Testing Corporate Model Prediction Accuracy

Abstract

This paper investigates the predictive accuracies of corporate failure models. We find, through the elimination of biases found in these models, that the success rates for the placing of corporations into their correct categories are overstated. The paper confirms the view that the use of predictive corporate distress models should not be the sole criterion for making a lending decision.