A new dynamic modeling framework for credit risk assessment
New approach to deal with changing environment in credit scoring modeling. Forecasting accuracy may significantly change on the presence of drifts in the context. New incoming data improve the knowledge about the new context. In stable conditions, old information may remain meaningful for predicting default.
dynamic modeling credit scoring credit risk modeling temporal degradation default concept drift memory