Markowitz Mean-Variance Portfolio Selection and Optimization under a Behavioral Spectacle: New Empirical Evidence

Jules Clément Mba, Kofi Agyarko Ababio, Samuel Kwaku Agyei

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This paper investigates the robustness of the conventional mean-variance (MV) optimization model by making two adjustments within the MV formulation. First, the portfolio selection based on a behavioral decision-making theory that encapsulates the MV statistics and investors psychology. The second aspect involves capturing the portfolio asset dependence structure through copula. Using the behavioral MV (BMV) and the copula behavioral MV (CBMV), the results show that stocks with lower behavioral scores outperform counterpart portfolios with higher behavioral scores. On the other hand, in the Forex market, the reverse is observed for the BMV approach, while the CBMV remains consistent.

Original languageEnglish
Article number28
JournalInternational Journal of Financial Studies
Volume10
Issue number2
DOIs
Publication statusPublished - Jun 2022
Externally publishedYes

Keywords

  • cumulative prospect theory
  • dependence structure
  • differential evolution
  • mean-variance
  • portfolio optimization

ASJC Scopus subject areas

  • Finance

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