DocumentCode :
483245
Title :
Identification Model of Logistic Regression Analysis on Listed Firms´ Frauds in China
Author :
Chen Xiaoxin ; Ye Rong
Author_Institution :
Sch. of Inf. Manage., Jiangxi Univ. of Finance & Econ., Nanchang
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
385
Lastpage :
388
Abstract :
The identification of corporation accounting frauds is a major difficulty in financial study. This article establishes an identifying model of financial frauds of Chinese listed firms by adopting Logistic regression analysis. Then it defines public companies whose accounting statements are rejected or denied by register accountant in Shanghai & Shenzhen security market as " corporation with financial frauds" and selects 88 corporations which contain 44 companies with financial frauds and 44 companies without financial frauds as samples of study to build the Logistic regression identifying model for financial frauds of listed firms. Appling the model to test samples which contain 30 firms which 15 companies with financial frauds and 15 companies without financial frauds, it possesses good identification ability, because accurate rate of its identification is 93.33%.
Keywords :
accounting; fraud; regression analysis; China; Chinese listed firms; financial frauds; logistic regression analysis; Data mining; Finance; Information analysis; Information management; Logistics; Regression analysis; Security; Statistical analysis; Stock markets; Testing; financial frauds; listed firms; logistic regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.35
Filename :
4771956
Link To Document :
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