A comprehensive portfolio optimization guide, with provided MATLAB code
Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts.
Portfolio construction models originating from the standard Markowitz mean-variance model have a high input sensitivity that threatens optimization, spawning a flurry of research into new analytic techniques. This book covers the latest developments along with the basics, to give you a truly comprehensive understanding backed by a robust, practical skill set.
The Markowitz mean-variance model remains the standard framework for portfolio optimization, but the interest in―and need for―an alternative is rapidly increasing. Resolving the sensitivity issue and dramatically reducing portfolio risk is a major focus of today's portfolio manager. Robust Equity Portfolio Management + Website provides a viable alternative framework, and the hard skills to implement any optimization method.
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WOO CHANG KIM is associate professor in the Industrial and Systems Engineering Department at the Korea Advanced Institute of Science and Technology (KAIST). He serves on the editorial boards for several journals, including Journal of Portfolio Management, Optimization and Engineering, and Quantitative Finance Letters.
JANG HO KIM is assistant professor of Industrial and Management Systems Engineering at Kyung Hee University.
FRANK J. FABOZZI is editor of the Journal of Portfolio Management, professor of finance at EDHEC Business School, and a senior scientific adviser at the EDHEC-Risk Institute.
Since Harry Markowitz published his mean-variance model in 1952, numerous extensions have followed attempting to overcome its limitations. Robust Equity Portfolio Management provides singular coverage on one of these extensions―the construction of robust portfolios for equity portfolio management within the mean-variance framework.
Whether you have no background in portfolio management and optimization or want to add quantitative robust equity portfolio management to your skill set, this versatile guide offers step-by-step instruction on the theory and mechanics you need to use robust models for optimal portfolio construction. After an insightful primer on portfolio theory and optimization supported by programming examples, coverage advances to robust formulations, implementation of robust portfolio optimization, attributes of robust portfolios, and robust portfolio performance. Financial professionals and newcomers alike will benefit from:
Set yourself apart with the specialized training to explore advanced methods for improving portfolio robustness with Robust Equity Portfolio Management.
Since Harry Markowitz published his mean-variance model in 1952, numerous extensions have followed attempting to overcome its limitations. Robust Equity Portfolio Management provides singular coverage on one of these extensions—the construction of robust portfolios for equity portfolio management within the mean-variance framework.
Whether you have no background in portfolio management and optimization or want to add quantitative robust equity portfolio management to your skill set, this versatile guide offers step-by-step instruction on the theory and mechanics you need to use robust models for optimal portfolio construction. After an insightful primer on portfolio theory and optimization supported by programming examples, coverage advances to robust formulations, implementation of robust portfolio optimization, attributes of robust portfolios, and robust portfolio performance. Financial professionals and newcomers alike will benefit from:
Set yourself apart with the specialized training to explore advanced methods for improving portfolio robustness with Robust Equity Portfolio Management.
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Zustand: New. A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Series: Frank J. Fabozzi Series. Num Pages: 256 pages. BIC Classification: KFFM2. Category: (P) Professional & Vocational. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781118797266
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Gebunden. Zustand: New. A comprehensive portfolio optimization guide, with provided MATLAB codeRobust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techni. Artikel-Nr. 556569496
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