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dc.contributor.authorUsta, İlhan
dc.contributor.authorMert Kantar, Yeliz
dc.contributor.editorDeFelice, F
dc.date.accessioned2019-10-20T09:31:28Z
dc.date.available2019-10-20T09:31:28Z
dc.date.issued2007
dc.identifier.isbn978-0-88986-687-4
dc.identifier.issn1021-8181
dc.identifier.urihttps://hdl.handle.net/11421/17702
dc.description16th IASTED International Conference on Applied Simulation and Modelling -- AUG 29-31, 2007 -- Palma de Mallorca, SPAINen_US
dc.descriptionWOS: 000251419200005en_US
dc.description.abstractIn portfolio management, the selection of portfolio weights has received considerable interest. Considering the expected return, risk and uncertainty, the portfolio distribution is to be determined. The maximum entropy (MaxEnt) principle is one of the efficient methods to find distribution of random variables. Thus, in this study, the maximum entropy (MaxEnt) principle is presented as an alternative method of determination of portfolios distribution. Beside, a numerical example is also presented to illustrate this principle.en_US
dc.description.sponsorshipInt Assoc Sci & Technol Dev, IASTED TCMSen_US
dc.language.isoengen_US
dc.publisherActa Press Anaheimen_US
dc.relation.ispartofseriesIASTED International Conference on Modelling and Simulation
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPortfolio Selectionen_US
dc.subjectOptimizationen_US
dc.subjectMaximum Entropy (Maxent) Principleen_US
dc.titlePortfolio optimization with entropy measureen_US
dc.typeconferenceObjecten_US
dc.relation.journalProceedings of the 16th Iasted International Conference On Applied Simulation and Modellingen_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.startpage26en_US
dc.identifier.endpage+en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorMert Kantar, Yeliz


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