Adaptive consumer credit classification

Adaptive consumer credit classification

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Article ID: iaor20126841
Volume: 63
Issue: 12
Start Page Number: 1645
End Page Number: 1654
Publication Date: Dec 2012
Journal: Journal of the Operational Research Society
Authors: , , ,
Keywords: forecasting: applications
Abstract:

Credit scoring methods for predicting creditworthiness have proven very effective in consumer finance. In light of the present financial crisis, such methods will become even more important. One of the outstanding issues in credit risk classification is population drift. This term refers to changes occurring in the population due to unexpected changes in economic conditions and other factors. In this paper, we propose a novel methodology for the classification of credit applications that has the potential to adapt to population drift as it occurs. This provides the opportunity to update the credit risk classifier as new labelled data arrives. Assorted experimental results suggest that the proposed method has the potential to yield significant performance improvement over standard approaches, without sacrificing the classifier's descriptive capabilities.

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