Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/142320
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Campo DCValorIdioma
dc.contributor.authorRua, António-
dc.contributor.authorNunes, Luis C.-
dc.date.accessioned2022-07-22T22:19:22Z-
dc.date.available2022-07-24T00:31:41Z-
dc.date.issued2005-07-
dc.identifier.issn0169-2070-
dc.identifier.otherPURE: 2020870-
dc.identifier.otherPURE UUID: d3bdafe4-623b-40ee-9fa2-3c697cc2241e-
dc.identifier.otherScopus: 21644435521-
dc.identifier.otherWOS: 000230800700008-
dc.identifier.otherORCID: /0000-0001-8115-6223/work/116244575-
dc.identifier.urihttp://hdl.handle.net/10362/142320-
dc.description.abstractThe aim of this paper is to build monthly coincident and leading composite indicators for the euro area growth cycle. In contrast with previous literature, where the variables to be included in the composite indicators are chosen according to their overall comovement with the reference cycle, we resort to frequency domain analysis to achieve additional insight about their relationships at different frequency bands. We find that, in general, the lead/lag properties of the variables depend on the cycle periodicity. The resulting indicators are analysed and a comparison with other composite indicators proposed in the literature is made. We find that this approach allows for substantial gains when the focus is on leading indicators, especially as the desired time lead increases.en
dc.format.extent21-
dc.language.isoeng-
dc.rightsopenAccesspt_PT
dc.subjectBandpass filter-
dc.subjectBusiness cycles-
dc.subjectCoincident indicator-
dc.subjectGrowth cycles-
dc.subjectLeading indicator-
dc.subjectPrincipal components-
dc.subjectSpectral analysis-
dc.subjectBusiness and International Management-
dc.titleCoincident and leading indicators for the euro area-
dc.typearticle-
degois.publication.firstPage503-
degois.publication.issue3-
degois.publication.lastPage523-
degois.publication.titleInternational Journal of Forecasting-
degois.publication.volume21-
dc.peerreviewedyes-
dc.identifier.doihttps://doi.org/10.1016/j.ijforecast.2005.02.001-
dc.description.versionauthorsversion-
dc.description.versionpublished-
dc.title.subtitleA frequency band approach-
dc.contributor.institutionNOVA School of Business and Economics (NOVA SBE)-
Aparece nas colecções:NSBE: Nova SBE - Artigos em revista internacional com arbitragem científica

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