Genetic Algorithms and Genetic Programming in Computational Finance

Genetic Algorithms and Genetic Programming in Computational Finance

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2012 · 영어 · 페이퍼백 · 판본 2개
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설명

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.

책 세부 정보

형식 페이퍼백
페이지 510 페이지
언어 영어
출판됨 11월 5, 2012
출판사 Springer
ISBN-10 1461352622
ISBN-13 9781461352624
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