Article ID: | iaor2014453 |
Volume: | 65 |
Issue: | 3 |
Start Page Number: | 443 |
End Page Number: | 453 |
Publication Date: | Mar 2014 |
Journal: | Journal of the Operational Research Society |
Authors: | Ansell Jake, Andreeva Galina, Barrios Luis Javier Snchez |
Keywords: | credit scoring |
This paper presents for the first time a relative profit measure for scoring purposes and compares results with those obtained from monetary scores. The suggested measure is the cumulative profit relative to the outstanding debt. It can also be interpreted as the percentage coverage against default. Monetary and relative measures are compared with both being estimated using direct and indirect methods. Direct scores are obtained from borrower attributes, while indirect scores are predicted using the estimated probabilities of default and repurchase. Results show that specific segments of customers are profitable in both monetary and relative terms. The best performing indirect models use the probabilities of default within 12 months on books. This agrees with existing banking practice of default estimation. Direct models outperform indirect models. Relative scores would be preferred under more conservative standpoints towards default because of unstable conditions and if the aim is to penetrate relatively unknown segments. Further ethical considerations justify their use in an inclusive lending context.