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Open AccessArticle

Selecting Socially Responsible Portfolios: A Fuzzy Multicriteria Approach

Faculty of Business Administration and Management, Universitat Politècnica de València, 46022 València, Spain
Faculty of Business Administration, Universidad Pontificia Bolivariana, 681017 Bucaramanga, Colombia
Markstones Institute of Marketing, Branding and Technology, Universität Bremen, 28359 Bremen, Germany
Author to whom correspondence should be addressed.
Sustainability 2019, 11(9), 2496;
Received: 9 April 2019 / Revised: 24 April 2019 / Accepted: 26 April 2019 / Published: 28 April 2019
(This article belongs to the Special Issue Sustainable Financial Markets)
We propose a multi-objective approach for portfolio selection, which allows investors to consider not only return and downside risk criteria but also to include environmental, social and governance (ESG) scores in the investment decision-making process. Owing to the uncertain environment of portfolio selection, the return and ESG score of each asset are considered as independent L-R power fuzzy variables. To make the model more realistic, we take budget, floor ceiling and cardinality constraints into account. In order to select the optimal portfolio along the efficient frontier, we apply the Sortino ratio in a credibilistic environment. The subsequent empirical application uses a data set from Bloomberg’s ESG Data in combination with US Dow Jones Industrial Average data. The experimental results show that the proposed model offers promising results for socially responsible investors seeking ethical and sustainability goals beyond the return-risk trade-off and its ability to beat the benchmark. View Full-Text
Keywords: sustainable investment; portfolio selection; ESG rating score; downside risk; L-R fuzzy numbers sustainable investment; portfolio selection; ESG rating score; downside risk; L-R fuzzy numbers
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García, F.; González-Bueno, J.; Oliver, J.; Riley, N. Selecting Socially Responsible Portfolios: A Fuzzy Multicriteria Approach. Sustainability 2019, 11, 2496.

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