Description

Book Synopsis

1 An Overview.- I Introduction.- 2 Genetic Algorithms in Economics and Finance.- 3 Genetic Programming: A Tutorial.- II Forecasting.- 4 GP and the Predictive Power of Internet Message Traffic.- 5 Genetic Programming of Polynomial Models for Financial Forecasting.- 6 NXCS: Hybrid Approach to Stock Indexes Forecasting.- III Trading.- 7 EDDIE for Financial Forecasting.- 8 Forecasting Market Indices Using Evolutionary Automatic Programming.- 9 Genetic Fuzzy Expert Trading System for NASDAQ Stock Market Timing.- IV Miscellaneous Applications Domains.- 10 Portfolio Selection and Management.- 11 Intelligent Cash Flow: Planning and Optimization Using GA.- 12 The Self-Evolving Logic of Financial Claim Prices.- 13 Using GP to Predict Exchange Rate Volatility.- 14 EDDIE for Stock Index Options and Futures Arbitrage.- V Agent-Based Computational Finance.- 15 A Model of Boundedly Rational Consumer Choice.- 16 Price Discovery in Agent-Based Computational Modeling of the Artificial Stock Market.- 17

Table of Contents

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.

Genetic Algorithms and Genetic Programming in Computational Finance

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      Book details

      Publisher Springer Nature
      Published 31 July 2002
      ISBN-13 9780792376019
      978-0792376019
      ISBN-10 0792376013

      Description

      Book Synopsis

      1 An Overview.- I Introduction.- 2 Genetic Algorithms in Economics and Finance.- 3 Genetic Programming: A Tutorial.- II Forecasting.- 4 GP and the Predictive Power of Internet Message Traffic.- 5 Genetic Programming of Polynomial Models for Financial Forecasting.- 6 NXCS: Hybrid Approach to Stock Indexes Forecasting.- III Trading.- 7 EDDIE for Financial Forecasting.- 8 Forecasting Market Indices Using Evolutionary Automatic Programming.- 9 Genetic Fuzzy Expert Trading System for NASDAQ Stock Market Timing.- IV Miscellaneous Applications Domains.- 10 Portfolio Selection and Management.- 11 Intelligent Cash Flow: Planning and Optimization Using GA.- 12 The Self-Evolving Logic of Financial Claim Prices.- 13 Using GP to Predict Exchange Rate Volatility.- 14 EDDIE for Stock Index Options and Futures Arbitrage.- V Agent-Based Computational Finance.- 15 A Model of Boundedly Rational Consumer Choice.- 16 Price Discovery in Agent-Based Computational Modeling of the Artificial Stock Market.- 17

      Table of Contents

      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.

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