We rely on bilevel programming to model the problem of financial service providers that, in order to meet stakeholders' demands and regulatory requirements, aim at incentivizing accounts' holders to construct ESG-oriented portfolios so that the overall ESG impact of the firm is optimized, while the preferences of accounts' owners are still satisfied. We analyze this complicated framework from a theoretical point of view and identify sufficient conditions that make it numerically tractable via a novel, specifically tailored algorithm, whose convergence properties are studied. Numerical testing on real-world data confirms the theoretical insights and shows that our model can be solved even when dealing with considerable problem sizes.
Dettaglio pubblicazione
2023, COMPUTATIONAL MANAGEMENT SCIENCE, Pages - (volume: 20)
A bilevel approach to ESG multi-portfolio selection (01a Articolo in rivista)
Cesarone F, Lampariello L, Merolla D, Ricci Jm, Sagratella S, Sasso Vg
Gruppo di ricerca: Continuous Optimization
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