• DocumentCode
    3326034
  • Title

    Stock market feedback trading, fat-tail distribution and return autocorrelation

  • Author

    Zhao Peng-ju ; Liu Yu-min

  • Author_Institution
    Manage. Sch., Northwestern Polytech. Univ., Xian
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    1269
  • Lastpage
    1274
  • Abstract
    Feedback is the trading strategy of irrational investors. Positive feedback traderspsila buying or selling behavior is decided by the stock price of the preceding period. On the presence of positive feedback trading, stock market returns show characteristics which are different from these assumed in the classical financial theory, and thus make the stock market fluctuate extraordinarily. This essay establishes a model with the participation of positive feedback trader and rational trader. The irrational traders adopt feedback trading strategy. Based on the model, we used Monte Carlo simulation method to produce a time series. We computed the kurtosis, tail-index and the autocorrelation coefficient of the time series and compared with the relevant quantity of Shanghai stock market index time series. It turned out that our model can provide a powerful expression to the fat-tail and autocorrelation characteristics of stock market return.
  • Keywords
    Monte Carlo methods; investment; stock markets; time series; Monte Carlo simulation; buying behavior; fat-tail distribution; feedback trading; financial theory; index time series; irrational investor; irrational trader; kurtosis; return autocorrelation; selling behavior; stock market; stock price; tail-index; Autocorrelation; Conference management; Engineering management; Feedback; Finance; Frequency; Gaussian distribution; Security; Stock markets; Testing; behavior finance; fat-tail distribution; feedback trading; irrational trader; return autocorrelation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-2387-3
  • Electronic_ISBN
    978-1-4244-2388-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2008.4669071
  • Filename
    4669071