DocumentCode
2479127
Title
Empirical research on financial distress prediction of listed corporations with sport vector machines model
Author
Liu, Yiping ; Qiu, Dongfang
Author_Institution
Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut. (NUAA), Nanjing
fYear
2008
fDate
25-27 June 2008
Firstpage
1303
Lastpage
1308
Abstract
Financial index is always an important approach to evaluate companiespsila financial condition. This paper, based on analysis of disadvantages of traditional financial index system, uses way of factor analysis, and extracts nine of the most important common factors from usual financial index, then verifies effectiveness of these common factors by using statistical method. At last, we select seven common factors to construct a new index system in the comprehensive financial evaluation system, and then stakeholders of listed company can conveniently use this integrated evaluation index system to evaluate effectually listed companypsilas financial position.
Keywords
financial management; learning (artificial intelligence); statistical analysis; factor analysis; financial distress prediction; financial index system; listed corporations; sport vector machines model; statistical method; Automation; Economic forecasting; Financial management; Intelligent control; Predictive models; Statistical analysis; factor analysis; financial index; listed company;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593111
Filename
4593111
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