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Enemies or Allies: Pricing Counterparty Credit Risk for Synthetic CDO Tranches

並列摘要


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 portfolio. 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 find that the relationship has a significant influence on the credit value adjustment (CVA) for index tranches and, hence, that it should not be ignored when a contract is initiated. In addition, we discover that the influence has opposite effects and asymmetrical magnitude with respect to the protection buyers and protection sellers.

參考文獻


Brigo, D.,Capponi, A.(2010).Bilateral counterparty risk with application to CDSs.Risk Magazine.March
Pykhtin, M.(Ed.)(2006).Counterparty Credit Risk Modeling: Risk Management, Pricing and Regulation.London:Risk Books.
Brigo, D.,Mercurio, F.(2006).Interest rate models: Theory and practice with smile, inflation and credit.New York:Springer.
Brigo, D., Pallavicini, A., & Papatheodorou, V. (2009). Bilateral counter-party risk valuation for interest-rate products: Impact of volatilities and correlations. Working paper, King's College, London.
Brigo, D.,Pallavicini, A.,Torresetti, R.(2011).Credit models and the crisis: Default cluster dynamics and the generalized poisson loss model.Journal of Credit Risk.6,39-81.

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