Information dissemination in an experimentally based agent-based stock market

被引：0
|
作者：
Jakob Grazzini
机构：
[1] Catholic University of Milan,Institute of Economic Theory and Quantitative Methods
来源：
Journal of Economic Interaction and Coordination | 2013年 / 8卷
关键词：
Agent-based modeling; Experiments; Stock market ; Asymmetric information; Learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：179 / 209
页数：30
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