COMPARISON OF DEPENDENCE IN FACTOR MODELS WITH APPLICATION TO CREDIT RISK PORTFOLIOS

Author:

Denuit Michel,Frostig Esther

Abstract

This article considers portfolio credit risk models of factor type. The dependence between the individual defaults is driven by a small number of systematic factors. The present work aims to investigate the effect of increasing the strength of the dependence between systematic factors on the default indicators in standard credit risk models. The intensity of the dependence is measured by means of appropriate multivariate stochastic orderings, based on the comparison of supermodular and ultramodular functions.

Publisher

Cambridge University Press (CUP)

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exchangeable FGM copulas;Advances in Applied Probability;2023-08-24

2. On finite exchangeable sequences and their dependence;Journal of Multivariate Analysis;2017-11

3. Bibliography;An Introduction to Stochastic Orders;2016

4. Multivariate stochastic orders;An Introduction to Stochastic Orders;2016

5. On General Multivariate Mixture Models;Communications in Statistics - Theory and Methods;2014-09-30

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