An Empirical Analysis of the Financial Distress Prediction Based on Data Mining

摘要

With 112 listed companies from A-share market in Chinese securities markets as research sample,authors selected 56 newly ST companies among 2007 and 2008 as distressed enterprises group,and other 56 non-ST companies as comparison group. 13 financial indicators of these companies at three year before being ST were screened out,and the factor analysis and logistic regression were conducted.It found that the effect of the regression as well as the prediction are quite good,so it should be useful as basic discrimination for investors,creditors and regulatory agencies.