Please use this identifier to cite or link to this item: http://ri.uaemex.mx/handle20.500.11799/68746
Title: Prognosis of the monetary base of Mexico. Algorithm for the box-jenkins methodology (1985-2015)
Authors: EDUARDO ROSAS ROJAS 
ERICKA JUDITH ARIAS GUZMAN 
JESSICA GAMEZ ARROYO 
JAVIER LAPA GUZMAN 
GABRIELA GAVIÑO ORTIZ 
Keywords: research subject categories;info:eu-repo/classification/cti/5
Publisher: RINOE
Description: The 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.
The 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.
UAEMEX. SIEA
Other Identifiers: http://hdl.handle.net/20.500.11799/68746
Rights: info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0
Appears in Collections:Producción

Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.