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EnglishPortfolio selection is a relevant problem arising in finance and economics. While its basic formulation can be efficiently solved through linear programming, its more practical and realistic variants, that include various kinds of constraints and objectives, have to be tackled by approximate algorithms. In this work, we present a hybrid technique that combines a local search, as master solver, with a quadratic programming procedure, as slave solver. Preliminary results show that the approach is very promising and achieves results comparable or superior with the state of the art solvers.
| Titolo: | A Hybrid Solver for Constrained Portfolio Selection Problems -preliminary report |
| Autore/i: | L. Di Gaspero; G. di Tollo; ROLI, ANDREA; A. Schaerf |
| Autore/i Unibo: | |
| Anno: | 2007 |
| Titolo del libro: | Proceedings of LION 2007 |
| Pagina iniziale: | 1 |
| Pagina finale: | 8 |
| Abstract: | Portfolio selection is a relevant problem arising in finance and economics. While its basic formulation can be efficiently solved through linear programming, its more practical and realistic variants, that include various kinds of constraints and objectives, have to be tackled by approximate algorithms. In this work, we present a hybrid technique that combines a local search, as master solver, with a quadratic programming procedure, as slave solver. Preliminary results show that the approach is very promising and achieves results comparable or superior with the state of the art solvers. |
| Data prodotto definitivo in UGOV: | 16-ott-2008 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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