Rating Models and Validation - Oesterreichische Nationalbank
Rating Models and Validation - Oesterreichische Nationalbank
Rating Models and Validation - Oesterreichische Nationalbank
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<strong>Rating</strong> <strong>Models</strong> <strong>and</strong> <strong>Validation</strong><br />
Chart 45: Conditional Default Rates (Example: Default Rates on a Logarithmic Scale)<br />
When the Markov property is applied to the transition matrix, the conditional<br />
default rates converge toward the portfolioÕs average default probability<br />
for all rating classes as the time horizon becomes longer. In this process, the<br />
portfolio attains a state of balance in which the frequency distribution of the<br />
individual rating classes no longer shifts noticeably due to transitions. In practice,<br />
however, such a stable portfolio state can only be observed in cases where<br />
the rating class distribution remains constant in new business <strong>and</strong> general circumstances<br />
remain unchanged over several years (i.e. seldom).<br />
6 Validating <strong>Rating</strong> <strong>Models</strong><br />
The term ÒvalidationÓ is defined in the minimum requirements of the IRB<br />
approach as follows:<br />
The institution shall have a regular cycle of model validation that includes monitoring<br />
of model performance <strong>and</strong> stability; review of model relationships; <strong>and</strong> testing<br />
of model outputs against outcomes. 66<br />
Chart 46 below gives an overview of the essential aspects of validation.<br />
The area of quantitative validation comprises all validation procedures in<br />
which statistical indicators for the rating procedure are calculated <strong>and</strong> interpreted<br />
on the basis of an empirical data set. Suitable indicators include the<br />
modelÕs a <strong>and</strong> b errors, the differences between the forecast <strong>and</strong> realized default<br />
rates of a rating class, or the Gini coefficient <strong>and</strong> AUC as measures of discriminatory<br />
power.<br />
In contrast, the area of qualitative validation fulfills the primary task of<br />
ensuring the applicability <strong>and</strong> proper application of the quantitative methods<br />
in practice. Without a careful review of these aspects, the ratingÕs intended purpose<br />
cannot be achieved (or may even be reversed) by unsuitable rating procedures<br />
due to excessive faith in the model. 67<br />
66 Cf. EUROPEAN COMMISSION, draft directive on regulatory capital requirements, Annex D-5, No. 18.<br />
67 Cf. EUROPEAN COMMISSION, Annex D-5, No. 41 ff.<br />
94 Guidelines on Credit Risk Management