Lee, David (2018): Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment.
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Abstract
This article presents a generic model for pricing financial derivatives subject to counterparty credit risk. Both unilateral and bilateral types of credit risks are considered. Our study shows that credit risk should be modeled as American style options in most cases, which require a backward induction valuation. To correct a common mistake in the literature, we emphasize that the market value of a defaultable derivative is actually a risky value rather than a risk-free value. Credit value adjustment (CVA) is also elaborated. A practical framework is developed for pricing defaultable derivatives and calculating their CVAs at a portfolio level.
Item Type: | MPRA Paper |
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Original Title: | Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment |
English Title: | Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment |
Language: | English |
Keywords: | credit value adjustment (CVA), credit risk modeling, financial derivative valuation, collateralization, margin and netting. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling D - Microeconomics > D4 - Market Structure, Pricing, and Design > D46 - Value Theory E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing ; Futures Pricing G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation |
Item ID: | 85575 |
Depositing User: | David Lee |
Date Deposited: | 28 Mar 2018 19:03 |
Last Modified: | 28 Sep 2019 15:35 |
References: | Duffie, Darrell, and Ming Huang, 1996, Swap rates and credit quality, Journal of Finance, 51, 921-949. Duffie, Darrell, and Kenneth J. Singleton, 1999, Modeling term structure of defaultable bonds, Review of Financial Studies, 12, 687-720. Gregory, Jon, 2009, Being two-faced over counterparty credit risk, RISK, 22, 86-90. Jarrow, Robert A., and Stuart M. Turnbull, 1995, Pricing derivatives on financial securities subject to credit risk, Journal of Finance, 50, 53-85. Longstaff, Francis A., and Eduardo S. Schwartz, 1995, A simple approach to valuing risky fixed and floating debt, Journal of Finance, 50, 789-819. Longstaff, Francis A., and Eduardo S. Schwartz, 2001, Valuing American options by simulation: a simple least-squares approach, The Review of Financial Studies, 14 (1), 113-147. Madian, Dilip.B., and Unal, Haluk, 1998, Pricing the risks of default, Review of Derivatives Research, 2, 121-160. Merton, Robert C., 1974, On the pricing of corporate debt: the risk structure of interest rates, Journal of Finance, 29, 449-470. Pykhtin, Michael, and Steven Zhu, 2007, A guide to modeling counterparty credit risk, GARP Risk Review, July/August, 16-22. Xiao, Tim, 2015, An accurate solution for credit value adjustment (CVA) and wrong way risk, Journal of Fixed Income, Summer 2015, 25(1), 84-95. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/85575 |