XVA in a multi-currency setting with stochastic foreign exchange rates
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DOI: 10.1016/j.matcom.2022.12.014
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- Masaaki Fujii & Akihiko Takahashi & Masayuki Takahashi, 2017. "Asymptotic Expansion as Prior Knowledge in Deep Learning Method for high dimensional BSDEs," Papers 1710.07030, arXiv.org, revised Mar 2019.
- Alexander Lipton & Andrey Gal & Andris Lasis, 2014. "Pricing of vanilla and first-generation exotic options in the local stochastic volatility framework: survey and new results," Quantitative Finance, Taylor & Francis Journals, vol. 14(11), pages 1899-1922, November.
- Andrew Green & Chris Kenyon, 2014. "MVA: Initial Margin Valuation Adjustment by Replication and Regression," Papers 1405.0508, arXiv.org, revised Jan 2015.
- Damiano Brigo & Agostino Capponi, 2008. "Bilateral counterparty risk valuation with stochastic dynamical models and application to Credit Default Swaps," Papers 0812.3705, arXiv.org, revised Nov 2009.
- Lech A. Grzelak & Cornelis W. Oosterlee, 2012.
"On Cross-Currency Models with Stochastic Volatility and Correlated Interest Rates,"
Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(1), pages 1-35, February.
- Grzelak, Lech & Oosterlee, Kees, 2010. "On cross-currency models with stochastic volatility and correlated interest rates," MPRA Paper 23020, University Library of Munich, Germany.
- Claudio Albanese & Stéphane Crépey & Rodney Hoskinson & Bouazza Saadeddine, 2021.
"XVA analysis from the balance sheet,"
Quantitative Finance, Taylor & Francis Journals, vol. 21(1), pages 99-123, January.
- Claudio Albanese & Stephane Crepey & Rodney Hoskinson & Bouazza Saadeddine, 2020. "XVA Analysis From the Balance Sheet," Papers 2009.00368, arXiv.org.
- Claudio Albanese & Stéphane Crépey & Rodney Hoskinson & Bouazza Saadeddine, 2021. "XVA Analysis From the Balance Sheet," Post-Print hal-03910125, HAL.
- Griselda Deelstra & Gr�gory Ray�e, 2013.
"Local Volatility Pricing Models for Long-Dated FX Derivatives,"
Applied Mathematical Finance, Taylor & Francis Journals, vol. 20(4), pages 380-402, September.
- Griselda Deelstra & Gr'egory Ray'ee, 2012. "Local Volatility Pricing Models for Long-dated FX Derivatives," Papers 1204.0633, arXiv.org.
- Alexander Lipton, 2001. "Mathematical Methods for Foreign Exchange:A Financial Engineer's Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 4694, February.
- Weinan E & Martin Hutzenthaler & Arnulf Jentzen & Thomas Kruse, 2021. "Multilevel Picard iterations for solving smooth semilinear parabolic heat equations," Partial Differential Equations and Applications, Springer, vol. 2(6), pages 1-31, December.
- Masaaki Fujii & Akihiko Takahashi & Masayuki Takahashi, 2019. "Asymptotic Expansion as Prior Knowledge in Deep Learning Method for High dimensional BSDEs," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(3), pages 391-408, September.
- Andrew Green & Chris Kenyon, 2014. "KVA: Capital Valuation Adjustment," Papers 1405.0515, arXiv.org, revised Oct 2014.
- Michael B. Giles, 2008. "Multilevel Monte Carlo Path Simulation," Operations Research, INFORMS, vol. 56(3), pages 607-617, June.
- Arregui, Iñigo & Simonella, Roberta & Vázquez, Carlos, 2022. "Total value adjustment for European options in a multi‐currency setting," Applied Mathematics and Computation, Elsevier, vol. 413(C).
- De Col, Alvise & Gnoatto, Alessandro & Grasselli, Martino, 2013.
"Smiles all around: FX joint calibration in a multi-Heston model,"
Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3799-3818.
- Alvise De Col & Alessandro Gnoatto & Martino Grasselli, 2012. "Smiles all around: FX joint calibration in a multi-Heston model," Papers 1201.1782, arXiv.org, revised Jun 2013.
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Keywords
Total value adjustment; Multi-currency; Stochastic foreign exchange rates; European options; Picard iteration methods;All these keywords.
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