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 />
The rating information available on all cases as of the earlier cutoff date<br />
(1; see chart 48) is used. The second step involves adding status information as<br />
of the later cutoff date (2) for all cases. In this process, all cases which were<br />
assigned to a default class at any point between the cutoff dates are classified<br />
as bad; all others are considered good. Cases which no longer appear in the sample<br />
as of cutoff date (2) but did not default are also classified as good. In these<br />
cases, the borrower generally repaid the loan properly <strong>and</strong> the account was<br />
deleted. Cases for which no rating information as of cutoff date (1) is available<br />
(e.g. new business) cannot be included in the sample as their status could not be<br />
observed over the entire forecasting horizon.<br />
Chart 49: Example of <strong>Rating</strong> <strong>Validation</strong> Data<br />
Chart 50: Curve of the Default Rate for each <strong>Rating</strong> Class in the Data Example<br />
On the basis of the resulting sample, various analyses of the rating procedureÕs<br />
discriminatory power are possible. The example shown in chart 49<br />
forms the basis of the explanations below. The example refers to a rating model<br />
with 10 classes. However, the procedures presented can also be applied to a far<br />
finer observation scale, even to individual score values. At the same time, it is<br />
necessary to note that statistical fluctuations predominate in the case of small<br />
100 Guidelines on Credit Risk Management