Evaluating credit risk models using loss density forecasts
The evaluation of credit portfolio risk models is an important issue for both banks and regulators. It is impeded by the scarcity of credit events, long forecasthorizons, and data limitations. To make efficient use of available information, the evaluation can be based on a model's density forecasts, instead of examining only the accuracy of point forecasts such as value-at-risk.
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