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portada Genetic Algorithms and Genetic Programming in Computational Finance
Type
Physical Book
Publisher
Author
Language
English
Pages
489
Format
Paperback
Dimensions
23.4x15.6x2.6 cm
Weight
0.72 kg.
ISBN13
9781461352624
Categories

Genetic Algorithms and Genetic Programming in Computational Finance

Shu-Heng Chen (Author) · Springer · Paperback

Genetic Algorithms and Genetic Programming in Computational Finance - Shu-Heng Chen

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Synopsis "Genetic Algorithms and Genetic Programming in Computational Finance"

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.

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