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The Valuation of Default-Triggered Credit Derivatives

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  • Chen, Ren-Raw
  • Sopranzetti, Ben J.

Abstract

Credit derivatives are among the fastest growing contracts in the derivatives market. We present a simple, easily implementable model to study the pricing and hedging of two widely traded default-triggered claims: default swaps and default baskets. In particular, we demonstrate how default correlation (the correlation between two default processes) impacts the prices of these claims. When we extend our model to continuous time, we find that, once default correlation has been taken into consideration, the spread dynamics have very little explanatory power.

Suggested Citation

  • Chen, Ren-Raw & Sopranzetti, Ben J., 2003. "The Valuation of Default-Triggered Credit Derivatives," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(2), pages 359-382, June.
    • Handle: RePEc:cup:jfinqa:v:38:y:2003:i:02:p:359-382_00
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    Cited by:

    1. Bhanot, Karan & Mansi, Sattar A. & Wald, John K., 2010. "Takeover risk and the correlation between stocks and bonds," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 381-393, June.
    2. Tavy Ronen & Oleg Sokolinskiy & Ben Sopranzetti, 2020. "The risk management implications of using end of day consensus pricing for single name CDS," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 269-304, July.
    3. Di Zhang & Roderick V. N. Melnik, 2009. "First passage time for multivariate jump‐diffusion processes in finance and other areas of applications," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(5), pages 565-582, September.
    4. Chen, Ren-Raw & Cheng, Xiaolin & Liu, Bo, 2008. "Estimation and evaluation of the term structure of credit default swaps: An empirical study," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 339-349, December.

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