Credit risk analysis for financial corporations
In this study, numerous statistical models like multiple discriminant analysis, ordinal logit and probit regression analysis, cluster analysis, neural network analysis, and decision tree were used to predict the credit ratings of US financial corporations. It was discovered that principal components analysis