基于财务指标的我国上市公司信用风险评价研究

上市公司的信用风险评价是当前我国学术研究的热点问题。以我国上市公司为研究对象,选取了2011年末期118家上市公司作为研究样本,其中ST企业44家和非ST企业74家,分别建立了线性判别模型和逻辑回归模型两种信用风险评价模型。通过模型比较发现,两种模型均能对企业的信用风险做出较为准确的判断,但逻辑回归模型的效果更优,具有更高的判别准确率。

An Empirical Research on Credit Risk of Listed Companies in China Based on Financial Indicators

Credit risk evaluation of listed companies has become a focus of academic research in China. Taking listed companies in China as research object, this paper selects 118 listed companies at the end of 2011 as samples, including 44 ST companies and 74 non-ST companies, respectively establishes linear discriminating model and logical regression model, two kinds of credit risk evaluation modes. The results of comparing the two models show that both models can make accurate judgment of credit risks of enterprises, however, the logical regression model is better and has the higher accuracy of linear discriminating