This research aims to construct a model for pricing counterparty creditrisk (CCR) for synthetic collateralized debt obligation (CDO) tranches byconsidering the relationship between the counterparty and the credit port-folio. A stochastic intensity model is adopted to describe the default eventof the counterparty, and a two-factor Gaussian copula model is applied toaccount for the relationship between the counterparty and underlying creditportfolio. By analyzing the data of CDX NA IG index tranches, we �ndthat the relationship has a signi�cant inuence on the credit value adjust-ment (CVA) for index tranches and, hence, that it should not be ignoredwhen a contract is initiated. In addition, we discover that the inuence hasopposite e�ects and asymmetrical magnitude with respect to the protectionbuyers and protection sellers.
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机译:本研究旨在通过考虑交易对手与信用组合之间的关系,为合成抵押债务凭证(CDO)的交易价建立交易对手信用风险(CCR)的定价模型。采用随机强度模型来描述交易对手的违约事件,并采用两因素高斯copula模型来计算交易对手与基础信用组合之间的关系。通过分析CDX NA IG指数档的数据,我们发现该关系对指数档的信用价值调整(CVA)具有重要影响,因此在启动合同时不应忽略该关系。此外,我们发现,对于保护购买者和保护销售者,影响具有相反的效力,并且其规模不对称。
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