Credit risk and contagion via self-exciting default intensity

Springer Science and Business Media LLC - Tập 11 - Trang 319-344 - 2015
Robert J. Elliott1, Jia Shen1
1Haskayne School of Business, University of Calgary, Calgary, Canada

Tóm tắt

Recent empirical evidences indicate that default rates are influenced not only by the observable or latent risk factors, but also depend on the history of past defaults. Motivated by this empirical finding, we consider in this paper a reduced-form, intensity-based credit risk model, which allows for both frailty and default contagion, using a so-called “self-exciting” intensity, in the sense that the default intensity varies not only with the risk factors, but also depends on the previous default history of all the firms. With “self-exciting” default intensity, we are able to obtain closed-form expressions for the pricing of credit derivative securities in our model. The estimation of parameters using the EM algorithm is considered as well.

Tài liệu tham khảo

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