DocumentCode
1841666
Title
Empirical research on financial distress early warning based on ternary Logistic model
Author
Hong-jun, Dai
Author_Institution
Econ. & Manage. Dept., Huainan Normal Univ., Huainan, China
Volume
1
fYear
2011
fDate
13-15 May 2011
Firstpage
447
Lastpage
450
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5916969
Filename
5916969
Link To Document