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Credit portfolio models in the presence of forward-looking stress events

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  • Alexander Denev

Abstract

ABSTRACT We describe a method, based on the Merton model, to improve credit portfolio models by adding to the underlying distributions forward-looking tails deducted through the Bayesian networks technology. Given the forward-looking stance of the approach, its results give a better quantified picture of the vulnerabilities of an institution under extreme stress and at the same time satisfy the Basel II recommendations for integrating forward-looking stress scenarios in the decision making process and capital planning. We show the procedure in detail in a stylized case.

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Handle: RePEc:rsk:journ5:2255868
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