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Mathematical analysis of a credit default swap with counterparty risks

Published online by Cambridge University Press:  09 September 2019

XINFU CHEN
Affiliation:
Department of Mathematics, University of Pittsburgh, Pittsburgh, PA15260, USA emails: [email protected]; [email protected]
PENG HE
Affiliation:
Model Risk Management Group, PNC Financial Service Group, Pittsburgh, PA15222, USA email: [email protected]
JING LIU
Affiliation:
Department of Mathematics, University of Pittsburgh, Pittsburgh, PA15260, USA emails: [email protected]; [email protected]
SHUAI ZHAO
Affiliation:
Model Risk Management Group, U.S. Bank Financial Services Company, Richfield, MN55433, USA email:[email protected]

Abstract

A credit default swap (CDS) is an exchange of premium payments for a compensation for the occurrence of a credit event. Counterparty risks refer to defaults of parties holding CDS contracts. In this paper we develop a valuation/pricing model for a CDS subject to counterparty risks. Using the Cox–Ingersoll–Ross (CIR) model for interest rate and first arrival times of Poisson processes with variable intensities for the occurrences of credit default and counterparty defaults, we derive a mathematical formulation and make a full theoretical investigation. In addition, we develop a full theory for the corresponding infinite horizon problem and establish its connection with the asymptotic long expiry behaviour of finite horizon problem. Furthermore, we establish a connection between two major frameworks for default times: the structure model approach and the intensity model approach. We show that a solution of the structure model can be obtained as the limit of a sequence of solutions of intensity models. Regarded as an important theoretical development, we remove a constraint typically imposed on the parameters of the CIR model; that is, the well-posedness (existence, uniqueness and continuous dependence of parameters) of the mathematical model holds for any empirically calibrated parameters for the CIR model.

Type
Papers
Copyright
© Cambridge University Press 2019

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Footnotes

This research was partially supported by the National Science Foundation grant DMS–1516344.

References

Bielecki, T. R., Crépey, S., Jeanblanc, M. & Rutkowski, M. (2008) Defaultable options in a Markovian intensity model of credit risk. Math. Finan. 18, 493518.CrossRefGoogle Scholar
Black, F. & Cox, J. C. (1976) Valuing corporate securities: some effects of bond indenture provisions. J. Finan. 31, 351367.CrossRefGoogle Scholar
Brigo, D. & Alfonsi, A. (2005) Credit default swap calibration and derivatives pricing with the SSRD stochastic intensity model. Finan. Stoch. 9, 2942.CrossRefGoogle Scholar
Chung, K. L. & Williams, R. J. (1983) Introduction to Stochastic Integration, Birkhäuser, Boston.CrossRefGoogle Scholar
Cox, J. C., Ingersoll, J. E. Jr. & Ross, S. A. (1985) A theory of the term structure of interest rates. Econometrica. 53, 385407.CrossRefGoogle Scholar
Duffie, D. & Singleton, K. J. (1999) Modeling term structures of defaultable bonds. The Review of Financial Studies. 12, 687720.CrossRefGoogle Scholar
Friedman, A. (2008) Partial Differential Equations of Parabolic Type, Dover Publications, Mineola, New York.Google Scholar
He, P. (2016) Mathematical Analysis of Credit Default Swaps. Doctoral Dissertation, University of Pittsburgh.Google Scholar
Hu, B., Jiang, L., Liang, J. & Wei, W. (2012) A fully non-linear PDE problem from pricing CDS with counterparty risk. Discrete & Continuous Dynamical Systems - B. 17(6).CrossRefGoogle Scholar
Kou, S. C. & Kou, S. G. (2004). A diffusion model for growth stocks. Math. Oper. Res. 29, 191212.CrossRefGoogle Scholar
Lando, D. (1998) On Cox processes and credit risky securities. Rev. Derivat. Res. 2, 99120.CrossRefGoogle Scholar
Longstaff, F. A. & Schwartz, E. S. (1995) A simple approach to valuing risky fixed and floating rate debt. J. Finan. 50, 789819.CrossRefGoogle Scholar
Mandl, P. (1968) Analytical Treatment of One-Dimensional Markov Processes, Springer-Verlag, New York.Google Scholar
Merton, R. C. (1974) On the pricing of corporate debt: the risk structure of interest rates. J. Finan. 29, 449470.Google Scholar
Schönbucher, P. J. & Schubert, D. (2001) Copula-dependent default risk in intensity models. Working paper, Department of Statistics, Bonn University.CrossRefGoogle Scholar
Tett, G. (2009) Fool’s Gold: How the Bold Dream of a Small Tribe at J.P. Morgan was Corrupted by Wall Street Greed and Unleashed a Catastrophe, Free Press, New York.Google Scholar