We present a double-auction artificial financial market populated by heterogeneous agents who trade one risky asset in exchange for cash. Agents issue random orders subject to budget constraints. The limit prices of orders may depend on past market volatility. Limit orders are stored in the book...

Despite many years of active research in the field and a number of fruitful applications, agent-based modeling has not yet made it through to the top ranking economic journals. In this paper we investigate why. We look at the following problematic areas: (i) interpretation of the simulation...

In this paper, a simulation of high-frequency market data is performed with the Genoa Artificial Stock Market. In the market model, heterogeneous agents trade a risky asset in exchange for cash. Agents have zero intelligence and issue random limit or market orders depending on their budget...

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We model an agent-based economy in which heterogeneous agents (firms and a bank) interact in the financial markets. The heterogeneity is due to the balance sheet conditions and to size. In our simulations, at the aggregate level, output displays changes in trend and volatility giving rise to...

We introduce a generic simulation framework suitable for agent-based simulations featuring the support of heterogeneous agents, hierarchical scheduling, and flexible specification of design parameters. One key aspect of this framework is the design specification: we use a format based on the...