Modeling Credit Risk with Hidden Markov Default Intensity

Author:

Yu Feng-Hui,Lu Jiejun,Gu Jia-Wen,Ching Wai-Ki

Funder

Research Grants Council of Hong Kong

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Reference38 articles.

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2. Ballestra, L. V., & Pacelli, G. (2014). Valuing risky debt: A new model combining structural information with the reduced-form approach. Insurance: Mathematics and Economics, 55, 261–271.

3. Ballestra, L. V., Pacelli, G., & Radi, D. (2017). Computing the survival probability in the Madan–Unal credit risk model: Application to the CDS market. Quantitative Finance, 17(2), 299–313.

4. Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of Political Economy, 81(3), 637–654.

5. Brigo, D., Pallavicini, A., & Torresetti, R. (2006). Calibration of CDO tranches with the dynamical generalized-Poisson loss model. In Working paper, Banca IMI. Available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=900549 .

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