Information dissemination in an experimentally based agent-based stock market
This paper builds an agent-based model to reproduce the results of an experimental stock market that studies how the market aggregates private information. The aim is to use experiments and agent-based modeling to analyze the trading behavior in experimental stock markets. Using the experimental environment and results, it is possible to formulate a hypothesis about the subjects’ behavior and thereby formalize (algorithmically) the trading behavior in an agent-based model. This may lead to a better understanding of how the market converges to an equilibrium and of the mechanism that allows dissemination of private information in the market. Copyright Springer-Verlag Berlin Heidelberg 2013
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Volume (Year): 8 (2013)
Issue (Month): 1 (April)
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