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Titlebook: Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™; Bernd Scherer,R. Douglas Martin Book 2005 Springer-Verlag New York 2005

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发表于 2025-3-21 19:50:14 | 显示全部楼层 |阅读模式
书目名称Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™
编辑Bernd Scherer,R. Douglas Martin
视频video
概述A comprehensive treatment of modern portfolio optimization using the powerful NUOPT for S-PLUS optimizer.Includes supplementary material:
图书封面Titlebook: Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™;  Bernd Scherer,R. Douglas Martin Book 2005 Springer-Verlag New York 2005
描述.In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management, and this trend will only accelerate in the coming years. Unfortunately there is a large gap between the limited treatment of portfolio construction methods that are presented in most university courses with relatively little hands-on experience and limited computing tools, and the rich and varied aspects of portfolio construction that are used in practice in the finance industry. Current practice demands the use of modern methods of portfolio construction that go well beyond the classical Markowitz mean-variance optimality theory and require the use of powerful scalable numerical optimization methods. This book fills the gap between current university instruction and current industry practice by providing a comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods. The computational aspect of the book is based on extensive use of S-Plus®, the S+NuOPT™ optimization module, the S-Plus Ro
出版日期Book 2005
关键词Investment; Investmentmanagement; Portfolio; Portfolio Optimization; Portfolio Theory; Resampling; STATIST
版次1
doihttps://doi.org/10.1007/978-0-387-27586-4
isbn_softcover978-1-4419-1934-2
isbn_ebook978-0-387-27586-4
copyrightSpringer-Verlag New York 2005
The information of publication is updating

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发表于 2025-3-21 20:31:01 | 显示全部楼层
发表于 2025-3-22 03:47:25 | 显示全部楼层
Bayes Methods,information is likely to add value in the investment decision process. The kinds of information the investor may be able to use in constructing a prior include outputs of returns forecasting models, cross-section information, fundamentals research, and views or bets made based on one or more of these kinds of information.
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发表于 2025-3-22 12:37:05 | 显示全部楼层
n recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management, and this trend will only accelerate in the coming
发表于 2025-3-22 14:08:55 | 显示全部楼层
发表于 2025-3-22 19:57:35 | 显示全部楼层
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发表于 2025-3-23 04:39:41 | 显示全部楼层
Book 2005t university instruction and current industry practice by providing a comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods. The computational aspect of the book is based on extensive use of S-Plus®, the S+NuOPT™ optimization module, the S-Plus Ro
发表于 2025-3-23 07:36:23 | 显示全部楼层
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