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The Relationship between Oil and Brazilian Agricultural Commodities Prices

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  • Salles, Andre Assis de
  • Oliveira, Erick Meira de

Abstract

Many empirical studies have been conducted on the influence of international crude oil price movements on several markets, particularly on commodity markets which are crucial to the world economy. This paper aims to examine the conditional correlation between the returns of oil prices and certain agricultural commodities price returns, using appropriate multivariate GARCH models. The selection of such agricultural commodities takes into account their relevant weight in the Brazilian foreign trade. The results suggest that these models can be used for forecasting the behavior of the above-mentioned markets. All data have been obtained from weekly time series of the Brent type crude oil prices, in US$ per Barrel, and selected commodities FOB prices. The time period spanned by the analysis ranges from February 2004 to February 2012.

Suggested Citation

  • Salles, Andre Assis de & Oliveira, Erick Meira de, 2014. "The Relationship between Oil and Brazilian Agricultural Commodities Prices," MPRA Paper 98390, University Library of Munich, Germany, revised Dec 2019.
    • Handle: RePEc:pra:mprapa:98390
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    File URL: https://mpra.ub.uni-muenchen.de/98390/2/MPRA_paper_98390.pdf
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    References listed on IDEAS

    as
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    3. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    5. Musser, Wesley N. & Lambert, Dayton M. & Daberkow, Stan G., 2006. "Factors Affecting Direct and Indirect Energy Use in U.S. Corn Production," 2006 Annual meeting, July 23-26, Long Beach, CA 21063, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Gohin, A. & Chantret, F., 2010. "The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages," Energy Policy, Elsevier, vol. 38(1), pages 333-339, January.
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    More about this item

    Keywords

    Conditional Correlation; Volatility Models; Crude Oil Prices; Commodity Markets.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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