Total value adjustment of Bermudan option valuation under pure jump Lévy fluctuations

Author:

Yuan Gangnan1ORCID,Ding Deng1,Duan Jinqiao2ORCID,Lu Weiguo1ORCID,Wu Fengyan3ORCID

Affiliation:

1. Department of Mathematics, University of Macau, Macau 999078, China

2. Department of Applied Mathematics, Illinois Institute of Technology, Chicago, Illinois 60616, USA

3. College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China

Abstract

During the COVID-19 pandemic, many institutions have announced that their counterparties are struggling to fulfill contracts. Therefore, it is necessary to consider the counterparty default risk when pricing options. After the 2008 financial crisis, a variety of value adjustments have been emphasized in the financial industry. The total value adjustment (XVA) is the sum of multiple value adjustments, which is also investigated in many stochastic models, such as the Heston [B. Salvador and C. W. Oosterlee, Appl. Math. Comput. 391, 125489 (2020)] and Bates [L. Goudenège et al., Comput. Manag. Sci. 17, 163–178 (2020)] models. In this work, a widely used pure jump Lévy process, the Carr–Geman–Madan–Yor process has been considered for pricing a Bermudan option with various value adjustments. Under a pure jump Lévy process, the value of derivatives satisfies a fractional partial differential equation (FPDE). Therefore, we construct a method that combines Monte Carlo with a finite difference of FPDE to find the numerical approximation of exposure and compare it with the benchmark Monte Carlo simulation and Fourier-cosine series method. We use the discrete energy estimate method, which is different from the existing works, to derive the convergence of the numerical scheme. Based on the numerical results, the XVA is computed by the financial exposure of the derivative value.

Funder

National Natural Science Foundation of China

Universidade de Macau

Natural Science Foundation of Chongqing, China

China Postdoctoral Science Foundation funded project

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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