Agent-Based Methods in Economics and Finance

1. Front Matter

   Pages i-xxxi

   PDF

2. A Modest Proposal…

   1. Front Matter

      Pages 1-1

      PDF

   2. Prospect for an Economics Framework for Swarm

      • Charlotte Bruun

      Pages 3-35

3. New Tools

   1. Front Matter

      Pages 37-37

      PDF

   2. Automated Trading Experiments with Maml

      • László Gulyás, Tibor Vincze

      Pages 39-61

   3. VSB — Visual Swarm Builder — A Visual tool for Swarm Agent Based Environment

      • Alessandro Perrone, Marco Tenuti

      Pages 63-85

   4. SWIEE — a Swarm Web Interface for Experimental Economics

      • Riccardo Boero

      Pages 87-107

4. Financial Applications

   1. Front Matter

      Pages 109-109

      PDF

   2. Contagion of Financial Crises un- der Local and Global Networks

      • Alessandra Cassar, Nigel Duffy

      Pages 111-131

   3. Simulating Fractal Financial Markets

      • Marco Corazza, Alessandro Perrone

      Pages 133-155

   4. Growing Theories from the “Bottom up”. A Simple Entry-Exit Model

      • Domenico Delli Gatti, Mauro Gallegati, Roberto Leombruni

      Pages 157-186

   5. Cognitive Agents Behaving in a Simple Stock Market Structure

      • Pietro Terna

      Pages 187-227

5. Other Contributions

   1. Front Matter

      Pages 229-229

      PDF

   2. Production Partnerships Formation with Heterogeneous Agents: a Simulation in SWARM

      • Davide Fiaschi, Nicolas Garrido, Pier Mario Pacini

      Pages 231-262

   3. Casinoworld:An Agent-based Model with Heterogeneous Risk Preferences and Adaptive Behavior

      • Michael Harrington, Darold Higa

      Pages 263-281

   4. Search in Artificial Labour Makets: A Simulation Study

      • Massimo Daniele Sapienza, Magda Fontana

      Pages 283-304

6. Back Matter

   Pages 305-306

   PDF

This second book on financial and economic simulations in Swarm marks the continued progress by a group of researchers to incorporate agent-based computer models as an important tool within their disci­ pline. It is encouraging to see such a clear example of Swarm helping to foster a community of users who rely on the Swarm framework for their own analyses. Swarm aims at legitimizing agent-based computer models as a tool for the study of complex systems. A further goal is that a common base framework will lead to the growth of user communities in specific areas of application. By providing an organizing framework to guide the development of more problem-specific structures, and by dealing with a whole range of issues that affect their fundamental correctness and their ability to be developed and reused, Swarm has sought to make the use of agent-based models a legitimate tool of scientific investigation that also meets the practical needs of investigators within a community.

• Finance
• agents
• complex system
• complex systems
• computational economics
• economics
• experimental economics
• financial markets
• market structure
• model
• modeling
• simulation
• simulations

• EU2 Eastern Division, International Monetary Fund, USA

  Francesco Luna

• Università di Venzia Ca’Foscari, Venice, Italy

  Alessandro Perrone

Francesco Luna is a specialist in Computable Economics

Policies and ethics