We focus on the case of a financial service provider having to manage different clients’ accounts via assigning them to multiple managers. In this multi-agent scenario, we introduce sparsity-enhancing terms in the objectives of both clients and managers. The resulting decision problem can be modeled as a hierarchical GNEP that is Jointly-Convex with nonsmooth objectives. We study the main theoretical properties of this multi-agent problem, and show that it is solvable under mild conditions.

Nonsmooth Hierarchical Multi Portfolio Selection / Lampariello, L.; Sagratella, S.; Sasso, V. G.. - (2023), pp. 37-46. - AIRO SPRINGER SERIES. [10.1007/978-3-031-28863-0_4].

Nonsmooth Hierarchical Multi Portfolio Selection

Lampariello L.
;
Sagratella S.
;
Sasso V. G.
2023

Abstract

We focus on the case of a financial service provider having to manage different clients’ accounts via assigning them to multiple managers. In this multi-agent scenario, we introduce sparsity-enhancing terms in the objectives of both clients and managers. The resulting decision problem can be modeled as a hierarchical GNEP that is Jointly-Convex with nonsmooth objectives. We study the main theoretical properties of this multi-agent problem, and show that it is solvable under mild conditions.
2023
Optimization and Decision Science: Operations Research, Inclusion and Equity
9783031288623
9783031288630
Generalised Nash Equilibrium Problems; Hierarchical Programs; Multi-Portfolio Selection
02 Pubblicazione su volume::02a Capitolo o Articolo
Nonsmooth Hierarchical Multi Portfolio Selection / Lampariello, L.; Sagratella, S.; Sasso, V. G.. - (2023), pp. 37-46. - AIRO SPRINGER SERIES. [10.1007/978-3-031-28863-0_4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1725552
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