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Modern Portfolio Optimization with NuOPT , S-PLUS, and S+Bayes [Paperback]

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  • Category: Books (Business &Amp; Economics)
  • Author:  Scherer, Bernd, Martin, R. Douglas
  • Author:  Scherer, Bernd, Martin, R. Douglas
  • ISBN-10:  1441919341
  • ISBN-10:  1441919341
  • ISBN-13:  9781441919342
  • ISBN-13:  9781441919342
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2010
  • Pub Date:  01-Mar-2010
  • SKU:  1441919341-11-SPRI
  • SKU:  1441919341-11-SPRI
  • Item ID: 100835266
  • List Price: $109.99
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 28 to Oct 30
  • Notes: Brand New Book. Order Now.

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. This trend will only accelerate in the coming years. This practical handbook fills the gap between current university instruction and current industry practice. It provides a comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods using the powerful NUOPT for S-PLUS optimizer.

This practical handbook provides a comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods. It fills the gap between current university instruction and current industry practice.

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 Sl*

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