Examples of Overfitting Encountered When Building Private Firm Default Prediction Models

Topics:
Commercial Lending
Tags:
Credit Risk Management,
Financial Services
Source:
Donald R. Frey & Co.

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Overview: The key to building default prediction models, if they are to be incorporated into credit risk management systems, is to build the most powerful model possible subject to the constraints that it is transparent, usable, and intuitive. In this process, we must constantly be on guard for whether or not we have overfit the data. This paper presents two examples of overfitting that is encountered while building private firm models. These issues, if not detected, can reduce the usability of the model and overstated the true predictive power of the model in real credit decision-making.

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Format: PDF | Size: 246KB | Date: Apr 2005 | Pages: 14


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