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- W2425956735 abstract "ABSTRACTTraditional credit risk assessment models do not consider the time factor; they only think of whether a customer will default, but not the when to default. The result cannot provide a manager to make the profit-maximum decision. Actually, even if a customer defaults, the financial institution still can gain profit in some conditions. Nowadays, most research applied the Cox proportional hazards model into their credit scoring models, predicting the time when a customer is most likely to default, to solve the credit risk assessment problem. However, in order to fully utilize the fully dynamic capability of the Cox proportional hazards model, time-varying macroeconomic variables are required which involve more advanced data collection. Since short-term default cases are the ones that bring a great loss for a financial institution, instead of predicting when a loan will default, a loan manager is more interested in identifying those applications which may default within a short period of time when app..." @default.
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- W2425956735 date "2016-01-25" @default.
- W2425956735 modified "2023-10-04" @default.
- W2425956735 title "Establishing decision tree-based short-term default credit risk assessment models" @default.
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- W2425956735 doi "https://doi.org/10.1080/03610926.2014.968730" @default.
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