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E-raamat: Oxford Handbook of Computational Economics and Finance

Edited by (Professor of Economics, National Chengchi University), Edited by (Postdoctoral Researcher, AI-Econ Research Center), Edited by (Professor of Business, University of Redlands)
  • Formaat: 784 pages
  • Sari: Oxford Handbooks
  • Ilmumisaeg: 12-Jan-2018
  • Kirjastus: Oxford University Press Inc
  • Keel: eng
  • ISBN-13: 9780190877507
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  • Formaat: 784 pages
  • Sari: Oxford Handbooks
  • Ilmumisaeg: 12-Jan-2018
  • Kirjastus: Oxford University Press Inc
  • Keel: eng
  • ISBN-13: 9780190877507

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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.
List of Contributors
ix
1 Computational Economics in the Era of Natural Computationalism: Fifty Years after The Theory of Self-Reproducing Automata
1(38)
Shu-Heng Chen Mak Kaboudan
Ye-Rong Du
2 Dynamic Stochastic General Equilibrium Models: A Computational Perspective
39(33)
Michkl Juillard
3 Tax-rate Rules for Reducing Government Debt: An Application of Computational Methods for Macroeconomic Stabilization
72(26)
G. C. Lim
Paul D. Mcnelis
4 Solving Rational Expectations Models
98(41)
Lean Barth Ealemy
Magali Marx
5 Computable General Equilibrium Models for Policy Evaluation and Economic Consequence Analysis
139(65)
Ian Sue Wing
Howard J. Balistreri
6 Multifractal Models in Finance: Their Origin, Properties, and Applications
204(45)
Thomas Lux
Mawuli Segnon
7 Particle Filters for Markov-Switching Stochastic Volatility Models
249(18)
Yun Bao
Carl Chiarella
Boda Kang
8 Economic and Financial Modeling with Genetic Programming: A Review
267(28)
Cliodhna Turns
Michael O'Neill
Anthony Brahazon
9 Algorithmic Trading Based on Biologically Inspired Algorithms
295(16)
Yassillos Vassiliadis
Georgios Dounias
10 Algorithmic Trading in Practice
311(22)
Peter Gomber
Kai Zimmermann
11 Computational Spatiotemporal Modeling of Southern California Home Prices
333(27)
Mak Kaboudan
12 Business Applications of Fuzzy Logic
360(37)
Petr Dostal
Chia-Yang Lin
13 Modeling of Desirable Socioeconomic Networks
397(23)
Akira Namatame
Takanori Komatsu
14 Computational Models of Financial Networks. Risk, and Regulatory Policies
420(21)
Kimmo Soramaki
15 From Minority Games to $-Games
441(27)
Jorgen Vitting Andersen
16 An Overview and Evaluation of the CAT Market Design Competition
468(22)
Tim Miller
Jinzhong Niu
Martin Chapman
Peter Mcburney
17 Agent-Based Macroeconomic Modeling and Policy Analysis: The Eurace@Unibi Model
490(30)
Herbert Dawtd
Simon Gemkow
Philipp Harting
Sander Van Der Hoog
Michael Neugart
18 Agent-Based Models for Economic Policy Design: two Illustrative Examples
520(39)
Frank Westerhoff
Reiner Franke
19 Computational Economic Modeling of Migration
559(35)
Anna Klabunde
20 Computational Industrial Economics; A Generative Approach to Dynamic Analysis in Industrial organization
594(41)
Myong-Hun Chang
21 Agent-Based Modeling for Financial Markets
635(32)
Giulia Iori
James Porter
22 Agent-Based Models of the Labor Market
667(21)
Michael Neugart
Matteo Richiardi
23 The Emerging Standard Neurobiological Model of Decision Making: Strengths, Weaknesses, and Future Directions
688(26)
Shih-Wei Wu
Paul W. Glimcher
24 The Epistemology of Simulation, Computation, and Dynamics in Economics
714(47)
K. Vela Velupillai
Index 761
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.