The Oxford Handbook of Computational Economics and Finance -

The Oxford Handbook of Computational Economics and Finance

Buch | Hardcover
786 Seiten
2018
Oxford University Press Inc (Verlag)
978-0-19-984437-1 (ISBN)
168,35 inkl. MwSt
This is an insightful survey of approaches to computational analysis of economics and finance.
The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

Shu-Heng Chen is a Distinguished Professor in the Department of Economics, Vice-President, Director of the AI-ECON Research Center, and the organizer of Experimental Economics Laboratory at National Chengchi University. Mak Kaboudan is a former Professor of Economics and Statistics at the University of Redlands' School of Business. Ye-Rong Du is a Postdoctoral research fellow at AI-ECON Research Center, National Chengchi University.

1. Computational Economics in the Era of Natural Computationalism: 50 Years after "The Theory of Self-Reproducing Automata"
Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du

2. Dynamic Stochastic General EquilibriumModels: A Computational Perspective
Michel Juillard

3.Tax-rate Rules for Reducing Government Debt: An Application of Computational Methods for Macroeconomic Stabilization
G. C. Lim and Paul D. McNelis

4.Solving Rational Expectations Models
Jean Barthélemy and Magali Marx

5.Computable General EquilibriumModels for Policy Evaluation and Economic Consequence Analysis
Ian Sue Wing and Edward J. Balistreri

6. Multifractal Models in Finance: Their Origin, Properties, and Applications
Thomas Lux and Mawuli Segnon

7. Particle Filters for Markov Switching Stochastic Volatility Models
Yun Bao, Carl Chiarella, and Boda Kang

8. Economic and Financial Modeling with Genetic Programming - A Review
Clíodhna Tuite, Michael O'Neill, and Anthony Brabazon

9. Algorithmic Trading Based on Biologically-inspired Algorithms
Vassilios Vassiliadis and Georgios Dounias

10. Algorithmic Trading in Practice
Peter Gomber and Kai Zimmermann

11. Computational Spatiotemporal Modeling of Southern California Home Prices
Mak Kaboudan

12. Business Applications of Fuzzy Logic
Petr Dostál and Chia-Yang Lin

13. Modeling of Desirable Socio-economic Networks
Akira Namatame and Takanori Komatsu

14. ComputationalModels of Financial Networks, Risk and Regulatory Policies
Kimmo Soramäki

15. From Minority Games to$-Games
Jorgen Vitting Andersen

16. An Overview and Evaluation of The CAT Market Design Competition
Tim Miller, Jinzhong Niu, Martin Chapman, and Peter McBurney

17. Agent-Based Macroeconomic Modeling and Policy Analysis: The Eurace@Unibi Model
Herbert Dawid, Simon Gemkow, Philipp Harting, Sander van der Hoog, and Michael Neugart

18. Agent-Based Models for Economic Policy Design: Two Illustrative Examples
Frank Westerhoff and Reiner Franke

19. Computational Economic Modeling of Migration
Anna Klabunde

20. Computational Industrial Economics - A Generative Approach to Dynamic Analysis in Industrial Organization
Myong-Hun Chang

21. Agent-Based Modeling for Financial Markets
Giulia Iori and James Porter

22. Agent-Based Models of the Labor Market
Michael Neugart and Matteo Richiardi

23. The Emerging Standard Neurobiological Model of Decision Making: Strengths, Weaknesses, and Future Directions
Shih-Wei Wu and Paul W. Glimcher

24. The Epistemology of Simulation, Computation and Dynamics in Economics
K. Vela Velupillai

Index

Erscheinungsdatum
Reihe/Serie Oxford Handbooks
Verlagsort New York
Sprache englisch
Maße 249 x 183 mm
Gewicht 1556 g
Themenwelt Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 0-19-984437-2 / 0199844372
ISBN-13 978-0-19-984437-1 / 9780199844371
Zustand Neuware
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