Heterogeneous Behaviors and Direct Interactions in Artificial Stock Markets

Abstract

In this paper, we explore the dynamic of stock prices over time by developing an agent-based market. The developed artificial market is comprised of heterogeneous agents occupied with various behaviors and trading strategies. The developed market has property of direct interaction. The environment takes the form of network structure namely, it manifests as a scale-free network. The information will flow between the agents through the linkages that connect them. The model is subjected to testing for goodness of fit to the empirical observations of the S&P500. Furthermore, the effect of increasing the population size of various agent types is investigated.