A contagion model with Markov regime-switching intensities

被引:5
|
作者
Dong, Yinghui [1 ,2 ]
Wang, Guojing [3 ,4 ]
机构
[1] Shanghai Jiao Tong Univ, Financial Engn Res Ctr, Shanghai 200052, Peoples R China
[2] Suzhou Univ Sci & Technol, Dept Math & Phys, Suzhou 215011, Peoples R China
[3] Soochow Univ, Dept Math, Suzhou 215006, Peoples R China
[4] Soochow Univ, Ctr Financial Engn, Suzhou 215006, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Credit default swap (CDS); contagion model; regime-switching; change of measure; RISK;
D O I
10.1007/s11464-013-0311-0
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We consider a two-dimensional reduced form contagion model with regime-switching interacting default intensities. The model assumes the intensities of the default times are driven by macro-economy described by a homogeneous Markov chain as well as the other default. By using the idea of 'change of measure' and some closed-form formulas for the Laplace transforms of the integrated intensity processes, we derive the two-dimensional conditional and unconditional joint distributions of the default times. Based on these results, we give the explicit formulas for the fair spreads of the first-to-default and second-to-default credit default swaps (CDSs) on two underlyings.
引用
收藏
页码:45 / 62
页数:18
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