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Approaches to ESG – integration in portfolio optimization using MOEAs. (English) Zbl 07927192

Cappanera, Paola (ed.) et al., Optimization and decision science: operations research, inclusion and equity. ODS, Florence, Italy, August 30 – september 2, 2022. Cham: Springer. AIRO Springer Ser. 9, 109-119 (2023).
Summary: Against a backdrop of growing collective awareness of sustainability, the financial sector plays a key role in aligning financial flows with a path towards sustainable development. In this research, we focus on the process of integrating environmental, social, and governance (ESG) criteria, which will lead to a better reorientation of investments towards socially and environmentally useful projects. With this aim, we approach the ESG-Integration problem in portfolio selection using a recently proposed evolutionary multiobjective optimization procedure called ev-MOGA. This new approach significantly improves over exact methods and allows a better assessment of financial and ESG criteria tradeoffs. As an application example, we compute the mean-variance-ESG non-dominated surface for ESG motivated investors who want to assess the tradeoffs among the three criteria.
For the entire collection see [Zbl 1530.90006].

MSC:

90Cxx Mathematical programming
Full Text: DOI

References:

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