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