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Titlebook: Genetic Algorithms and Genetic Programming in Computational Finance; Shu-Heng Chen Book 2002 Springer Science+Business Media New York 2002

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发表于 2025-3-21 16:39:42 | 显示全部楼层 |阅读模式
书目名称Genetic Algorithms and Genetic Programming in Computational Finance
编辑Shu-Heng Chen
视频videohttp://file.papertrans.cn/383/382438/382438.mp4
图书封面Titlebook: Genetic Algorithms and Genetic Programming in Computational Finance; Shu-Heng Chen Book 2002 Springer Science+Business Media New York 2002
描述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.
出版日期Book 2002
关键词Arbitrage; Finance; Sage; Simulation; agents; algorithms; automatic programming; cash flow; genetic programm
版次1
doihttps://doi.org/10.1007/978-1-4615-0835-9
isbn_softcover978-1-4613-5262-4
isbn_ebook978-1-4615-0835-9
copyrightSpringer Science+Business Media New York 2002
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发表于 2025-3-21 20:45:23 | 显示全部楼层
Grundlagen des CVM in Franchisesystemen,rsimonious, and predictive models. STROGANOFF is related to a traditional GP system which manipulates functional expressions. Both GP systems are examined on a Nikkei225 series from the Tokyo Stock Exchange. Using statistical and economical measures we show that STROGANOFF outperforms traditional GP, and it can evolve profitable polynomials.
男学院
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发表于 2025-3-22 04:17:35 | 显示全部楼层
GP and the Predictive Power of Internet Message Traffic produces cleraly superior results. We experiment with alternative representations for the GP trading rule learner. Finally, we find a potential regime shift in the market reaction to the message volume data, and speculate about future trends.
FLORA
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thrombosis
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发表于 2025-3-22 10:42:51 | 显示全部楼层
Hans H. Bauer,Frank Huber,Thomas Kellered software can help beginners to tackle those issues on their own. Once they have a general grasp of how to implement GP effectively, many advanced materials prepared in this volume are there for further exploration.
拥护
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发表于 2025-3-22 13:45:59 | 显示全部楼层
Genetic Programming: A Tutorial With The Software Simple GPed software can help beginners to tackle those issues on their own. Once they have a general grasp of how to implement GP effectively, many advanced materials prepared in this volume are there for further exploration.
Gratulate
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Gratulate
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发表于 2025-3-22 23:56:50 | 显示全部楼层
Customer Relationship Managementlatility forecasting, and arbitrage. The direction then turns to agent-based computational finance, a bottom-up approach to the study of financial markets. The review also sheds light on a few technical aspects of GAs and GP, which may play a vital role in financial applications.
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diabetes
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