Description: Genetic Algorithms and Genetic Programming in Computational Finance, Hardcover by Chen, Shu-Heng (EDT); International Conference of the Society for Computational Economics on (COR), ISBN 0792376013, ISBN-13 9780792376019, Like New Used, Free shipping in the US 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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Book Title: Genetic Algorithms and Genetic Programming in Computational Finan
Number of Pages: Xxi, 489 Pages
Language: English
Publication Name: Genetic Algorithms and Genetic Programming in Computational Finance
Publisher: Springer
Subject: Programming / Algorithms, Finance / General, Life Sciences / Genetics & Genomics, Operations Research, General, Econometrics, Investments & Securities / Stocks
Publication Year: 2002
Item Weight: 31.6 Oz
Type: Textbook
Author: Shu-Heng Chen
Item Length: 9.3 in
Subject Area: Computers, Science, Business & Economics
Item Width: 6.1 in
Format: Hardcover
