Information dissemination in an experimentally based agent-based stock market

Regular Article


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.


Agent-based modeling Experiments Stock market   Asymmetric information Learning 


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute of Economic Theory and Quantitative Methods Catholic University of MilanMilanoItaly

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