Un análisis de series de tiempo mediante modelos SARIMAX para la proyección de demanda de carga en el puerto del Callao
Journal Title: REVISTA DE ANÁLISIS ECONÓMICO Y FINANCIERO - Year 2019, Vol 2, Issue 2
Abstract
The main objective of this article is to estimate and provide forecast models to predict the cargo performance for the Port of Callao from 2019 to 2023. These results could be used to make a prospective analysis, improve investment decisions and determine port rates. . For this purpose, SARIMAX time series models are used with the inclusion of exogenous inputs that are representative of the cargo performance of the three terminals of the Port of Callao: APMTC, DPWC and TC. The forecast results indicate that by 2023 a total of 17 million MT and 3.4 million TEUs will be reached, activating the investment triggers for APMTC and DPWC.
Authors and Affiliations
Victor Alejandro Chang Rojas
Keywords
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- EP ID EP700757
- DOI https://doi.org/10.24265/raef.2019.v2n2.12
- Views 121
- Downloads 0
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