Construction and Test of the Logistic Regression Analysis Model in China listed Companies Early Financial Warning
Financial crisis early warning analysis is important for both enterprises and commercial banks and various investors. In this thesis, the author choose some A stock companies, which are marked ST companies because of abnormal financial standing in Shanghai and Shenzhen in 2006, form the financial crisis sample, and choose some similar sized listed companies in same industry as matching sample, adopt the three-year financial data of listed companies. Taking shareholder rights growth rate, total property turnover rate, property net profit rate and property liability rate as the final variants, set up Logistic multi-regression model, conduct the case analysis of financial crisis early warning.
Listed Companies Financial Crisis Early Warning Logistic Model
CHEN Yanli
The Business School of HoHai University, P.R.China, 213022
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-8
2008-08-14(万方平台首次上网日期,不代表论文的发表时间)