Genetic Algorithms and Genetic Programming in Computational Finance, Paperbac...

Description: Genetic Algorithms and Genetic Programming in Computational Finance, Paperback by Shu-heng Chen (EDT), ISBN 1461352622, ISBN-13 9781461352624, 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

Item Height: 0.4 in

Publication Year: 2012

Subject: Programming / Algorithms, Finance / General, Operations Research, General, Econometrics, Investments & Securities / Stocks

Item Weight: 27.6 Oz

Type: Textbook

Subject Area: Computers, Business & Economics

Author: Shu-Heng Chen

Item Length: 9.3 in

Item Width: 6.1 in

Format: Trade Paperback