当前位置: X-MOL 学术Eur. J. Oper. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A note on Steuer and Utz’s (2023) multi-objective optimization approach for generating sustainability-efficient fronts
European Journal of Operational Research ( IF 6.4 ) Pub Date : 2024-03-16 , DOI: 10.1016/j.ejor.2024.03.023
Marcel Marohn , Benjamin R. Auer

Motivated by the increasing importance of sustainability in investing, Steuer and Utz (2023) propose a new approach for integrating environmental, social and governance (ESG) scores into the portfolio selection process. These authors claim that their multi-objective portfolio optimization problem always provides mean-variance-ESG-efficient solutions because it belongs to the class of -constraint problems. Contending that this classification is problematic, we show that the developed approach cannot guarantee efficient portfolios.

中文翻译:

关于 Steuer 和 Utz (2023) 用于生成可持续高效前沿的多目标优化方法的说明

由于可持续发展在投资中日益重要,Steuer 和 Utz(2023)提出了一种将环境、社会和治理(ESG)评分纳入投资组合选择过程的新方法。这些作者声称,他们的多目标投资组合优化问题总是提供均值方差 ESG 有效的解决方案,因为它属于约束问题类。我们认为这种分类是有问题的,我们表明所开发的方法不能保证有效的投资组合。
更新日期:2024-03-16
down
wechat
bug