An Empirical Study On Enterprise Credit Risk Based On Logistic Regression Model

With the expansion of China’s credit market, the market participants pay more and more attention to credit risk, and credit rating agencies has a growing market position. Although foreign credit rating industry has gone through one hundred years, but in china, this is still an emerging industry. Domestic scholars have been dedicated to finding credit rating methods for domestic enterprises. This essay is about a rating model which based on the logistic regression model and some improvement, then apply it on empirical analysis for a certain industry with similar characteristics.During modeling process, there some difficulties as following:First, the credit status is affected by many factors, how to choose the strongest risk Explanatory some of the indicators is the most important; Second, how to select proper sample selection will direct impact on the feasibility of the model. Three indicators are selected through significance test and logistic stepwise selection. The accuracy of this model in experimental group is more than90%and75%in the forecast group.’Finally, the essay come up with some defects, such as poor precision and accuracy of data, lack of precision in model predictions. Hope future studies can be improved.