Credit Portfolio Models in the Presence of Forward-Looking Stress Events

We describe a method to improve credit portfolio models based on the Merton model 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 quanti ed 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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Year of publication:	2016
Authors:	Denev, Alexander
Publisher:	[2016]: [S.l.] : SSRN
Subject:	Portfolio-Management \| Portfolio selection \| Kreditrisiko \| Credit risk \| Basler Akkord \| Basel Accord \| Bayes-Statistik \| Bayesian inference

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