Genetic Algorithms and Genetic Programming in Computational Finance
Published on 5. November 2012
Book
Paperback/Softback
XXI, 489 pages
978-1-4613-5262-4 (ISBN)
Description
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.
More details
Edition
Softcover reprint of the original 1st ed. 2002
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XXI, 489 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 28 mm
Weight
774 gr
ISBN-13
978-1-4613-5262-4 (9781461352624)
DOI
10.1007/978-1-4615-0835-9
Schweitzer Classification
Other editions
Additional editions
E-Book
12/2012
Springer
€309.23
Available for download
Book
07/2002
Kluwer Academic Publishers
€320.99
Shipment within 15-20 days
Content
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.