Approaches for credit scorecard calibration: An empirical analysis

Volume: 134, Pages: 213 - 227
Published: Oct 1, 2017
Abstract
Financial institutions use credit scorecards for risk management. A scorecard is a data-driven model for predicting default probabilities. Scorecard assessment concentrates on how well a scorecard discriminates good and bad risk. Whether predicted and observed default probabilities agree (i.e., calibration) is an equally important yet often overlooked dimension of scorecard performance. Surprisingly, no attempt has been made to systematically...
Paper Details
Title
Approaches for credit scorecard calibration: An empirical analysis
Published Date
Oct 1, 2017
Volume
134
Pages
213 - 227
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