Genetic Algorithms and Genetic Programming in Computational Finance (Paperback, Softcover reprint of the original 1st ed. 2002)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	March 2013
First published:	2002
Editors:	Shu-Heng Chen
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Paperback
Pages:	489
Edition:	Softcover reprint of the original 1st ed. 2002
ISBN-13:	978-1-4613-5262-4
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Business & Economics > Finance & accounting > Finance > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Money & Finance > General
LSN:	1-4613-5262-2
Barcode:	9781461352624

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