Understanding the implications of algorithmic trading calls for modeling financial markets at
a level of fidelity that often precludes analytic solution. We describe how agent-based …

Financial market activity is increasingly controlled by algorithms, interacting through
electronic markets. Unprecedented information response times, autonomous operation, use …

Computer automation has the potential, just starting to be realized, of transforming the
design and operation of markets, and the behaviors of agents trading in them. We discuss …

This chapter explores the state of the emerging practice of designing markets by the use of
agent-based modeling, with special reference to electricity markets and computerized (on …

Agent-based modelling (ABM) is broadly adopted to empirically study the market
microstructure. Researchers set up market mechanisms and behaviour rules for participating …

We construct a computer simulation of a repeated double-auction market, designed to match
those in experimental-market settings with human subjects, to model complex interactions …

Agent-based simulation brings a host of possibilities for the future of economics. It provides a
new analytical tool for both economics and mathematics. For a century and a half …

This paper uses the development of multi-agent market models to present a unified
approach to the joint questions of how financial market movements may be simulated …

The dynamics of financial markets is subject of much debate among researchers and
financial experts trying to understand and explain how financial markets work and traders …

In this study, we explore the dynamics of the stock market using an agent-based simulation
platform. Our approach involves creating a multi-strategy market where each agent …