Algorithms for Solving Financial Portfolio Design Problems Emerging Research and Opportunities is popular PDF and ePub book, written by Lebbah, Fatima Zohra in 2019-12-27, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Algorithms for Solving Financial Portfolio Design Problems Emerging Research and Opportunities can be Read Online from any device for your convenience.
Algorithms for Solving Financial Portfolio Design Problems Emerging Research and Opportunities Book PDF Summary
In the current scope of economics, the management of client portfolios has become a considerable problem within financial institutions due to the amount of risk that goes into assigning assets. Various algorithmic models exist for solving these portfolio challenges; however, considerable research is lacking that further explains these design problems and provides applicable solutions to these imperative issues. Algorithms for Solving Financial Portfolio Design Problems: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of various programming models within the financial engineering field. While highlighting topics such as landscape analysis, breaking symmetries, and linear programming, this publication analyzes the quadratic constraints of current portfolios and provides algorithmic solutions to maximizing the full value of these financial sets. This book is ideally designed for financial strategists, engineers, programmers, mathematicians, banking professionals, researchers, academicians, and students seeking current research on recent mathematical advances within financial engineering.
Detail Book of Algorithms for Solving Financial Portfolio Design Problems Emerging Research and Opportunities PDF
- Author : Lebbah, Fatima Zohra
- Release : 27 December 2019
- Publisher : IGI Global
- ISBN : 9781799818830
- Genre : Business & Economics
- Total Page : 198 pages
- Language : English
- PDF File Size : 14,6 Mb
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