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
Link To Document :
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