Prediction of the price of corn by means of time series

Authors

  • CLEITON TIBULO UNIVERSIDADE FEDERAL DE SANTA MARIA (UFSM)
  • Vaneza De Carli Tibulo Universidade Federal de Santa Maria

Keywords:

Corn, price, time series.

Abstract

Corn is a major crop of Brazilian agribusiness in both productivity and profitability and has gained space between the other cultures mainly in Rio Grande do Sul, where comes the traditional culture of wheat replacing. The importance of this crop is given by the fact that it can be used for various purposes from the food to the animal. Due to great economic influence of culture to the national and regional scenario this work addressed a comparison between the models of ARIMA time series and Holt-Winters exponential smoothing applied to historical series of monthly average price of maize in Rio Grande do Sul. The analysis of the results showed that the model Holt-Winters additive even for very little difference showed best results for corn price forecasts in comparison to the fitted model ARIAMA (1.1, 2).

Author Biographies

CLEITON TIBULO, UNIVERSIDADE FEDERAL DE SANTA MARIA (UFSM)

Estatística - Ciências exatas.

Mestrado em Engenharia de Produção

Vaneza De Carli Tibulo, Universidade Federal de Santa Maria

Mestre em Modelagem Matemática

Doutoranda em Ciências e Quimíca da Vida

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Published

2014-10-09

How to Cite

TIBULO, C., & Tibulo, V. D. C. (2014). Prediction of the price of corn by means of time series. Scientia Plena, 10(10). Retrieved from https://scientiaplena.org.br/sp/article/view/1904

Issue

Vol. 10 No. 10 (2014): October/Outubro 2014

Section

Articles

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