PDE Models and Numerical Methods for Total Value Adjustment in European and American Options with Counterparty Risk
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http://hdl.handle.net/2183/19159
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 3.0 España
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PDE Models and Numerical Methods for Total Value Adjustment in European and American Options with Counterparty RiskFecha
2017-09-01Cita bibliográfica
Arregui, I., Salvador, B., & Vázquez, C. (2017). PDE models and numerical methods for total value adjustment in European and American options with counterparty risk. Applied Mathematics and Computation, 308, 31-53.
Resumen
[Abstract] Since the last financial crisis, a relevant effort in quantitative finance research concerns the consideration of counterparty risk in financial contracts, specially in the pricing of derivatives. As a consequence of this new ingredient, new models, mathematical tools and numerical methods are required. In the present paper, we mainly consider the problem formulation in terms of partial differential equations (PDEs) models to price the total credit value adjustment (XVA) to be added to the price of the derivative without counterparty risk. Thus, in the case of European options and forward contracts different linear and nonlinear PDEs arise. In the present paper we propose suitable boundary conditions and original numerical methods to solve these PDEs problems. Moreover, for the first time in the literature, we consider XVA associated to American options by the introduction of complementarity problems associated to PDEs, as well as numerical methods to be added in order to solve them. Finally, numerical examples are presented to illustrate the behavior of the models and numerical method to recover the expected qualitative and quantitative properties of the XVA adjustments in different cases. Also, the first order convergence of the numerical method is illustrated when applied to particular cases in which the analytical expression for the XVA is available.
Palabras clave
Counterparty risk
Credit value adjustments
Non linear PDEs
Characteristics method
Finite elements
Augmented Lagrangian active set method
Credit value adjustments
Non linear PDEs
Characteristics method
Finite elements
Augmented Lagrangian active set method
Descripción
The final publication is available: https://doi.org/10.1016/j.amc.2017.03.008
Versión del editor
Derechos
Atribución-NoComercial-SinDerivadas 3.0 España
ISSN
0096-3003
1873-5649
1873-5649