Agent-Based Methods in Economics and Finance

Simulations in Swarm

  • Francesco Luna
  • Alessandro Perrone

Part of the Advances in Computational Economics book series (AICE, volume 17)

Table of contents

  1. Front Matter
    Pages i-xxxi
  2. A Modest Proposal…

    1. Front Matter
      Pages 1-1
  3. New Tools

    1. Front Matter
      Pages 37-37
    2. László Gulyás, Tibor Vincze
      Pages 39-61
  4. Financial Applications

    1. Front Matter
      Pages 109-109
    2. Alessandra Cassar, Nigel Duffy
      Pages 111-131
    3. Marco Corazza, Alessandro Perrone
      Pages 133-155
    4. Domenico Delli Gatti, Mauro Gallegati, Roberto Leombruni
      Pages 157-186
  5. Other Contributions

    1. Front Matter
      Pages 229-229
    2. Davide Fiaschi, Nicolas Garrido, Pier Mario Pacini
      Pages 231-262
    3. Massimo Daniele Sapienza, Magda Fontana
      Pages 283-304
  6. Back Matter
    Pages 305-306

About this book


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

Editors and affiliations

  • Francesco Luna
    • 1
  • Alessandro Perrone
    • 2
  1. 1.EU2 Eastern DivisionInternational Monetary FundUSA
  2. 2.Università di Venzia Ca’FoscariVeniceItaly

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5238-9
  • Online ISBN 978-1-4615-0785-7
  • Series Print ISSN 0929-130X
  • Buy this book on publisher's site
Industry Sectors
Finance, Business & Banking