Authors:
- Presents a strong case for a multicriteria approach to portfolio construction and selection
- Develops an integrated and innovative methodological approach within the framework of multiple criteria decision making
- Includes suggestions for an innovative methodological approach to traditional portfolio creation ?
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 69)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“Multicriteria Portfolio Management is easy to read and a handy reference. It should be useful both to readers who are just curious and to those who plan to enter the field of portfolio management. … this book does a better job of covering the expanse of multicriteria portfolio management than any book published to date.” (Ralph E. Steuer, Interfaces, Vol. 44 (2), March-April, 2014)
Authors and Affiliations
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, School of Elec. & Computer Engineering, National Technical University of Athens, Athens, Greece
Panos Xidonas
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, School of Chemical Engineering, National Technical University of Athens, Athens, Greece
George Mavrotas
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Attica Wealth Management, Athens, Greece
Theodore Krintas
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, School of Electrical & Computer Engineer, National Technical University of Athens, Athens, Greece
John Psarras
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, Department of Production Engineering and, Technical University of Crete, Chania, Greece
Constantin Zopounidis
Bibliographic Information
Book Title: Multicriteria Portfolio Management
Authors: Panos Xidonas, George Mavrotas, Theodore Krintas, John Psarras, Constantin Zopounidis
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4614-3670-6
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2012
Hardcover ISBN: 978-1-4614-3669-0
Softcover ISBN: 978-1-4899-9300-7
eBook ISBN: 978-1-4614-3670-6
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: X, 130
Topics: Quantitative Finance, Optimization, Game Theory, Economics, Social and Behav. Sciences