Enemies or Allies: Pricing counterparty credit risk for synthetic CDO tranches
This research aims to construct a model for pricing counterparty credit risk (CCR) for synthetic collateralized debt obligation (CDO) tranches by considering the relationship between the counterparty and the credit port- folio. A stochastic intensity model is adopted to describe the default event of the counterparty, and a two-factor Gaussian copula model is applied to account for the relationship between the counterparty and underlying credit portfolio. By analyzing the data of CDX NA IG index tranches, we �nd that the relationship has a signi�cant in uence on the credit value adjust- ment (CVA) for index tranches and, hence, that it should not be ignored when a contract is initiated. In addition, we discover that the in uence has opposite e�ects and asymmetrical magnitude with respect to the protection buyers and protection sellers.
|Date of creation:||2013|
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- Robert A. Jarrow, 2001.
"Counterparty Risk and the Pricing of Defaultable Securities,"
Journal of Finance,
American Finance Association, vol. 56(5), pages 1765-1799, October.
- Robert A. Jarrow & Fan Yu, 2008. "Counterparty Risk and the Pricing of Defaultable Securities," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 20, pages 481-515 World Scientific Publishing Co. Pte. Ltd..
- Damiano Brigo & Kyriakos Chourdakis, 2009. "Counterparty Risk For Credit Default Swaps: Impact Of Spread Volatility And Default Correlation," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(07), pages 1007-1026.
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