• DocumentCode
    1566550
  • Title

    Predictability of Shanghai Stock Market by Agent-based Mix-game Model

  • Author

    Gou, Chengling

  • Author_Institution
    Dept. of Phys., Beijing Univ. of Aeronaut. & Astronautics
  • Volume
    3
  • fYear
    2005
  • Firstpage
    1651
  • Lastpage
    1655
  • Abstract
    This paper reports the effort of using agent-based mix-game model to predict financial time series. It introduces simple generic algorithm into the prediction methodology and gives an example of its application to forecasting Shanghai Index. The results show that this prediction methodology is effective and agent-based mix-game model is a potential good model to predict time series of financial markets
  • Keywords
    game theory; multi-agent systems; stock markets; time series; Shanghai stock market; agent-based mix-game model; financial time series; generic algorithm; prediction methodology; Collaboration; Economic forecasting; Laboratories; Physics; Prediction algorithms; Predictive models; Stock markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614947
  • Filename
    1614947