Class PortfolioMonteCarloProduct

  • All Implemented Interfaces:
    Product, MonteCarloProduct

    public class PortfolioMonteCarloProduct
    extends AbstractMonteCarloProduct
    A portfolio of products, each product being of AbstractMonteCarloProduct type. The valuation is performed multi-threaded over the portfolio of products.
    Version:
    1.0
    Author:
    Christian Fries
    • Constructor Detail

      • PortfolioMonteCarloProduct

        public PortfolioMonteCarloProduct​(MonteCarloProduct[] products,
                                          double[] weights,
                                          Optional<Integer> numberOfThreads)
        Create a portfolio of products, each product being of AbstractMonteCarloProduct type and weighted with a given weight.
        Parameters:
        products - An array of products.
        weights - An array of weights.
        numberOfThreads - Number of parallel threads to used. Required to be > 0.
      • PortfolioMonteCarloProduct

        public PortfolioMonteCarloProduct​(MonteCarloProduct[] products,
                                          double[] weights)
        Create a portfolio of products, each product being of AbstractMonteCarloProduct type and weighted with a given weight.
        Parameters:
        products - An array of products.
        weights - An array of weights.
      • PortfolioMonteCarloProduct

        public PortfolioMonteCarloProduct​(MonteCarloProduct[] products)
        Create a portfolio of products, each product being of AbstractMonteCarloProduct type.
        Parameters:
        products - An array of products.
    • Method Detail

      • getValue

        public RandomVariable getValue​(double evaluationTime,
                                       MonteCarloSimulationModel model)
                                throws CalculationException
        Description copied from interface: MonteCarloProduct
        This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime. For a lattice this is often the value conditional to evalutationTime, for a Monte-Carlo simulation this is the (sum of) value discounted to evaluation time. More generally: The value random variable is a random variable V*(t) such that the time-t conditional expectation of V*(t) is equal to the value of the financial product in time t. An example for V*(t) is the sum of t-discounted payoffs. Cashflows prior evaluationTime are not considered.
        Specified by:
        getValue in interface MonteCarloProduct
        Specified by:
        getValue in class AbstractMonteCarloProduct
        Parameters:
        evaluationTime - The time on which this products value should be observed.
        model - The model used to price the product.
        Returns:
        The random variable representing the value of the product discounted to evaluation time
        Throws:
        CalculationException - Thrown if the valuation fails, specific cause may be available via the cause() method.