£115.90

Springer Fuzzy Portfolio Optimization - Hybrid Methodologies

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£121.88 £115.27 £116.71 £118.15 £119.60 £121.04 £122.48 09 June 2026 18 June 2026 27 June 2026 06 July 2026 16 July 2026

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Price range: £116 - £122

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Description

Fuzzy Portfolio Optimization: Advances in Hybrid Multi-criteria Methodologies offers a deep look into quantitative finance. In modern financial markets, information is often incomplete, and decision-makers must navigate constant vagueness and ambiguity. This monograph addresses these challenges by focusing on fuzzy portfolio optimization models designed for real-world uncertainty. The text begins by establishing a foundation with basic concepts, including classical mean-variance portfolio analysis. From there, it moves into advanced optimization techniques. Readers will learn how these methods are applied to develop various multi-criteria portfolio optimization models. This book is a valuable resource for those studying how to manage financial risk and optimize returns when market data is not perfectly clear.

Key Features

Covers essential concepts of classical mean-variance portfolio analysis for a strong foundational understanding.

Addresses market uncertainty by focusing on fuzzy portfolio optimization models to handle incomplete information.

Explores advanced optimization techniques used to manage vagueness and ambiguity in financial markets.

Provides methodologies for developing multi-criteria portfolio optimization models for complex financial scenarios.

Part of the Studies in Fuzziness and Soft Computing series (Volume 316) from Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 September 2016
Listed Since
25 August 2016

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