Genetic Algorithms and Genetic Programming in Computational Finance - Rilegato

International Conference Of The Society For Computational Economics On

Rilegato

ISBN 10: 0792376013 ISBN 13: 9780792376019

Casa editrice: Kluwer Academic Pub, 2002

Riassunto

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. <strong>Genetic Algorithms and Genetic Programming in Computational Finance</strong> is a pioneering volume devoted entirely to a systematic and comprehensive review of this subject. Chapters cover various areas of computational finance, including financial forecasting, trading strategies development, cash flow management, option pricing, portfolio management, volatility modeling, arbitraging, and agent-based simulations of artificial stock markets. Two tutorial chapters are also included to help readers quickly grasp the essence of these tools. Finally, a menu-driven software program, Simple GP, accompanies the volume, which will enable readers without a strong programming background to gain hands-on experience in dealing with much of the technical material introduced in this work.

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Contenuti

List of Figures. List of Tables. Preface. 1. An Overview; S.-H. Chen. Part I: Introduction. 2. Genetic Algorithms in Economics and Finance; A.E. Drake, R.E. Marks. 3. Genetic Programming: A Tutorial; S.-H. Chen, et al. Part II: Forecasting. 4. GP and the Predictive Power of Internet Message Traffic; J.D. Thomas, K. Sycara. 5. Genetic Programming of Polynomial Models for Financial Forecasting; N.Y. Nikolaev, H. Iba. 6. NXCS: Hybrid Approach to Stock Indexes Forecasting; G. Armano, et al. Part III: Trading. 7. EDDIE for Financial Forecasting; E.P.K. Tsang, J. Li. 8. Forecasting Market Indices Using Evolutionary Automatic Programming; O'Neil, et al. 9.Genetic Fuzzy Expert Trading System for NASDAQ Stock Market Timing; S.S. Lam, et al. Part IV: Miscellaneous Applications Domains. 10. Portfolio Selection and Management; J.G.L. Lazo, et al. 11. Intelligent Cash Flow: Planning and Optimization Using GA; M.A.C. Pacheco, et al. 12. The Self-Evolving Logic of Financial Claim Prices; T.H. Noe, J. Wang. 13. using GP to Predict Exchange Rate Volatility; C.J. Neely, P.A. Weller. 14. EDDIE for Stock Index Options and Futures Arbitrage; S. Markose, et al. Part V: Agent-Based Computational Finance. 15. A Model of Boundedly Rational Consumer Choice; T. Riechmann. 16. Price Discovery in Agent-Based Computational Modeling of the Artificial Stock Market; S.-H. Chen, C.-C. Liao. 17. Individual Rationality as a Partial Impediment to Market Efficiency; S.-H. Chen, et al. 18. A Numerical Study on the Evolution of Portfolio Rules; G. Caldarelli, et al. 19. Adaptive Portfolio Managers in Stock Markets; K.Y. Szeto. 20. Learning and Convergence to Pareto Optimality; C.R. Birchenhall, J.-S. Lin. Part VI: Retrospect and Prospect. 21. The New Evolutionary Computational Paradigm; S.M. Markose. Index.

Dettagli dell'edizione

• Editore: Kluwer Academic Pub
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 0792376013
• ISBN 13: 9780792376019
• Rilegatura: Copertina rigida
• Numero di pagine: 512
• Redattore: Chen Shu-Heng
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania