Show all articles

Credit-Scoring Methods (in English)

Year & volume: 2006 (VOL. 56) Issue: 3 -4 Pages: 152-167
JEL classification: B41, C14, D81, G21, P43
Keywords: discrimination analysis, pattern recognition, banking sector, retail loans, credit scoring
Abstract
The paper reviews the best-developed and most frequently applied methods of credit scoring employed by commercial banks when evaluating loan applications. The authors concentrate on retail loans ? applied research in this segment is limited, though there has been a sharp increase in the volume of loans to retail clients in recent years. Logit analysis is identified as the most frequent credit-scoring method used by banks. However, other nonparametric methods are widespread in terms of pattern recognition. The methods reviewed have potential for application in post-transition countries.