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Convenient Multiple Directions Of Stratification

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  • BENJAMIN JOURDAIN

    ()
    (Université Paris-Est, CERMICS, Project Team MathFi, ENPC-INRIA-UMLV, 6 et 8 avenue Blaise Pascal, 77455 Marne La Vallée, Cedex 2, France)

  • BERNARD LAPEYRE

    ()
    (Université Paris-Est, CERMICS, Project Team MathFi, ENPC-INRIA-UMLV, 6 et 8 avenue Blaise Pascal, 77455 Marne La Vallée, Cedex 2, France)

  • PIERGIACOMO SABINO

    ()
    (Universitá degli Studi di Bari, Stochastic Process Research Group, via E. Orabona 4, 70125 Bari, Italy; Eon Energy Trading SE, Holzstrasse 6, 40221, Düsseldorf, Germany)

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    Abstract

    This paper investigates the use of multiple directions of stratification as a variance reduction technique for Monte Carlo simulations of path-dependent options driven by Gaussian vectors. The precision of the method depends on the choice of the directions of stratification and the allocation rule within each strata. Several choices have been proposed but, even if they provide variance reduction, their implementation is computationally intensive and not applicable to realistic payoffs, in particular not to Asian options with barrier. Moreover, all these previously published methods employ orthogonal directions for multiple stratification. In this work we investigate the use of algorithms producing convenient directions, generally non-orthogonal, combining a lower computational cost with a comparable variance reduction. In addition, we study the accuracy of optimal allocation in terms of variance reduction compared to the Latin Hypercube Sampling. We consider the directions obtained by the Linear Transformation and the Principal Component Analysis. We introduce a new procedure based on the Linear Approximation of the explained variance of the payoff using the law of total variance. In addition, we exhibit a novel algorithm that permits to correctly generate normal vectors stratified along non-orthogonal directions. Finally, we illustrate the efficiency of these algorithms in the computation of the price of different path-dependent options with and without barriers in the Black-Scholes and in the Cox-Ingersoll-Ross markets.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal International Journal of Theoretical and Applied Finance.

    Volume (Year): 14 (2011)
    Issue (Month): 06 ()
    Pages: 867-897

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    Handle: RePEc:wsi:ijtafx:v:14:y:2011:i:06:p:867-897

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    Related research

    Keywords: Monte Carlo methods; variance reduction; stratification methods;

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