Selecting mean-variance portfolio by non-linear mixed-integer programming methods

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Titel: Selecting mean-variance portfolio by non-linear mixed-integer programming methods
Autoren: Andramonov M. Y., CORAZZA, Marco
Verlagsinformationen: Pitagora Editrice, 1994.
Publikationsjahr: 1994
Schlagwörter: Mean-Variance analysis, Portfolio selection model, Transaction costs, Taxes, Limited divisibility of the assets, non-linear mixed integer programming, Sub-gradient methods, Branch and Bound methods
Beschreibung: In this paper we propose a model for mean-variance portfolio selection in form of a non-linear mixed integer programming problem. We take into account the transaction costs, taxes and limited divisibility of the stocks. For finding the optimal solution, the combination of sub-gradient methods and branch and bound ones is used.
Publikationsart: Conference object
Dateibeschreibung: application/pdf
Sprache: English
Zugangs-URL: https://www.amases.org/wp-content/uploads/2020/07/Convegno_Amases_1994_18.pdf
https://hdl.handle.net/10278/29734
Dokumentencode: edsair.od......3655..c7c3f4a8e35c1e31aebb6a10edffbc9c
Datenbank: OpenAIRE
Beschreibung
Abstract:In this paper we propose a model for mean-variance portfolio selection in form of a non-linear mixed integer programming problem. We take into account the transaction costs, taxes and limited divisibility of the stocks. For finding the optimal solution, the combination of sub-gradient methods and branch and bound ones is used.