Network Theory and Agent-Based Modeling in Economics and Finance - Softcover

Softcover

ISBN 10: 9811383219 ISBN 13: 9789811383212

Publisher: Springer, 2020

Synopsis

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 this title

About the Author

Anindya S. Chakrabarti, Indian Institute of Management Ahmedabad

Lukas Pichl, International Christian University

Taisei Kaizoji, International Christian University

From the Back Cover

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 complexsystems. 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.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 9811383219
• ISBN 13: 9789811383212
• Binding: Paperback
• Edition number: 1
• Number of pages: 464
• Editor: Chakrabarti Anindya S., Pichl Lukáš, Kaizoji Taisei