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Realistic Simulation of Financial Markets

Analyzing Market Behaviors by the Third Mode of Science

  • Hajime Kita
  • Kazuhisa Taniguchi
  • Yoshihiro Nakajima

Part of the Evolutionary Economics and Social Complexity Science book series (EESCS, volume 4)

Table of contents

  1. Front Matter
    Pages i-xv
  2. U-Mart System: The First Test Bed of the Third Mode of Science

  3. Applications of Artificial Markets

  4. Back Matter
    Pages 195-197

About this book

Introduction

This book takes up unique agent-based approaches to solving problems related to stock and their derivative markets. Toward this end, the authors have worked for more than 15 years on the development of an artificial market simulator called U-Mart for use as a research and educational tool. A noteworthy feature of the U-Mart simulator compared to other artificial market simulators is that U-Mart is an ultra-realistic artificial stock and their derivative market simulator. For example, it can simulate “arrowhead,” a next-generation trading system used in the Tokyo Stock Exchange and other major markets, as it takes into consideration the institutional design of the entire market. Another interesting feature of the U-Mart simulator is that it permits both human and computer programs to participate simultaneously as traders in the artificial market. In this book, first the details of U-Mart are explained, enabling readers to install and run the simulator on their computers for research and educational purposes. The simulator thus can be used for gaming simulation of the artificial market and even for users as agents to implement their own trading strategies for agent-based simulation (ABS).The book also presents selected research cases using the U-Mart simulator. Here, topics include automated acquisition of trading strategy using artificial intelligence techniques, evaluation of a market maker system to treat thin markets such as those for small and regional businesses, systemic risk analysis of the financial market considering institutional design of the market, and analysis of how humans behave and learn in gaming simulation. New perspectives on artificial market research are provided, and the power, potential, and challenge of ABS are discussed. As explained in this important work, ABS is considered to be an effective tool as the third approach of social science, an alternative to traditional literary and mathematical approaches.

Keywords

Agent-Based Simulation Artificial Market Gaming Simulation Systemic Risk U-Mart

Editors and affiliations

  • Hajime Kita
    • 1
  • Kazuhisa Taniguchi
    • 2
  • Yoshihiro Nakajima
    • 3
  1. 1.Institute for Liberal Arts and SciencesKyoto University InstituteKyotoJapan
  2. 2.Faculty of EconomicsKindai UniversityOsakaJapan
  3. 3.Graduate School of EconomicsOsaka City UniversityOsakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-4-431-55057-0
  • Copyright Information Springer Japan 2016
  • Publisher Name Springer, Tokyo
  • eBook Packages Economics and Finance
  • Print ISBN 978-4-431-55056-3
  • Online ISBN 978-4-431-55057-0
  • Series Print ISSN 2198-4204
  • Series Online ISSN 2198-4212
  • Buy this book on publisher's site