Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/31168
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dc.contributor.authorNunes, J.-
dc.contributor.authorRuas, J.-
dc.date.accessioned2024-02-23T11:43:16Z-
dc.date.available2024-02-23T11:43:16Z-
dc.date.issued2024-
dc.identifier.citationNunes, J., Ruas, J. (2024). A note on the Gumbel convergence for the Lee and Mykland jump tests. Finance Research Letters, 59, 104814. https://dx.doi.org/10.1016/j.frl.2023.104814-
dc.identifier.issn1544-6123-
dc.identifier.urihttp://hdl.handle.net/10071/31168-
dc.description.abstractThe Lee and Mykland (2008, 2012) nonparametric jump tests have been widely used in the literature but its critical region is stated with reference to the asymptotic distribution of the maximum of a set of standard normal variates. However, such reference would imply a typo (of a non-negligible order) for the norming constants adopted. By using the asymptotic distribution of the maximum of a set of folded normal random variables instead, this paper shows that there is no typo at all, thus preserving the validity of all the empirical findings based on these tests.eng
dc.language.isoeng-
dc.publisherElsevier-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00315%2F2020/PT-
dc.rightsopenAccess-
dc.subjectExtreme-value theoryeng
dc.subjectGumbel laweng
dc.subjectFolded normal distributioneng
dc.subjectJump detectioneng
dc.titleA note on the Gumbel convergence for the Lee and Mykland jump testseng
dc.typearticle-
dc.peerreviewedyes-
dc.volume59-
dc.date.updated2024-02-23T11:42:41Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1016/j.frl.2023.104814-
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-100198-
iscte.alternateIdentifiers.wosWOS:001135037900001-
iscte.alternateIdentifiers.scopus2-s2.0-85179060351-
iscte.journalFinance Research Letters-
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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