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
Nowadays, investors are more willing to make investment on exchange market to gain much more superior returns. There is an increasing demand on credit information of corporations. However, there are only a few of Hong Kong corporations have been evaluated by credit rating agencies.