DocumentCode
2230510
Title
The Long-Term Predictive Effect of SVM Financial Crisis Early-Warning Model
Author
Hu, Yanjie ; Su, Peng ; Tang, Fei ; Hao, Xuchun
Author_Institution
Sch. of Econ. & Manage., Beihang Univ., Beijing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
4573
Lastpage
4576
Abstract
Being different from the previous studies, a comprehensive indicator system is constructed in this paper in order to reflect the influence the accounting information quality and corporate governance have on SVM model. This system includes financial indicators, the indicators of accounting information quality and those of corporate governance. Then taking Chinese listed companies of A-stock market in Shenzhen and Shanghai as the sample, SVM model is used to substantiate the superiority of the system. Furthermore, through inspecting the predictive effect of SVM model in the long run, it comes to conclusion that SVM financial early-warning model not only has short-term predictive validity, but also has the long-term one.
Keywords
financial data processing; support vector machines; A-stock market; accounting information quality; comprehensive indicator system; corporate governance; financial crisis early-warning model; financial indicators; support vector machine; Companies; Conference management; Crisis management; Economic forecasting; Economic indicators; Financial management; Information science; Predictive models; Quality management; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.1230
Filename
5455441
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