Experimental 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 contribute to the relationship between experiments and agent-based modeling and to understand the behavior of the agents. Using the experimental environment and results, it is possible to formulate a hypothesis about the behavior of the subjects and thereby formalize (algorithmically) the behavior of the traders. This allows a better understanding of how the market converges toward the equilibrium and the mechanism that allows for the dissemination of private information in the market.