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dc.contributor.authorBayram, Mustafa
dc.contributor.authorOrucova Büyüköz, Gülşen
dc.contributor.authorPartal, Tuğçem
dc.date.accessioned2019-01-07T07:53:40Z
dc.date.available2019-01-07T07:53:40Z
dc.date.issued2018-01-07
dc.identifier.issn2334-7163
dc.identifier.issn0354-9836
dc.identifier.urihttp://hdl.handle.net/11363/806
dc.description.abstractIn this paper we discuss parameter estimation in black scholes model. A non-parametric estimation method and well known maximum likelihood estimator are considered. Our aim is to estimate the unknown parameters for stochastic differential equation with discrete time observation data. In simulation study we compare the non-parametric method with maximum likelihood method using stochastic numerical scheme named with Euler Maruyama.en_US
dc.language.isoengen_US
dc.publisherVinča Institute of Nuclear Sciences, Belgradeen_US
dc.relation.isversionofhttps://doi.org/10.2298/TSCI170915277Ben_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleParameter Estimation an a Black Scholesen_US
dc.typearticleen_US
dc.relation.ispartofThermal Science : International Scientific Journalen_US
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.identifier.volume22en_US
dc.identifier.issue1en_US
dc.identifier.startpage117en_US
dc.identifier.endpage122en_US
dc.relation.publicationcategoryKategori Yoken_US


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