Pronóstico de la tasa de cambio en Colombia (TRM) utilizando los modelos ARIMA-GARCH durante el período 1992-2025

dc.contributor.authorÉdgar Ricardo Jiménez Méndez
dc.contributor.authorNicolas Aguilera Peña
dc.contributor.authorRaúl Alberto Cortés Villafrádez
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:52:52Z
dc.date.available2026-03-22T19:52:52Z
dc.date.issued2025
dc.description.abstractThe economic figures forecast as exchange rate or the consumer price index are an essential tool for economic authorities, based on economic research analysts' expectations make decisions with effect in all society. This research has as objective to determinate a useful econometric model to forecast the Colombian exchange rate USD/COP (TRM). For this reason, it developed quantitative research applying ARIMA-GARCH models using time series data for TRM between 1992 and 2022. The results suggest that the model presented in this work achieves adequately filtered the information contained in lags using Q-Stat test, without simple autocorrelation problems at 5% in statistical significance. This permits us to establish that the estimated parameters for forecasting the TRM are significant. Consequently, it is concluded that the model has predictive capacity to forecast the exchange rate between the Colombian peso and the US dollar in the short term.
dc.identifier.doi10.17561/ree.n1.2026.9661
dc.identifier.urihttps://doi.org/10.17561/ree.n1.2026.9661
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/78675
dc.language.isoes
dc.publisherFacultad de Ciencias Sociales y Jurídicas, Universidad de Jaén
dc.relation.ispartofRevista de estudios empresariales
dc.sourceUniversidad de Bogotá Jorge Tadeo Lozano
dc.subjectExchange rate
dc.subjectEconomics
dc.subjectEconometric model
dc.subjectEconometrics
dc.subjectIndex (typography)
dc.subjectLiberian dollar
dc.subjectUs dollar
dc.subjectAutocorrelation
dc.subjectWork (physics)
dc.subjectTime series
dc.titlePronóstico de la tasa de cambio en Colombia (TRM) utilizando los modelos ARIMA-GARCH durante el período 1992-2025
dc.typearticle

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