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dc.contributor.authorMaté Jiménez, Carloses-ES
dc.date.accessioned2016-01-15T11:17:35Z-
dc.date.available2016-01-15T11:17:35Z-
dc.date.issued2011-06-01es_ES
dc.identifier.issn0120-1751es_ES
dc.identifier.urihttp://hdl.handle.net/11531/5104-
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractForecasting is characterized by the availability of a lot of methods and the fact that technological and economic forecast horizons are increasingly more different from each other. Combining forecasts is an adequate methodology for handling the above scenario, which is conceptually suitable for the application of several methods of multivariate analysis. This paper reviews some main problems in combining forecasts efficiently from the multivariate analysis view. In particular, a methodology to produce combined forecasts with a large number of forecasts is proposed. The usefulness of such a methodology is assessed in exchange rates forecasting. Further research is suggested for finance as well as for other practical contexts such as energy markets.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Revista Colombiana de Estadística, Periodo: 1, Volumen: online, Número: 2, Página inicial: 347, Página final: 275es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleA multivariate analysis approach to forecasts combination. Application to Foreign Exchange (FX) marketses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordses-ES
dc.keywordsCombining forecasting, Factor analysis, Forecasting methodology, Principal components analysis, Time series.en-GB
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