Information Dissemination in an Experimentally Based Agent-Based Stock Market

Jakob Grazzini

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

3 Citazioni (Scopus)


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.
Lingua originaleEnglish
pagine (da-a)179-209
Numero di pagine31
RivistaJournal of Economic Interaction and Coordination
Stato di pubblicazionePubblicato - 2013


  • Agent-based modeling
  • Asymmetric information
  • Experiments
  • Learning
  • Stock Market


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