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Nonlinear Monte Carlo schemes for counterparty risk on credit derivatives

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  • Stéphane Crépey

    (LaMME - Laboratoire de Mathématiques et Modélisation d'Evry - INRA - Institut National de la Recherche Agronomique - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - UEVE - Université d'Évry-Val-d'Essonne - CNRS - Centre National de la Recherche Scientifique)

  • Tuyet Mai Nguyen

Abstract

Two nonlinear Monte Carlo schemes, namely, the linear Monte Carlo expansion with randomization of Fujii and Takahashi (2012a,2012b) and the marked branching diffusion scheme of Henry-Labordère (2012), are compared in terms of applicability and numerical behavior regarding counterparty risk computations on credit derivatives. This is done in two dynamic copula models of portfolio credit risk: the dynamic Gaussian copula model and the model in which default dependence stems from joint defaults. For such high-dimensional and nonlinear pricing problems, more standard deterministic or simulation/regression schemes are ruled out by Bellman's " curse of dimensionality " and only purely forward Monte Carlo schemes can be used.

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  • Stéphane Crépey & Tuyet Mai Nguyen, 2018. "Nonlinear Monte Carlo schemes for counterparty risk on credit derivatives," Working Papers hal-01764400, HAL.
    • Handle: RePEc:hal:wpaper:hal-01764400
    Note: View the original document on HAL open archive server: https://hal.science/hal-01764400
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    References listed on IDEAS

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    1. Stéphane Crépey & Rémi Gerboud & Zorana Grbac & Nathalie Ngor, 2013. "Counterparty Risk And Funding: The Four Wings Of The Tva," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-31.
    2. Damiano Brigo & Agostino Capponi & Andrea Pallavicini, 2014. "Arbitrage-Free Bilateral Counterparty Risk Valuation Under Collateralization And Application To Credit Default Swaps," Mathematical Finance, Wiley Blackwell, vol. 24(1), pages 125-146, January.
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