We rely on bilevel programming to model the problem of financial service providers that, in order to meet stakeholders’ demands and regulatory re- quirements, 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 com- plicated 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.
Cesarone, F., Lampariello, L., Merolla, D., Ricci, J.M., Sagratella, S., Giuseppe Sasso, V. (2023). A bilevel approach to ESG multi-portfolio selection. In XLVII Annual Meeting of the Italian Association for Mathematics Applied to Social and Economic Sciences.
A bilevel approach to ESG multi-portfolio selection
Francesco Cesarone;Jacopo Maria Ricci;Simone Sagratella;
2023-01-01
Abstract
We rely on bilevel programming to model the problem of financial service providers that, in order to meet stakeholders’ demands and regulatory re- quirements, 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 com- plicated 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
