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.
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
