Authors:
- Provides a multidisciplinary treatment of prediction markets, including diverse perspectives from mathematical economics, agent-based modeling and simulation, econometrics, and other fields
- Strengthens the empirical treatment in the book with the utilization of xFuture, a real prediction market
- Gives a full demonstration of a rising new research field: computational, cognitive, and behavioral social science
Part of the book series: Evolutionary Economics and Social Complexity Science (EESCS, volume 45)
About this book
Keywords
- Agent-Based Modeling
- Artificial Agents
- Artificial Markets
- Experimental Economics
- Market Experiments
- Prediction Markets
Authors and Affiliations
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Department of Economics AI-ECON Research Center, National Chengchi University, Taipei, Taiwan
Shu-Heng Chen
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Graduate Inst. of Development Studies, National Chengchi University, Taipei, Taiwan
Chen-Yuan Tung
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Department of Finance, The Chinese University of Hong Kong, Hong Kong, China
Jason Yeh
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Department of Industrial Economics, Tamkang University, New Taipei City, Taiwan
Bin-Tzong Chie
-
Department of Economics, Tunghai University, Taichung, Taiwan
Chung-Ching Tai
-
Department of International Business, National Taiwan University, Taipei, Taiwan
Hung-Wen Lin
Bibliographic Information
Book Title: Foundations of Prediction Markets
Book Subtitle: Modeling, Simulation, and Empirical Evidence
Authors: Shu-Heng Chen, Chen-Yuan Tung, Jason Yeh, Bin-Tzong Chie, Chung-Ching Tai, Hung-Wen Lin
Series Title: Evolutionary Economics and Social Complexity Science
Publisher: Springer Tokyo
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Japan KK, part of Springer Nature 2024
Hardcover ISBN: 978-4-431-55229-1Due: 12 August 2024
eBook ISBN: 978-4-431-55230-7Due: 12 August 2024
Series ISSN: 2198-4204
Series E-ISSN: 2198-4212
Edition Number: 1
Number of Illustrations: 30 b/w illustrations, 20 illustrations in colour