Fuzzy Portfolio Optimization : Advances in Hybrid Multi-criteria Methodologies

Gupta, Pankaj; Mehlawat, Mukesh Kumar; Inuiguchi, Masahiro; Chandra, Suresh

ISBN 10: 3662508567 ISBN 13: 9783662508565

Editore: Springer, 2016

Lingua: Inglese

Condizione: Usato - Come nuovo Brossura

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Titolo

Fuzzy Portfolio Optimization : Advances in Hybrid Multi-criteria Methodologies

Editore

Springer

Data di pubblicazione

2016

Lingua

Inglese

ISBN 10

3662508567

ISBN 13

9783662508565

Rilegatura

Brossura

Condizione

As New

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Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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 meanvariance 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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