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Fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies

This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio opt...

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Detalles Bibliográficos
Autores principales: Gupta, Pankaj, Mehlawat, Mukesh Kumar, Inuiguchi, Masahiro, Chandra, Suresh
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-54652-5
http://cds.cern.ch/record/1693415
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author Gupta, Pankaj
Mehlawat, Mukesh Kumar
Inuiguchi, Masahiro
Chandra, Suresh
author_facet Gupta, Pankaj
Mehlawat, Mukesh Kumar
Inuiguchi, Masahiro
Chandra, Suresh
author_sort Gupta, Pankaj
collection CERN
description This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.  
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spelling cern-16934152021-04-21T21:04:45Zdoi:10.1007/978-3-642-54652-5http://cds.cern.ch/record/1693415engGupta, PankajMehlawat, Mukesh KumarInuiguchi, MasahiroChandra, SureshFuzzy portfolio optimization: advances in hybrid multi-criteria methodologiesEngineeringThis monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.  Springeroai:cds.cern.ch:16934152014
spellingShingle Engineering
Gupta, Pankaj
Mehlawat, Mukesh Kumar
Inuiguchi, Masahiro
Chandra, Suresh
Fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies
title Fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies
title_full Fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies
title_fullStr Fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies
title_full_unstemmed Fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies
title_short Fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies
title_sort fuzzy portfolio optimization: advances in hybrid multi-criteria methodologies
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-54652-5
http://cds.cern.ch/record/1693415
work_keys_str_mv AT guptapankaj fuzzyportfoliooptimizationadvancesinhybridmulticriteriamethodologies
AT mehlawatmukeshkumar fuzzyportfoliooptimizationadvancesinhybridmulticriteriamethodologies
AT inuiguchimasahiro fuzzyportfoliooptimizationadvancesinhybridmulticriteriamethodologies
AT chandrasuresh fuzzyportfoliooptimizationadvancesinhybridmulticriteriamethodologies