Studies of Discriminant Analysis and Logistic Regression Model Application in Credit Risk for Chinas Listed Companies
With the appearance of listed companies credit issues and frequent credit crisis, investors are increasingly concerned about credit risk analysis for listed companies. In view of the current development methods of credit risk analysis and the importance of identifying corporate financial risk, this paper designed an effective indicator system and established the credit evaluation models of Chinas listed companies by taking advantage of their 2009 financial data. Combined with the reality of Chinas listed companies, we use the established models to discriminate and analyze. The result of empirical research on the credit risk analysis for listed companies is that Logistic regression model is superior to discriminant analysis model.
credit risk discriminant analysis logistic regression model principal component analysis
ZHU Konglai LI Jingjing
University of Jinan, Jinan, Shandong, P.R.China, 250022 Shandong University of Finance, Jinan, Shand Shandong University of Finance, Jinan, Shandong, P.R.China, 250014
国际会议
威海
英文
127-134
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）