DocumentCode :
3173254
Title :
The empiricial research of listed company financial distress prediction based on financial information
Author :
Yun-fei, Li ; Yan-mei, Chen ; Jun, Wang
Author_Institution :
Sch. of Manage., Xi´´an Polytech. Univ., Xi´´an, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
1659
Lastpage :
1662
Abstract :
Based on financial information of listed manufacturing companies, the research aims at predicting financial distress using the integrated model of factor analysis and discriminant analysis to establish the model, and tests the prediction accuracy of the model. The results show that the model in this paper has higher discriminant precision, and it makes further explanation that the choice of financial ratios is very successful. Meanwhile, the predicted results confirm that the closer the time of financial distress, the more accurate the prediction effect.
Keywords :
economic cycles; financial management; discriminant analysis; factor analysis; financial information; financial ratios; integrated model; listed company financial distress prediction; Analytical models; Companies; Predictive models; Profitability; Testing; discriminant analysis; factor analysis; financial distress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010552
Filename :
6010552
Link To Document :
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