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 LIP Logistic multi-regression model. conduct the case analysis of financial crisis early warning