The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions

The possibilistic mean–variance (MV) model is the counterpart of Markowitz’s MV model in the possibility theory. This study aims to examine the possibilistic MV model when the possibility distributions of stock returns are uncertain triangular fuzzy numbers. We define an uncertainty vector and use i...

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Main Author: Furkan Göktaş
Format: Article
Language:English
Published: Mehmet Akif Ersoy University 2024-06-01
Series:Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
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Online Access:https://dergipark.org.tr/en/download/article-file/3530767
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author Furkan Göktaş
author_facet Furkan Göktaş
author_sort Furkan Göktaş
collection DOAJ
description The possibilistic mean–variance (MV) model is the counterpart of Markowitz’s MV model in the possibility theory. This study aims to examine the possibilistic MV model when the possibility distributions of stock returns are uncertain triangular fuzzy numbers. We define an uncertainty vector and use its ellipsoidal uncertainty set in a minimax optimization problem to model this uncertainty. We also show that this minimax optimization problem reduces to a strictly convex minimization problem. Thus, unlike the possibilistic MV model, we get diversified optimal portfolios uniquely with our approach. After laying down the theoretical points of our approach, we illustrate it with a real-world example in the literature by using a software package for convex optimization. To the best of our knowledge, this is the first paper that considers uncertain possibility distributions in the possibilistic MV model.
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publisher Mehmet Akif Ersoy University
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series Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
spelling doaj-art-96aefb6f9eb84398af401ed897aefe1b2025-01-27T13:10:30ZengMehmet Akif Ersoy UniversityMehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2149-16582024-06-0111253555010.30798/makuiibf.1389261273The Possibilistic Mean-Variance Model with Uncertain Possibility DistributionsFurkan Göktaş0https://orcid.org/0000-0001-9291-3912Karabük ÜniversitesiThe possibilistic mean–variance (MV) model is the counterpart of Markowitz’s MV model in the possibility theory. This study aims to examine the possibilistic MV model when the possibility distributions of stock returns are uncertain triangular fuzzy numbers. We define an uncertainty vector and use its ellipsoidal uncertainty set in a minimax optimization problem to model this uncertainty. We also show that this minimax optimization problem reduces to a strictly convex minimization problem. Thus, unlike the possibilistic MV model, we get diversified optimal portfolios uniquely with our approach. After laying down the theoretical points of our approach, we illustrate it with a real-world example in the literature by using a software package for convex optimization. To the best of our knowledge, this is the first paper that considers uncertain possibility distributions in the possibilistic MV model.https://dergipark.org.tr/en/download/article-file/3530767convex optimizationfuzzy setnormal distributionportfolio selectionpossibility theorytriangular fuzzy number
spellingShingle Furkan Göktaş
The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
convex optimization
fuzzy set
normal distribution
portfolio selection
possibility theory
triangular fuzzy number
title The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions
title_full The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions
title_fullStr The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions
title_full_unstemmed The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions
title_short The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions
title_sort possibilistic mean variance model with uncertain possibility distributions
topic convex optimization
fuzzy set
normal distribution
portfolio selection
possibility theory
triangular fuzzy number
url https://dergipark.org.tr/en/download/article-file/3530767
work_keys_str_mv AT furkangoktas thepossibilisticmeanvariancemodelwithuncertainpossibilitydistributions
AT furkangoktas possibilisticmeanvariancemodelwithuncertainpossibilitydistributions