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Springer Fuzzy Portfolio Optimization Monograph - Vol 316

Amazon

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Description

Fuzzy Portfolio Optimization: Advances in Hybrid Multi-criteria Methodologies provides a deep study of quantitative finance through the lens of fuzzy logic. This Springer monograph addresses the challenges of financial markets where information is often incomplete, vague, or ambiguous. Readers begin with a foundation in basic concepts, including classical mean-variance portfolio analysis. The text then moves into advanced optimization techniques, applying them to develop various multi-criteria portfolio optimization models. This volume is part of the Studies in Fuzziness and Soft Computing series, making it a specialized resource for those studying how to handle uncertainty in modern financial markets.

Key Features

This Springer monograph explores advanced fuzzy portfolio optimization models for quantitative finance.

The text covers classical mean-variance portfolio analysis to build a strong conceptual foundation.

It introduces advanced optimization techniques designed to handle market vagueness and ambiguity.

Part of the Studies in Fuzziness and Soft Computing series, volume 316.

The content focuses on multi-criteria portfolio optimization models for uncertain environments.

Product Specifications

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

Barcode

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