Advertisement

Network Theory and Agent-Based Modeling in Economics and Finance

  • Anindya S. Chakrabarti
  • Lukáš Pichl
  • Taisei Kaizoji
Book

Table of contents

  1. Front Matter
    Pages i-vi
  2. Anindya S. Chakrabarti, Lukáš Pichl, Taisei Kaizoji
    Pages 1-8
  3. Interactive Models with Boundedly Rational Agents

    1. Front Matter
      Pages 9-9
    2. Alba Ruiz-Buforn, Simone Alfarano, Eva Camacho-Cuena
      Pages 59-85
    3. Alessio Emanuele Biondo
      Pages 87-110
    4. Isao Yagi, Yuji Masuda, Takanobu Mizuta
      Pages 111-131
    5. Atushi Ishikawa, Shouji Fujimoto, Takayuki Mizuno
      Pages 133-157
    6. Anindya S. Chakrabarti, Ratul Lahkar
      Pages 175-201
    7. Tsung-Wen Yen, Mikhail Filippov, Siew Ann Cheong
      Pages 227-246
    8. Shakti N. Menon, V. Sasidevan, Sitabhra Sinha
      Pages 265-281
  4. Financial and Economic Linkages

    1. Front Matter
      Pages 283-283
    2. D. Ladley, C. T. M. Tran
      Pages 285-300
    3. Takuya Kaneko, Masato Hisakado
      Pages 301-312
    4. Morito Hashimoto, Setsuya Kurahashi
      Pages 353-373
    5. Bikesh Raj Upreti, Philipp Martin Back, Pekka Malo, Oskar Ahlgren, Ankur Sinha
      Pages 375-404
    6. Fernando Garcia Alvarado
      Pages 405-428
    7. Surajit Borkotokey, Loyimee Gogoi, Rajnish Kumar
      Pages 429-458

About this book

Introduction

This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. 

Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Keywords

Network Theory Interacting Agents Agent-Based Modeling Evolutionary Dynamics Economic and Financial Networks Complex Adaptive Systems

Editors and affiliations

  • Anindya S. Chakrabarti
    • 1
  • Lukáš Pichl
    • 2
  • Taisei Kaizoji
    • 3
  1. 1.Indian Institute of Management AhmedabadAhmedabadIndia
  2. 2.College of Liberal ArtsInternational Christian UniversityTokyoJapan
  3. 3.Division of Social SciencesInternational Christian UniversityMitakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-8319-9
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Economics and Finance
  • Print ISBN 978-981-13-8318-2
  • Online ISBN 978-981-13-8319-9
  • Buy this book on publisher's site