Shock Models for Defaults: Parametric and Nonparametric Approaches

被引:0
|
作者
Cirillo, Pasquale [1 ]
Husler, Jurg [1 ]
机构
[1] Univ Bern, Inst Math Stat & Versicherungslehre, Bern, Switzerland
关键词
Convergence; Default; Extremes; Firm's failure; First passage times; Moments; Renewal theory; Shock; Stopped random walk;
D O I
暂无
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
We review shock models for defaults, both in the standard and in the urn based approach. Shock models are motivated by engineering problems where a material can break because of stress, but they can also be efficiently used in other fields, such as economics and biology. Standard shock models are parametric models, whereas the urn-based shock models are nonparametric models assuming as little as possible for the prediction of defaults. First, we mention some results for the two models, in particular describing the finite and asymptotic behavior of time to failure or of the chance for defaults. Finally, we also present an application of the second model to defaults of Italian firms, comparing our results with a standard prediction model of economics, the Z-score. We note that our model predicts the default behavior of these firms better.
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页码:90 / 113
页数:24
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