Title : 
Empirical research on financial distress early warning based on ternary Logistic model
         
        
        
            Author_Institution : 
Econ. & Manage. Dept., Huainan Normal Univ., Huainan, China
         
        
        
        
        
        
        
            Abstract : 
Most scholars applied dichotomy to the company financial distress research, which classifies listed companies into two categories. We apply trisection method, which classifies listed companies into three categories: financial distress companies, financial unstable companies and financial healthy companies, and apply principal component analysis method and ternary Logistic model to construct a financial distress prediction model. The empirical results indicate that the financial distress prediction model based on ternary Logistic model has better forecast ability and lower misjudge costs.
         
        
            Keywords : 
finance; forecasting theory; logistics; principal component analysis; company financial distress research; financial distress early warning; principal component analysis; ternary logistic model; trisection method; Analytical models; Companies; Finance; Indexes; Logistics; Mathematical model; Predictive models; financial distress; principal component analysis model; ternary Logistic model;
         
        
        
        
            Conference_Titel : 
Business Management and Electronic Information (BMEI), 2011 International Conference on
         
        
            Conference_Location : 
Guangzhou
         
        
            Print_ISBN : 
978-1-61284-108-3
         
        
        
            DOI : 
10.1109/ICBMEI.2011.5916969