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A credibilistic mean-semivariance-PER portfolio selection model for Latin America

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Veröffentlicht in: Journal of business economics and management 20(2019), 2, Seite 225-243
Personen und Körperschaften: García, Fernando (VerfasserIn), González-Bueno, Jairo (VerfasserIn), Oliver, Javier (VerfasserIn), Tamošiūnienė, Rima (VerfasserIn)
Titel: A credibilistic mean-semivariance-PER portfolio selection model for Latin America/ Fernando García, Jairo González-Bueno, Javier Oliver, Rima Tamošiūnienė
Format: E-Book-Kapitel
Sprache: Englisch
veröffentlicht:
2019
Gesamtaufnahme: : Journal of business economics and management, 20(2019), 2, Seite 225-243
, volume:20
Schlagwörter:
Quelle: Verbunddaten SWB
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Zusammenfassung: Many real-world problems in the financial sector have to consider different objectives which are conflicting, for example portfolio selection. Markowitz proposed an approach to determine the optimal composition of a portfolio analysing the trade-off between return and risk. Nevertheless, this approach has been criticized for unrealistic assumptions and several changes have been proposed to incorporate investors' constraints and more realistic risk measures. In this line of research, our proposal extends the mean-semivariance portfolio selection model to a multiobjective credibilistic model that besides risk and return, also considers the price-to-earnings ratio to measure portfolio performance. Uncertain future returns and PER ratio of each asset are approximated using L-R power fuzzy numbers. Furthermore, we consider budget, bound and cardinality constraints. To solve the constrained portfolio optimization problem, we use the algorithm NSGA-II. We assess the proposed approach generating a portfolio with shares included in the Latin American Integrated Market. Results show that this new approach is a good alternative to solve the portfolio selection problem when multiple objectives are considered.
ISSN: 2029-4433
DOI: 10.3846/jbem.2019.8317
Zugang: Open Access