Credit rating analysis with support vector machines and neural networks: a market comparative study
Decision Support Systems - Special issue: Data mining for financial decision making
A Multi-criteria Convex Quadratic Programming model for credit data analysis
Decision Support Systems
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In consumer lending the traditional approach is to develop a credit scorecard which ranks borrowers according to their risk of defaulting. Bads have a high risk of default and Goods have a low risk. To maximise the profitability of credit card customers, a second classification between revolvers and transactors becomes important. Building a transactor/revolver scorecard together with a Good/Bad scorecard over the revolvers, gives rise to a risk decision system whose ranking of risk is comparable with the standard approach. The paper develops a profitability model of card users including the transactor/revolver score leads. This gives more accurate profitability estimates than models which ignore the transactor/revolver split.