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The Oxford Handbook of Computational Economics and Finance

The Oxford Handbook of Computational Economics and Finance


Oxford University Press (Estados Unidos)

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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

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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

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Ciencias Económicas / Economía

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