Please use this identifier to cite or link to this item: http://ri.uaemex.mx/handle20.500.11799/68746
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dc.contributor.authorEDUARDO ROSAS ROJASen_EU
dc.contributor.authorERICKA JUDITH ARIAS GUZMANen_EU
dc.contributor.authorJESSICA GAMEZ ARROYOen_EU
dc.contributor.authorJAVIER LAPA GUZMANen_EU
dc.contributor.authorGABRIELA GAVIÑO ORTIZen_EU
dc.creatorEDUARDO ROSAS ROJAS-
dc.creatorERICKA JUDITH ARIAS GUZMAN-
dc.creatorJESSICA GAMEZ ARROYO-
dc.creatorJAVIER LAPA GUZMAN-
dc.creatorGABRIELA GAVIÑO ORTIZ-
dc.date2017-11-17-
dc.identifierhttp://hdl.handle.net/20.500.11799/68746-
dc.descriptionThe present research aims to provide a relevant algorithm for the proper identification of a data generating process (economic and financial variables) by using the "auto.arima" command, belonging to the forecast library (R statistical software), to identify the optimal parameters of the ARIMA model. Considering the methodological framework of Box and Jenkins process (1970), it seeks to achieve, by solving a stochastic difference equation, the correct calibration and obtaining an optimal forecast for the Mexican Monetary Base, one of the main economic variabes.-
dc.descriptionThe present research aims to provide a relevant algorithm for the proper identification of a data generating process (economic and financial variables) by using the "auto.arima" command, belonging to the forecast library (R statistical software), to identify the optimal parameters of the ARIMA model. Considering the methodological framework of Box and Jenkins process (1970), it seeks to achieve, by solving a stochastic difference equation, the correct calibration and obtaining an optimal forecast for the Mexican Monetary Base, one of the main economic variabes.-
dc.descriptionUAEMEX. SIEA-
dc.languagespa-
dc.publisherRINOE-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttp://creativecommons.org/licenses/by/4.0-
dc.source2524-2040-
dc.subjectresearch subject categories-
dc.subjectinfo:eu-repo/classification/cti/5-
dc.titlePrognosis of the monetary base of Mexico. Algorithm for the box-jenkins methodology (1985-2015)-
dc.typearticle-
dc.audiencestudents-
dc.audienceresearchers-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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