Analysis of the transmission of prices in the beef, maize and soybean markets of Mato Grosso

Authors

DOI:

https://doi.org/10.5433/2317-627X.2017v5n2p7

Keywords:

Transmission Price, Commodities, Vector Error Correction Model

Abstract

The present study aimed to analyse the transmission of price between cattle, corn and soybeans markets in Mato Grosso, Brazil, in the period January/2012 to December/2015, based on a time series analysis. The application of unit root tests (Augmented Dickey-Fuller - ADF) showed evidence that the series are non-stationary in levels but are stationery in first differences. The Johansen cointegration test showed evidence in favour of the existence of a long-term relationship between prices on the spot markets of live cattle, soybeans and corn in Mato Grosso. The VECM-Vector Error Correction Model showed that SELIC rate only impacts on soybean prices and that Ibovespa Index does not significantly affects the price of corn. The variance decomposition of forecast errors showed that the soy market suffers the greatest influence among the other markets, and particularly the corn one. The impulse response analysis, IRF, showed that in general beef’s price responds negatively to shocks on corn and soybean prices while corn and soybeans react positive and reciprocally.

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Author Biographies

Nágela Bueno dos Santos, Universidade Federal de Mato Grosso - UFMT

Master in Economics from the Universidade Federal de Mato Grosso

Dilamar Dallemole, Universidade Federal de Mato Grosso - UFMT

Post-Doctorate in Economics from the University of Beira Interior - Portugal. PhD in Agricultural Sciences from the Federal Rural University of the Amazon. Professor at the Universidade Federal de Mato Grosso (UFMT)

José Ramos Pires Manso, Universidade da Beira Interior

Professor at the Department of Management and Economics at the Universidade da Beira Interior.

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Published

2018-12-09

How to Cite

Bueno dos Santos, N., Dallemole, D., & Pires Manso, J. R. (2018). Analysis of the transmission of prices in the beef, maize and soybean markets of Mato Grosso. Economia & Região, 5(2), 7–21. https://doi.org/10.5433/2317-627X.2017v5n2p7

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Artigos