Abstract
This paper develops a credit scoring model which incorporates financial ratios as inputs by applying the statistical technique of discriminant analysis. The objective is to identify and analyse the common financial characteristics which distinguish bad from good accounts. The sample is drawn from the loan portfolio of a major local bank in Singapore. The results indicate that there is a 95 per cent classification accuracy for the model presented.
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