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Risk-neutral and actual default probabilities with an endogenous bankruptcy jump-diffusion model. (English) Zbl 1131.91354

Summary: This paper focuses on historical and risk-neutral default probabilities in a structural model, when the firm assets dynamics are modeled by a double exponential jump diffusion process. Relying on the H. Leland [J. Finance 49, 1213–1252 (1994)] or H. E. Leland and K. B. Toft [“Optimal capital structure, endogenous bankruptcy, and the term structure of credit spreads”, ibid. 51, No. 3, 987–1019 (1996; doi:10.1111/j.1540-6261.1996.tb02714.x)] endogenous structural approaches, as formalized by B. Hilberink and L.C.G. Rogers [Finance Stoch. 6, No. 2, 237–263 (2002; Zbl 1002.91019)], this article gives a coherent construction of historical default probabilities. The risk-neutral world where evolve the firm assets, modeled by a class of geometric Lévy processes, is constructed based on the Esscher measure, yielding useful and new analytical relations between historical and risk-neutral probabilities. We do a complete numerical analysis of the predictions of our framework, and compare these predictions with actual data. In particular, this new framework displays an enhanced predictive power w.r.t. current Gaussian endogenous structural models.

MSC:

91B30 Risk theory, insurance (MSC2010)
60J99 Markov processes

Citations:

Zbl 1002.91019
Full Text: DOI

References:

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