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Network Theory and Agent-Based Modeling in Economics and Finance

Editors: Chakrabarti, Anindya S., Pichl, Lukáš, Kaizoji, Taisei (Eds.)

  • Points out how network theory and agent-based modeling are becoming very influential in economics literature
  • Explains that financial and economic networks have huge policy implications in stabilizing economic fluctuations
  • Shows how to use an integrative framework to link the behavior of the parts to the behavior of the economy as a whole
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Buy this book

eBook 67,82 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: January 13, 2020
  • ISBN 978-981-13-8319-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 114,39 €
price for Spain (gross)
  • Due: January 13, 2020
  • ISBN 978-981-13-8318-2
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

Anindya S. Chakrabarti, Indian Institute of Management Ahmedabad
Lukas Pichl, International Christian University
Taisei Kaizoji, International Christian University

Table of contents (21 chapters)

Table of contents (21 chapters)
  • Complexity and Emergence: A New Paradigm for Economic Modeling

    Pages 1-8

    Chakrabarti, Anindya S. (et al.)

  • Information Selection Efficiency in Networks: A Neurocognitive-Founded Agent-Based Model

    Pages 11-34

    Vié, Aymeric

  • Diversification by Self-reinforcement of Preferences and Change of Interaction Type

    Pages 35-58

    Iwanaga, Saori (et al.)

  • Price Distortions and Public Information: Theory, Experiments, and Simulations

    Pages 59-85

    Ruiz-Buforn, Alba (et al.)

  • Order Book on Financial Networks

    Pages 87-110

    Biondo, Alessio Emanuele

Buy this book

eBook 67,82 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: January 13, 2020
  • ISBN 978-981-13-8319-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 114,39 €
price for Spain (gross)
  • Due: January 13, 2020
  • ISBN 978-981-13-8318-2
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Network Theory and Agent-Based Modeling in Economics and Finance
Editors
  • Anindya S. Chakrabarti
  • Lukáš Pichl
  • Taisei Kaizoji
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-8319-9
DOI
10.1007/978-981-13-8319-9
Hardcover ISBN
978-981-13-8318-2
Edition Number
1
Number of Pages
VI, 458
Number of Illustrations
25 b/w illustrations, 119 illustrations in colour
Topics