• 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