Research on learning behavior of traders in artificial stock market based on genetic algorithm

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@InProceedings{Jinbo:2011:ICEE,
  author =       "Wang Jinbo and Su Bo",
  booktitle =    "E-Business and E-Government (ICEE), 2011 International
                 Conference on",
  title =        "Research on learning behavior of traders in artificial
                 stock market based on genetic algorithm",
  year =         "2011",
  note =         "in chinese",
  DOI =          "doi:10.1109/ICEBEG.2011.5882429",
  abstract =     "In this paper, one kind of artificial stock market
                 which based on genetic algorithm is built. By using
                 statistic theories and methods, learning behaviour of
                 traders in this market is researched. In order to
                 survive in the stock market, traders should learn from
                 each other as new information becoming available and
                 adapt their behaviour accordingly over time. It is the
                 interacting of the adaptive traders causing the
                 complexity of stock market and the abnormal phenomena
                 of the market. Therefore, the conclusions based on this
                 study have the theoretical and realistic
                 significance.",
  keywords =     "genetic algorithms, genetic programming, Banking,
                 Pricing, Stock markets, Time series analysis,
                 Artificial Stock Market, Individual Learning, Social
                 Learning",
  notes =        "Also known as \cite{5882429}",
}

Genetic Programming entries for Wang Jinbo Su Bo

Citations