products
Implements the valuation of a swaption under a LIBORModelMonteCarloSimulationInterface Important: If the LIBOR Market Model is a multi-curve model in the sense that the numeraire is not calculated from the forward curve, then this valuation does not result in the valuation of a collaterlized option on a collateralized swap.
SwaptionSingleCurve(double, double[], double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurve
Create a swaption.
SwaptionSingleCurve(double, double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurve
Create a swaption.
SwaptionSingleCurve(double, TimeDiscretizationInterface, double) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurve
Creates a swaption using a TimeDiscretization
SwaptionSingleCurveAnalyticApproximation - Class in net.finmath.montecarlo.interestrate.products
This class implements an analytic swaption valuation formula under a LIBOR market model.
SwaptionSingleCurveAnalyticApproximation(double, TimeDiscretizationInterface) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionSingleCurveAnalyticApproximation(double, double[], SwaptionSingleCurveAnalyticApproximation.ValueUnit) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation
Create an analytic swaption approximation product for log normal forward rate model.
SwaptionSingleCurveAnalyticApproximation.ValueUnit - Enum in net.finmath.montecarlo.interestrate.products
 
SwaptionWithComponents - Class in net.finmath.montecarlo.interestrate.products
Implements the pricing of a swap under a AbstractLIBORMarketModel
SwaptionWithComponents(double, double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SwaptionWithComponents
 
SwapWithComponents - Class in net.finmath.montecarlo.interestrate.products
Implements the pricing of a swap under a AbstractLIBORMarketModel
SwapWithComponents(double[], double[], double[]) - Constructor for class net.finmath.montecarlo.interestrate.products.SwapWithComponents
 

T

Tenor - Class in net.finmath.time
Implements a time discretization based on dates using a reference date and an daycount convention / year fraction.
Tenor(LocalDate[], LocalDate) - Constructor for class net.finmath.time.Tenor
 
Tenor(double[]) - Constructor for class net.finmath.time.Tenor
Construct a tenor from a time discretization.
Tenor(Double[]) - Constructor for class net.finmath.time.Tenor
Construct a tenor from a time discretization.
Tenor(double, int, double) - Constructor for class net.finmath.time.Tenor
Construct a tenor from meta data.
Tenor(double, double, double, TimeDiscretization.ShortPeriodLocation) - Constructor for class net.finmath.time.Tenor
Construct a tenor from meta data.
TenorInterface - Interface in net.finmath.time
 
TermStructCovarianceModelFromLIBORCovarianceModel - Class in net.finmath.montecarlo.interestrate.modelplugins
 
TermStructCovarianceModelFromLIBORCovarianceModel(AbstractLIBORCovarianceModelParametric) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModel
Create a term structure covariance model model implementing TermStructureCovarianceModelInterface using a given model implementing AbstractLIBORCovarianceModelParametric.
TermStructCovarianceModelFromLIBORCovarianceModelParametric - Class in net.finmath.montecarlo.interestrate.modelplugins
 
TermStructCovarianceModelFromLIBORCovarianceModelParametric(TermStructureTenorTimeScalingInterface, AbstractLIBORCovarianceModelParametric) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.TermStructCovarianceModelFromLIBORCovarianceModelParametric
 
TermStructureCovarianceModelInterface - Interface in net.finmath.montecarlo.interestrate.modelplugins
A base class and interface description for the instantaneous covariance of an forward rate interest rate model.
TermStructureCovarianceModelParametric - Class in net.finmath.montecarlo.interestrate.modelplugins
A base class and interface description for the instantaneous covariance of an forward rate interest rate model.
TermStructureCovarianceModelParametric() - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.TermStructureCovarianceModelParametric
 
TermStructureFactorLoadingsModelInterface - Interface in net.finmath.montecarlo.interestrate.modelplugins
A base class and interface description for the instantaneous covariance of an forward rate interest rate model.
TermStructureFactorLoadingsModelParametricInterface - Interface in net.finmath.montecarlo.interestrate.modelplugins
A base class and interface description for the instantaneous covariance of an forward rate interest rate model.
TermStructureModelInterface - Interface in net.finmath.montecarlo.interestrate
 
TermStructureModelMonteCarloSimulation - Class in net.finmath.montecarlo.interestrate
Implements convenient methods for a LIBOR market model, based on a given LIBORMarketModel model and AbstractLogNormalProcess process.
TermStructureModelMonteCarloSimulation(TermStructureModelInterface, AbstractProcess) - Constructor for class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
Create a LIBOR Monte-Carlo Simulation from a given LIBORMarketModel and an AbstractProcess.
TermStructureModelMonteCarloSimulation(TermStructureModelInterface) - Constructor for class net.finmath.montecarlo.interestrate.TermStructureModelMonteCarloSimulation
Create a LIBOR Monte-Carlo Simulation from a given LIBORMarketModel.
TermStructureModelMonteCarloSimulationInterface - Interface in net.finmath.montecarlo.interestrate
 
TermStructureTenorTimeScalingInterface - Interface in net.finmath.montecarlo.interestrate.modelplugins
 
TermStructureTenorTimeScalingPicewiseConstant - Class in net.finmath.montecarlo.interestrate.modelplugins
 
TermStructureTenorTimeScalingPicewiseConstant(TimeDiscretizationInterface, double[]) - Constructor for class net.finmath.montecarlo.interestrate.modelplugins.TermStructureTenorTimeScalingPicewiseConstant
 
test(RandomVariableInterface) - Method in class net.finmath.functions.JarqueBeraTest
Return the test statistic of the Jarque-Bera test for a given random variable.
TimeDiscreteEndOfMonthIndex - Class in net.finmath.montecarlo.interestrate.products.indices
An index which maps is evaluation point to a fixed discrete point, the end of the month, then takes the value of a given base index at this point.
TimeDiscreteEndOfMonthIndex(String, AbstractIndex, int) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.TimeDiscreteEndOfMonthIndex
Creates a time discrete index.
TimeDiscretization - Class in net.finmath.time
This class represents a set of discrete points in time.
TimeDiscretization(DoubleStream, double) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization using the given tick size.
TimeDiscretization(DoubleStream) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization from a (non closed and not necessarily sorted) stream of doubles.
TimeDiscretization(Stream<Double>, double) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization using the given tick size.
TimeDiscretization(Stream<Double>) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization from a (non closed and not necessarily sorted) stream of boxed doubles.
TimeDiscretization(Iterable<Double>, double) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization using the given tick size.
TimeDiscretization(Iterable<Double>) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization from an iterable of doubles.
TimeDiscretization(double...) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization from a given set of doubles.
TimeDiscretization(Double[]) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization from a given set of Doubles.
TimeDiscretization(Double[], double) - Constructor for class net.finmath.time.TimeDiscretization
Constructs a time discretization using the given tick size.
TimeDiscretization(double, int, double) - Constructor for class net.finmath.time.TimeDiscretization
Constructs an equi-distant time discretization with points timeDiscretization[i] being for(i=0; i ≤ timeSteps; i++) timeDiscretization[i] = initial + i * deltaT;
TimeDiscretization(double, double, double, TimeDiscretization.ShortPeriodLocation) - Constructor for class net.finmath.time.TimeDiscretization
Constructs an equi-distant time discretization with stub periods at start or end.
TimeDiscretization.ShortPeriodLocation - Enum in net.finmath.time
 
TimeDiscretizationInterface - Interface in net.finmath.time
 
TimeSeries - Class in net.finmath.timeseries
A discrete time series.
TimeSeries(double[], double[]) - Constructor for class net.finmath.timeseries.TimeSeries
 
TimeSeriesInterface - Interface in net.finmath.timeseries
Interface to be implemented by finite time series.
TimeSeriesModelParametric - Interface in net.finmath.timeseries
A parametric time series model
TimeSeriesView - Class in net.finmath.timeseries
A time series created from a sup-interval of another time series.
TimeSeriesView(TimeSeriesInterface, int, int) - Constructor for class net.finmath.timeseries.TimeSeriesView
 
toString() - Method in class net.finmath.analytic.calibration.CalibratedCurves.CalibrationSpec
 
toString() - Method in class net.finmath.analytic.model.AnalyticModel
 
toString() - Method in class net.finmath.analytic.model.curves.AbstractCurve
 
toString() - Method in class net.finmath.analytic.model.curves.AbstractForwardCurve
 
toString() - Method in class net.finmath.analytic.model.curves.Curve
 
toString() - Method in class net.finmath.analytic.model.curves.DiscountCurve
 
toString() - Method in class net.finmath.analytic.model.curves.ForwardCurve
 
toString() - Method in class net.finmath.analytic.model.curves.ForwardCurveFromDiscountCurve
 
toString() - Method in class net.finmath.analytic.model.volatilities.AbstractVolatilitySurface
 
toString() - Method in class net.finmath.analytic.products.Deposit
 
toString() - Method in class net.finmath.analytic.products.Performance
 
toString() - Method in class net.finmath.analytic.products.Swap
 
toString() - Method in class net.finmath.analytic.products.SwapAnnuity
 
toString() - Method in class net.finmath.analytic.products.SwapLeg
 
toString() - Method in class net.finmath.marketdata.calibration.CalibratedCurves.CalibrationSpec
 
toString() - Method in class net.finmath.marketdata.model.AnalyticModel
 
toString() - Method in class net.finmath.marketdata.model.bond.Bond
 
toString() - Method in class net.finmath.marketdata.model.curves.AbstractCurve
 
toString() - Method in class net.finmath.marketdata.model.curves.AbstractForwardCurve
 
toString() - Method in class net.finmath.marketdata.model.curves.Curve
 
toString() - Method in class net.finmath.marketdata.model.curves.DiscountCurve
 
toString() - Method in class net.finmath.marketdata.model.curves.DiscountCurveNelsonSiegelSvensson
 
toString() - Method in class net.finmath.marketdata.model.curves.ForwardCurve
 
toString() - Method in class net.finmath.marketdata.model.curves.ForwardCurveFromDiscountCurve
 
toString() - Method in class net.finmath.marketdata.model.curves.PiecewiseCurve
 
toString() - Method in class net.finmath.marketdata.model.volatilities.AbstractVolatilitySurface
 
toString() - Method in class net.finmath.marketdata.products.Cap
 
toString() - Method in class net.finmath.marketdata.products.Deposit
 
toString() - Method in class net.finmath.marketdata.products.Performance
 
toString() - Method in class net.finmath.marketdata.products.Swap
 
toString() - Method in class net.finmath.marketdata.products.SwapAnnuity
 
toString() - Method in class net.finmath.marketdata.products.SwapLeg
 
toString() - Method in class net.finmath.modelling.UnsupportedProduct
 
toString() - Method in class net.finmath.montecarlo.AbstractMonteCarloProduct
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.BachelierModel
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModel
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.BlackScholesModelWithCurves
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.DisplacedLognomalModelExperimental
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.HestonModel
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogeneousDisplacedLognomalModel
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.InhomogenousBachelierModel
 
toString() - Method in class net.finmath.montecarlo.assetderivativevaluation.MonteCarloMultiAssetBlackScholesModel
 
toString() - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
toString() - Method in class net.finmath.montecarlo.BrownianBridge
 
toString() - Method in class net.finmath.montecarlo.BrownianMotion
 
toString() - Method in class net.finmath.montecarlo.GammaProcess
 
toString() - Method in class net.finmath.montecarlo.IndependentIncrements
 
toString() - Method in class net.finmath.montecarlo.interestrate.covariancemodels.AbstractLIBORCovarianceModelParametric
 
toString() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel.CalibrationItem
 
toString() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModel
 
toString() - Method in class net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement.CalibrationItem
 
toString() - Method in class net.finmath.montecarlo.interestrate.modelplugins.AbstractLIBORCovarianceModelParametric
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.Bond
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.components.AbstractPeriod
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.components.Cashflow
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.components.Notional
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.components.Option
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.components.Period
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.components.ProductCollection
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelForwardCurveIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.AnalyticModelIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.CappedFlooredIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.ConstantMaturitySwaprate
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.FixedCoupon
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.ForwardCurveIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.LIBORIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.LinearCombinationIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.MaxIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.MinIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.PowIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.TimeDiscreteEndOfMonthIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.indices.TriggerIndex
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.SimpleSwap
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.Swaption
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.SwaptionSimple
 
toString() - Method in class net.finmath.montecarlo.interestrate.products.SwaptionSingleCurve
 
toString() - Method in class net.finmath.montecarlo.JumpProcessIncrements
 
toString() - Method in class net.finmath.montecarlo.process.ProcessEulerScheme
 
toString() - Method in class net.finmath.montecarlo.RandomVariable
 
toString() - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
toString() - Method in class net.finmath.montecarlo.templatemethoddesign.assetderivativevaluation.MonteCarloBlackScholesModel2
 
toString() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendar
 
toString() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarAny
 
toString() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingGivenHolidays
 
toString() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingTARGETHolidays
 
toString() - Method in class net.finmath.time.businessdaycalendar.BusinessdayCalendarExcludingWeekends
 
toString() - Method in class net.finmath.time.daycount.DayCountConvention_ACT_ACT_AFB
 
toString() - Method in class net.finmath.time.daycount.DayCountConvention_ACT_ACT_ISDA
 
toString() - Method in class net.finmath.time.daycount.DayCountConvention_ACT_ACT_YEARFRAC
 
toString() - Method in class net.finmath.time.Period
 
toString() - Method in class net.finmath.time.Schedule
 
toString() - Method in class net.finmath.time.Tenor
 
toString() - Method in class net.finmath.time.TimeDiscretization
 
TrapezoidalRealIntegrator - Class in net.finmath.integration
A simple integrator using the trapezoidal rule.
TrapezoidalRealIntegrator(double, double, double[]) - Constructor for class net.finmath.integration.TrapezoidalRealIntegrator
Create an integrator using the trapezoidal rule.
TrapezoidalRealIntegrator(double, double, int) - Constructor for class net.finmath.integration.TrapezoidalRealIntegrator
Create an integrator using the trapezoidal rule and an equi-distant grid of evaluation points.
TriggerIndex - Class in net.finmath.montecarlo.interestrate.products.indices
A trigger index.
TriggerIndex(AbstractProductComponent, AbstractProductComponent, AbstractProductComponent) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.TriggerIndex
Creates the function trigger(t) ≥ 0.0 ?

U

union(TimeDiscretizationInterface) - Method in class net.finmath.time.TimeDiscretization
 
union(TimeDiscretizationInterface) - Method in interface net.finmath.time.TimeDiscretizationInterface
Returns the union of this time discretization with another one.
UnsupportedIndex - Class in net.finmath.montecarlo.interestrate.products.indices
An index throwing an exception if his getValue method is called.
UnsupportedIndex(String, Exception) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.UnsupportedIndex
Creates an unsupported index throwing an exception if his getValue method is called.
UnsupportedIndex(Exception) - Constructor for class net.finmath.montecarlo.interestrate.products.indices.UnsupportedIndex
Creates an unsupported index throwing an exception if his getValue method is called.
UnsupportedProduct - Class in net.finmath.modelling
A product throwing an exception if its getValue method is called.
UnsupportedProduct(Exception) - Constructor for class net.finmath.modelling.UnsupportedProduct
Creates an unsupported product throwing an exception if its getValue method is called.

V

value(double) - Method in class net.finmath.optimizer.GoldenSectionSearch
 
valueOf(String) - Static method in enum net.finmath.analytic.interpolation.RationalFunctionInterpolation.ExtrapolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.analytic.interpolation.RationalFunctionInterpolation.InterpolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.analytic.model.curves.Curve.ExtrapolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.analytic.model.curves.Curve.InterpolationEntity
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.analytic.model.curves.Curve.InterpolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.analytic.model.curves.ForwardCurve.InterpolationEntityForward
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.analytic.model.volatilities.VolatilitySurfaceInterface.QuotingConvention
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.interpolation.RationalFunctionInterpolation.ExtrapolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.interpolation.RationalFunctionInterpolation.InterpolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.marketdata.model.bond.BondCurve.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.marketdata.model.curves.Curve.ExtrapolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.marketdata.model.curves.Curve.InterpolationEntity
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.marketdata.model.curves.Curve.InterpolationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.marketdata.model.curves.ForwardCurve.InterpolationEntityForward
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.marketdata.model.curves.locallinearregression.CurveEstimation.Distribution
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.marketdata.model.volatilities.VolatilitySurfaceInterface.QuotingConvention
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.assetderivativevaluation.HestonModel.Scheme
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.assetderivativevaluation.products.BermudanDigitalOption.ExerciseMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption.ExerciseMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.assetderivativevaluation.products.BlackScholesHedgedPortfolio.HedgeStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModel.Driftapproximation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModel.Measure
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModel.StateSpace
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.Driftapproximation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.Measure
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement.Driftapproximation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.Caplet.ValueUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.indices.DateIndex.DateIndexType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation.ValueUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato.ValueUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation.StateSpace
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation.ValueUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionSimple.ValueUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation.ValueUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.process.ProcessEulerScheme.Scheme
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.montecarlo.templatemethoddesign.LogNormalProcess.Scheme
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.optimizer.LevenbergMarquardt.RegularizationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.optimizer.StochasticLevenbergMarquardt.RegularizationMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface.DateOffsetUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface.DateRollConvention
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.time.ScheduleGenerator.DaycountConvention
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.time.ScheduleGenerator.Frequency
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.time.ScheduleGenerator.ShortPeriodConvention
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.finmath.time.TimeDiscretization.ShortPeriodLocation
Returns the enum constant of this type with the specified name.
values() - Static method in enum net.finmath.analytic.interpolation.RationalFunctionInterpolation.ExtrapolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.analytic.interpolation.RationalFunctionInterpolation.InterpolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.analytic.model.curves.Curve.ExtrapolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.analytic.model.curves.Curve.InterpolationEntity
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.analytic.model.curves.Curve.InterpolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.analytic.model.curves.ForwardCurve.InterpolationEntityForward
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.analytic.model.volatilities.VolatilitySurfaceInterface.QuotingConvention
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.interpolation.RationalFunctionInterpolation.ExtrapolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.interpolation.RationalFunctionInterpolation.InterpolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.marketdata.model.bond.BondCurve.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.marketdata.model.curves.Curve.ExtrapolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.marketdata.model.curves.Curve.InterpolationEntity
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.marketdata.model.curves.Curve.InterpolationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.marketdata.model.curves.ForwardCurve.InterpolationEntityForward
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.marketdata.model.curves.locallinearregression.CurveEstimation.Distribution
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.marketdata.model.volatilities.VolatilitySurfaceInterface.QuotingConvention
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.assetderivativevaluation.HestonModel.Scheme
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.assetderivativevaluation.products.BermudanDigitalOption.ExerciseMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.assetderivativevaluation.products.BermudanOption.ExerciseMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.assetderivativevaluation.products.BlackScholesHedgedPortfolio.HedgeStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModel.Driftapproximation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModel.Measure
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModel.StateSpace
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.Driftapproximation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModelStandard.Measure
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.LIBORMarketModelWithTenorRefinement.Driftapproximation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.Caplet.ValueUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.indices.DateIndex.DateIndexType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximation.ValueUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionAnalyticApproximationRebonato.ValueUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation.StateSpace
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionGeneralizedAnalyticApproximation.ValueUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionSimple.ValueUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.interestrate.products.SwaptionSingleCurveAnalyticApproximation.ValueUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.process.ProcessEulerScheme.Scheme
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.montecarlo.templatemethoddesign.LogNormalProcess.Scheme
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.optimizer.LevenbergMarquardt.RegularizationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.optimizer.StochasticLevenbergMarquardt.RegularizationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface.DateOffsetUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.time.businessdaycalendar.BusinessdayCalendarInterface.DateRollConvention
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.time.ScheduleGenerator.DaycountConvention
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.time.ScheduleGenerator.Frequency
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.time.ScheduleGenerator.ShortPeriodConvention
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.finmath.time.TimeDiscretization.ShortPeriodLocation
Returns an array containing the constants of this enum type, in the order they are declared.
varianceOfStockPrice(double) - Method in class net.finmath.finitedifference.models.FDMBlackScholesModel
 
varianceOfStockPrice(double) - Method in interface net.finmath.finitedifference.models.FiniteDifference1DModel
 
version() - Method in class net.finmath.modelling.descriptor.BlackScholesModelDescriptor
 
version() - Method in class net.finmath.modelling.descriptor.HestonModelDescriptor
 
version() - Method in class net.finmath.modelling.descriptor.HullWhiteModelDescriptor
 
version() - Method in class net.finmath.modelling.descriptor.InterestRateSwapLegProductDescriptor
 
version() - Method in class net.finmath.modelling.descriptor.SingleAssetDigitalOptionProductDescriptor
 
version() - Method in class net.finmath.modelling.descriptor.SingleAssetEuropeanOptionProductDescriptor
 
version() - Method in interface net.finmath.modelling.ModelDescriptor
Return the version of the model description.
version() - Method in interface net.finmath.modelling.ProductDescriptor
Return the version of the model description.
vid(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD
 
vid(RandomVariableInterface) - Method in class net.finmath.montecarlo.automaticdifferentiation.forward.RandomVariableDifferentiableAD
 
vid(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariable
 
vid(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLazyEvaluation
 
vid(RandomVariableInterface) - Method in class net.finmath.montecarlo.RandomVariableLowMemory
 
vid(RandomVariableInterface) - Method in interface net.finmath.stochastic.RandomVariableInterface
Applies x → randomVariable/x to this random variable.
vid(RandomVariableInterface) - Method in class net.finmath.stochastic.Scalar
 
volatilityConversionLognormalATMtoNormalATM(double, double, double, double) - Static method in class net.finmath.functions.AnalyticFormulas
Exact conversion of displaced lognormal ATM volatiltiy to normal ATM volatility.
VolatilitySurfaceInterface - Interface in net.finmath.analytic.model.volatilities
Interface for classes representing a volatility surface, i.e.
VolatilitySurfaceInterface - Interface in net.finmath.marketdata.model.volatilities
Interface for classes representing a volatility surface, i.e.
VolatilitySurfaceInterface.QuotingConvention - Enum in net.finmath.analytic.model.volatilities
Quoting conventions.
VolatilitySurfaceInterface.QuotingConvention - Enum in net.finmath.marketdata.model.volatilities
Quoting conventions.

W

WorstOfExpressCertificate - Class in net.finmath.montecarlo.hybridassetinterestrate.products
 
WorstOfExpressCertificate(double, double[], double[], double[], double[], double) - Constructor for class net.finmath.montecarlo.hybridassetinterestrate.products.WorstOfExpressCertificate
 
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Copyright © 2018 Christian P. Fries.

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