Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/12319
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dc.contributor.authorCruz, A.-
dc.contributor.authorDias, J. C.-
dc.date.accessioned2017-01-09T17:49:08Z-
dc.date.available2017-01-09T17:49:08Z-
dc.date.issued2017-
dc.identifier.issn0270-7314-
dc.identifier.urihttp://hdl.handle.net/10071/12319-
dc.description.abstractThis article compares alternative binomial approximation schemes for computing the option hedge ratios studied by Chung and Shackleton (2002), Chung, Hung, Lee, and Shih (2011), and Pelsser and Vorst (1994) under the lognormal assumption, but now considering the constant elasticity of variance (CEV) process proposed by Cox (1975) and using the continuous-time analytical Greeks recently offered by Larguinho, Dias, and Braumann (2013) as the benchmarks. Among all the binomial models considered in this study, we conclude that an extended tree binomial CEV model with the smooth and monotonic convergence property is the most efficient method for computing Greeks under the CEV diffusion process because one can apply the two-point extrapolation formula suggested by Chung et al. (2011)eng
dc.language.isoeng-
dc.publisherWiley-Blackwell-
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147442/PT-
dc.rightsembargoedAccesspor
dc.titleThe binomial CEV model and the Greekseng
dc.typearticle-
dc.pagination90 - 104-
dc.publicationstatusPublicadopor
dc.peerreviewedyes-
dc.journalJournal of Futures Markets-
dc.distributionInternacionalpor
dc.volume37-
dc.number1-
degois.publication.firstPage90-
degois.publication.lastPage104-
degois.publication.issue1-
degois.publication.titleThe binomial CEV model and the Greekseng
dc.date.updated2019-03-21T16:05:02Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1002/fut.21791-
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
iscte.subject.odsTrabalho digno e crescimento económicopor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.subject.odsProdução e consumo sustentáveispor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-29295-
iscte.alternateIdentifiers.wosWOS:000389461700005-
iscte.alternateIdentifiers.scopus2-s2.0-84999663763-
Aparece nas coleções:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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