Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/125396
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dc.contributor.authorLeón-Castro, Ernesto-
dc.contributor.authorAvilés-Ochoa, Ezequiel-
dc.contributor.authorGil Lafuente, Anna Maria-
dc.date.accessioned2018-10-17T10:25:44Z-
dc.date.available2018-10-17T10:25:44Z-
dc.date.issued2016-
dc.identifier.issn0424-267X-
dc.identifier.urihttp://hdl.handle.net/2445/125396-
dc.description.abstractThis paper aims to provide models that can predict the exchange rate and generate future scenarios of this variable, this because exchange risk management has become a strategic activity of the corporate governance. Also the study aims to expand the uses of operators like Heavy Ordering Weight Moving Average (HOWMA) in different fields of economy and management.-
dc.format.extent16 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherAcademy of Economic Studies in Bucharest-
dc.relation.isformatofReproducció del document publicat a: http://www.ecocyb.ase.ro/Articles2016_4.htm-
dc.relation.ispartofEconomic Computation and Economic Cybernetics Studies and Research, 2016, vol. 50, num. 4, p. 135-150-
dc.rights(c) León-Castro, Ernesto et al., 2016-
dc.sourceArticles publicats en revistes (Empresa)-
dc.subject.classificationModels economètrics-
dc.subject.classificationTemps real (Informàtica)-
dc.subject.classificationTeoria d'operadors-
dc.subject.otherEconometric models-
dc.subject.otherReal-time data processing-
dc.subject.otherOperator theory-
dc.titleExchange rate USD/MXN forecast through econometric models, time series and HOWMA operators-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec666448-
dc.date.updated2018-10-17T10:25:45Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Empresa)

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