• DocumentCode
    3181337
  • Title

    Study on artificial stock market model based on heterogeneous investors

  • Author

    Yao, Shuang ; Zhang, Zhan ; Huang, Weiqiang

  • Author_Institution
    Sch. of Econ. & Manage., Shenyang Univ. of Chem. Technol., Shenyang, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    2418
  • Lastpage
    2421
  • Abstract
    By depicting trade strategy imitation among investors and stock price forming mechanism, we establish an artificial stock market model based on heterogeneous investors with the method of mean field approximation. The model considers both behavioral heterogeneity of investors and structural heterogeneity of investor network. The simulation results reveal that in certain parameter interval, the stock return of artificial market has the same properties as that of real markets, such as volatility clustering, sharp peaks and thick tail distributions, nonlinear time correlation. The investors´ trade strategy imitation tendency and the network average degree have positive relations with return fluctuation level. The trade behaviors of fundamentalists can smooth stock price fluctuations. Thus, fostering institutional investors will favor the steady development of stock market.
  • Keywords
    investment; pricing; stock markets; artificial stock market model; heterogeneous investors; institutional investors; mean investor network; nonlinear time correlation; return fluctuation level; sharp peaks; stock price forming mechanism; thick tail distributions; trade strategy imitation; volatility clustering; Fluctuations; Indexes; Mathematical model; Noise; Stock markets; Switches; artificial stock market; behavioral heterogeneity; heterogeneous investors; structural heterogeneity; stylized facts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010992
  • Filename
    6010992