After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. Genetic Algorithms and Genetic Programming in Computational Finance 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…mehr
After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. Genetic Algorithms and Genetic Programming in Computational Finance 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.
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 Individual Rationality as a Partial Impediment to Market Efficiency.- 18 A Numerical Study on the Evolution of Portfolio Rules.- 19 Adaptive Portfolio Managers in Stock Markets.- 20 Learning and Convergence to Pareto Optimality.- VI Retrospect and Prospect.- 21 The New Evolutionary Computational Paradigm.
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 Individual Rationality as a Partial Impediment to Market Efficiency.- 18 A Numerical Study on the Evolution of Portfolio Rules.- 19 Adaptive Portfolio Managers in Stock Markets.- 20 Learning and Convergence to Pareto Optimality.- VI Retrospect and Prospect.- 21 The New Evolutionary Computational Paradigm.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826