A Markov Chain Copula Model for Credit Default Swaps with Bilateral Counterparty Risk

被引:3
|
作者
Liang, Xue [1 ,2 ]
Dong, Yinghui [1 ]
机构
[1] Suzhou Univ Sci & Technol, Sch Math & Phys, Suzhou 215009, Peoples R China
[2] Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Bilateral counterparty risk; Credit default swaps; Markov chain; Markov copulae approach; Unilateral counterparty risk;
D O I
10.1080/03610926.2012.665555
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Reduced-form credit risk models are widely used in pricing and hedging credit derivatives. Generating default dependency is the key element in any such model. In this article, we use Markov copulae approach to model the dependence structure of defaults between the three obligors, one is the reference entity, another is the protection seller, the other is the protection buyer(the investor), so we can consider the bilateral counterparty risk of credit default swaps(CDS). In this Markov chain copula model, we obtain the explicit formulas of the CDS premium rates C-1(T) (with unilateral counterparty risk) and C-2(T) (with bilateral counterparty risk). And then we perform some numerical experiments to analyze the difference of the fair spreads between the unilateral case and the bilateral case.
引用
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页码:498 / 514
页数:17
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