Title :
Notice of Retraction
An empirical analysis of the financial distress prediction based on data mining
Author :
Luzhuang Wang ; Hong Zhou ; Jingyi Wang
Author_Institution :
City Coll., Sch. of Bus., Zhejiang Univ., Hangzhou, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With 112 listed companies from A-share market in Chinese securities markets as research sample, authors selected 56 newly ST companies among 2007 and 2008 as distressed enterprises group, and other 56 non-ST companies as comparison group. 13 financial indicators of these companies at three year before being ST were screened out, and the factor analysis and logistic regression were conducted. It found that the effect of the regression as well as the prediction are quite good, so it should be useful as basic discrimination for investors, creditors and regulatory agencies.
Keywords :
data mining; financial management; logistics data processing; regression analysis; A-share market; Chinese securities market; data mining; distressed enterprises group; factor analysis; financial distress prediction; financial indicator; logistic regression; Cities and towns; Companies; Data mining; Data security; Dynamic range; Financial management; Forward contracts; Logistics; Predictive models; Regression analysis; Data mining; Factor analysis; Financial distress prediction; Logistic model;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485282
