Uses and Misuses of Measures for Credit Rating Accuracy

28 Pages Posted: 17 Nov 2013

See all articles by Alfred Hamerle

Alfred Hamerle

University of Regensburg - Faculty of Business, Economics & Information Systems

Robert Rauhmeier

KfW Bankengruppe

Daniel Roesch

University of Regensburg

Date Written: April 28, 2003

Abstract

The New Basel Capital Accord will allow the determination of banks’ regulatory capital requirements due to default probabilities which are estimated and forecasted from internal ratings. External ratings from rating agencies play fundamental roles in capital and credit markets. Discriminatory power of internal and external ratings is a key requirement for the soundness of a rating system in general and for the acceptation of a bank’s internal Rating systems under Basel II. Statistics such as the area under a receiver operating characteristic or the accuracy ratio, are widely used in practice as measures for the performance. This note shows that such measures should only be interpreted with caution. Firstly, the outcomes of the measures depend not only on the discrimination power of the rating system but mainly on the structure of the portfolio under consideration. Thus, the absolute values achieved do not measure the performance of a rating system solely. Secondly, comparisons of the outcomes between different portfolios, different time periods or both may be misleading. As a positive result we show that the value achieved by a rating system which predicts all default probabilities correctly can not be beaten.

Keywords: Credit Rating, Basel II, Performance Measurement, CAP, ROC, Accuracy Ratio, Power Curve, Gini

Suggested Citation

Hamerle, Alfred and Rauhmeier, Robert and Roesch, Daniel, Uses and Misuses of Measures for Credit Rating Accuracy (April 28, 2003). Available at SSRN: https://ssrn.com/abstract=2354877 or http://dx.doi.org/10.2139/ssrn.2354877

Alfred Hamerle

University of Regensburg - Faculty of Business, Economics & Information Systems ( email )

Universitstrasse 31
Regensberg D-93053
Germany

Robert Rauhmeier

KfW Bankengruppe ( email )

Palmengartenstraße 5-9
Frankfurt a. M., 60325
Germany

Daniel Roesch (Contact Author)

University of Regensburg ( email )

Chair of Statistics and Risk Management
Faculty of Business, Economics and BIS
Regensburg, 93040
Germany

HOME PAGE: http://www-risk.ur.de/

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