In this study, we investigate whether sector-weighted portfolios based on alternative parametric assumptions are consistent with multivariate stochastic dominance (MSD) conditions for a class of non-satiable risk-averse investors. Focusing specifically on stable symmetric and Student’s t distributions, we propose and motivate an MSD rule to determine a partial order among sectors, based on a comparison between (i) location, (ii) dispersion parameters and (iii) either stability indices (for stable symmetric distributions) or degrees of freedom (for Student’s t distributions). The proposed MSD rule is applied to the US equity market to evaluate whether and how the derived stochastic dominance conditions are relevant to investors’ decisions. The empirical study confirms that the proposed MSD rule is effective and that the tail behaviour of returns is relevant to the optimization of portfolios for non-satiable investors.

(2021). Multivariate stochastic dominance applied to sector-based portfolio selection [journal article - articolo]. In IMA JOURNAL OF MANAGEMENT MATHEMATICS. Retrieved from http://hdl.handle.net/10446/159320

Multivariate stochastic dominance applied to sector-based portfolio selection

Ortobelli Lozza, Sergio;Kouaissah, Noureddine
2021-01-01

Abstract

In this study, we investigate whether sector-weighted portfolios based on alternative parametric assumptions are consistent with multivariate stochastic dominance (MSD) conditions for a class of non-satiable risk-averse investors. Focusing specifically on stable symmetric and Student’s t distributions, we propose and motivate an MSD rule to determine a partial order among sectors, based on a comparison between (i) location, (ii) dispersion parameters and (iii) either stability indices (for stable symmetric distributions) or degrees of freedom (for Student’s t distributions). The proposed MSD rule is applied to the US equity market to evaluate whether and how the derived stochastic dominance conditions are relevant to investors’ decisions. The empirical study confirms that the proposed MSD rule is effective and that the tail behaviour of returns is relevant to the optimization of portfolios for non-satiable investors.
articolo
2021
ORTOBELLI LOZZA, Sergio; Kouaissah, Noureddine
(2021). Multivariate stochastic dominance applied to sector-based portfolio selection [journal article - articolo]. In IMA JOURNAL OF MANAGEMENT MATHEMATICS. Retrieved from http://hdl.handle.net/10446/159320
File allegato/i alla scheda:
File Dimensione del file Formato  
dpaa004.pdf

Solo gestori di archivio

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 510.59 kB
Formato Adobe PDF
510.59 kB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/159320
Citazioni
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 5
social impact