Libros

Historia de la administración del Lord North, primer ministro de Inglaterra, y de la guerra de la América Septentrional hasta la paz [recurso electrónico] : Obra escrita en inglés, tr. al francés, y de este al castellano, con notas del traductor / por D.P.P. de A. ; [Michel-René Hilliard d'Auberteuil]

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Año de publicación 2019
Idioma Inglés

Descripción: Abstract: The VARX(1) model expressed in Vector Error Correction terms (VEC) is implemented to predict the corn futures price. To test its accuracy and performance, the results are compared to the real price and the projections obtained using an Autoregressive model (AR). The comparison contributes to the debate if multi-variate, multi-equations models outperformed simple Autoregressive models. Since immediate or contemporaneous relationships were found between the explanatory variables and the corn price, a contemporaneous model was developed as a second benchmark to test the VARX(1) model accuracy. As the third benchmark, a similar model found in the literature was used to test the results. One month-ahead, out-of-sample forecasting, is used to project the corn futures price. The results suggest that the VARX (1) outperformed the Autoregressive model, but the lagged effects of the own corn price still presented high explanatory power. The model present similar results when compared to other similar models found in the literature but underperform when compared to the contemporaneous model. Finally, the contemporaneous model developed here present important predictability and practical use for decision making in the agri-food industry.
Citación recomendada (normas APA)
: Martín Gutiérrez Gómez, "Forecasting the Corn Futures Price = Pronosticando el precio de los futuros de maíz", Colombia:-, 2019. Consultado en línea en la Biblioteca Digital de Bogotá (https://www.bibliotecadigitaldebogota.gov.co/resources/3711659/), el día 2025-08-05.

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- Otros
Derechos de uso Derechos reservados
Fuente Biblioteca Virtual Banco de la República
Términos y condiciones de uso Más información aquí
Año de publicación 2019
Formato PDF
Cobertura Colombia

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