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 75
  • Downloads 0

How To Cite

Victor Alejandro Chang Rojas (2019). Un análisis de series de tiempo mediante modelos SARIMAX para la proyección de demanda de carga en el puerto del Callao. REVISTA DE ANÁLISIS ECONÓMICO Y FINANCIERO, 2(2), -. https://europub.co.uk/articles/-A-700757