Comparison of multicriteria decision-making methods in portfolio formation

Martinkutė-Kaulienė, Raimonda; Skobaitė, Radvinė; Stasytytė, Viktorija; Maknickienė, Nijolė

doi:10.46503/qwpu4486

Cited by 1 publication

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References 29 publications

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“…For this purpose, the multicriteria decision making methodology will be used, which allows to reach compromise solutions between different conflicting objectives. This methodology has been widely applied in the field of financial investments (Masood, Tvaronavičienė, & Javaria, 2019) and the creation of investment portfolios (Basilio, de Freitas, Kämpffe, & Bordeaux Rego, 2018;García, González-Bueno, Guijarro, & Oliver, 2020a;Martinkutė-Kaulienė, Skobaitė, Stasytytė, & Maknickienė, 2021;Pahade & Jha, 2021). Generally, investment funds and socially responsible stock market indexes use positive or negative screening to select the companies in their portfolios.…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

What is the cost of maximizing ESG performance in the portfolio selection strategy? The case of The Dow Jones Index average stocks

Martínez¹,

Gankova-Ivanova²,

González-Bueno³

et al. 2022

JESI

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Portfolio selection is one of the main financial topics. The original portfolio selection problem dealt with the trade-off between return and risk, measured as the mean returns and the variance, respectively. For investors more variables other than return and risk are considered to select the stocks to be included in the portfolio. Nowadays, many investors include corporate social responsibility as one eligibility criterion. Additionally, other return and risk measures are being employed. All of this, together with further constraints such as portfolio cardinality, which mirror real-world demands by investors, have made the multicriteria portfolio selection problem to be NP-hard. To solve this problem, heuristics such as the non-dominated sorting genetic algorithm II have been developed. The aim of this paper is to analyse the trade-off between return, risk and corporate social responsibility. To this end, we construct pareto efficient portfolios using a fuzzy multicriteria portfolio selection model with real-world constraints. The model is applied on a set of 28 stocks which are constituents of the Dow Jones Industrial Average stock index. The analysis shows that portfolios scoring higher in corporate social responsibility obtain lower returns. As of the risk, the riskier portfolios are those with extreme (high or low) corporate social responsibility scores. Finally, applying the proposed portfolio selection methodology, it is possible to build investment portfolios that dominate the benchmark. That is, socially responsible portfolios, measured by ESG scores, must not necessarily be penalized in terms of return or risk.

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