Documentation of 'net.finmath.montecarlo.assetderivativevaluation.products.AsianOption' Java class
AsianOption
net.finmath.montecarlo.assetderivativevaluation.products

Class AsianOption

  • All Implemented Interfaces:
    ProductInterface


    public class AsianOption
    extends AbstractAssetMonteCarloProduct
    Implements the valuation of an Asian option. Given a model for an asset S, the Asian option with strike K, maturity T and averaging points Ti for i = 1,...,n pays
    max(A(T) - K , 0) in T
    where
    A(T) = 1/n (S(T1)+ ... + S(Tn))
    • Constructor Detail

      • AsianOption

        public AsianOption(double maturity,
                           double strike,
                           TimeDiscretizationInterface timesForAveraging)
        Construct a product representing an Asian option on an asset S (where S the asset with index 0 from the model - single asset case). A(T) = 1/n sum_{i=1,...,n} S(t_i), where t_i are given observation times.
        Parameters:
        strike - The strike K in the option payoff max(A(T)-K,0).
        maturity - The maturity T in the option payoff maxAS(T)-K,0)
        timesForAveraging - The times t_i used in the calculation of A(T) = 1/n sum_{i=1,...,n} S(t_i).
    • Method Detail

      • getValue

        public RandomVariableInterface getValue(double evaluationTime,
                                                AssetModelMonteCarloSimulationInterface model)
                                         throws CalculationException
        This method returns the value random variable of the product within the specified model, evaluated at a given evalutationTime. Note: 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. Cashflows prior evaluationTime are not considered.
        Specified by:
        getValue in class AbstractAssetMonteCarloProduct
        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.

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