Some Aspects of Bank’s Credit Risk
Abstract
In this paper, two algorithms are proposed for Monte-Carlo modeling of credit portfolio loss function when taking into account borrowers’ interdependence. In the first case, this dependence was accounted by means of loans-losses covariate matrix, in the second case, with default probabilities covariate matrix. First algorithm has shown that less diversified credit portfolio leads to the less value of VaR-unexpected losses. Second algorithm has demonstrated the reverse conclusion: in the case of higher defaults correlation and less diversified portfolio, we observe higher VaR-unexpected portfolio losses.
Keywords:
credit risk, method Monte-Carlo, covariate matix, credit portfolio, loss function
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Articles of the St Petersburg University Journal of Economic Studies are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.