DocumentCode
2078596
Title
The Application of DEA Model in Predicting Corporate Financial Risks
Author
He Ping-lin ; Yu Zhong-fu ; Tao Jie
Author_Institution
Sch. of Bus. Adm., North China Electr. Power Univ., Beijing, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
This paper applies data mining technique and the DEA model to a sample of 87 ST listed companies in the securities market in China and 174 matching normal companies, with a view to identifying the relationship between the relevant variables and corporate financial risks. The research result indicates that asset-liability ratio, the rate of the current liability and the growth rate of operating income among others, are the greatest contributors to corporate financial risks and that the efficiency of the company varies in accordance with the varying macro-economic situations.
Keywords
data envelopment analysis; data mining; financial management; risk analysis; DEA model; corporate financial risks prediction; data mining technique; macroeconomic situations; Airports; Companies; Conference management; Data envelopment analysis; Data mining; Data security; Decision making; Financial management; Helium; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5301238
Filename
5301238
Link To Document