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Time series properties of an artificial stock market

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  • LeBaron, Blake
  • Arthur, W. Brian
  • Palmer, Richard

Abstract

This paper presents results from an experiemtal computer simulated stock market. In this market artificial intelligence algorithms take on the role of traders. They make predictions about the future, and buy and sell stock an indicated by their expectations of future risk and return.
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Suggested Citation

  • LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
  • Handle: RePEc:eee:dyncon:v:23:y:1999:i:9-10:p:1487-1516
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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