DocumentCode :
2111128
Title :
The research on stock price forcast methods
Author :
Su, Peng ; Hu, Yanjie ; Yu, Youlan
Author_Institution :
School of Economics and Management, Beihang University, Beijing, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
1633
Lastpage :
1636
Abstract :
In order to effectively predict the stock price in Chinese security market, this study establishes GM and SVM model; it analyzes the influence of financial indicators on listed companies and compares different stock price forecast methods. The research takes Chinese listed companies in shanghai A-stock market as sample, pretreats and introduces the financial indicators into the models, and finally compares the prediction effects of different models. As have been present in the thesis, different forecast methods should be used in different economic cycles, due to the demand for perfect predicting effects and results.
Keywords :
Browsers; Graphical user interfaces; Integrated circuits; Internet; Malware; Servers; Transforms; economic environment; grey model; stock price prediction; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5689759
Filename :
5689759
Link To Document :
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