Models and numerical methods for XVA pricing under mean reversion spreads in a multicurrency framework
Creators
Description
In this article we make some new relevant contributions to the computation of total valuation adjustments (XVA) for financial derivatives involving several currencies. From the modelling point of view, for the credit spreads we consider the more realistic exponential Vasicek and CIR positive mean reversion processes. Moreover, the derivative is partially collateralized in cash in a foreign currency and the collateral value is a percentage of the derivative prices. Under this modelling assumptions and using appropriate dynamic hedging methodologies, we obtain formulations in terms of linear and nonlinear partial differential equations, which are solved with Lagrange-Galerkin methods in low dimension. For higher dimensions, we use the Monte Carlo techniques for the equivalent formulations in terms of expectations. These techniques include a multilevel Picard iteration method for the nonlinear case. Finally, the methodologies are applied to several European options with different payoffs and the numerical results are discussed.
Other (English)
This work has been funded by EU H2020-MSCA-ITN-2018 (ABC-EU-XVA Grant Agreement 813261), Spanish Ministry of Science and Innovation (Grant PID2019-108584RB-I00 ) and by Galician Government (Grant ED431C2018/033), both including FEDER financial support. Authors also acknowledge the support received from the Centro de Investigación de Galicia (CITIC), funded by Xunta de Galicia and the European Union (European Regional Development Fund, Galicia 2014–2020 Program), by grant ED431G 2019/01.
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Arregui_Inigo_2024_Models_and_numerical_methods_for_XVA_pricing_under_mean_reversion_spreads_in_a_multicurrency_framework.pdf
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Additional details
Identifiers
- Handle
- 2183/36210
Dates
- Accepted
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2023-11-20
- Available
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2023-11-29