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Long-run trends or short-run fluctuations What establishes the correlation between oil and food prices?

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  • Krätschell, Karoline
  • Schmidt, Torsten

Abstract

In this paper we use the frequency domain Granger causality test of Breitung/Candelon (2006) to analyse short and long-run causality between energy prices and prices of food commodities. We find that the oil price Granger causes all the considered food prices. However, when controlling for business cycle fluctuations this link exists especially at low frequencies. Thus, short-run phenomena like herd behaviour and speculation do not seem to have a considerable effect on the studied food prices. The relation between oil and food prices is rather established by long-term developments. A possible explanation for this could be the production of biofuel. --

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Paper provided by Verein für Socialpolitik / German Economic Association in its series Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order with number 79798.

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Date of creation: 2013
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Handle: RePEc:zbw:vfsc13:79798

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  1. Derek Headey & Shenggen Fan, 2008. "Anatomy of a crisis: the causes and consequences of surging food prices," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 375-391, November.
  2. Saghaian, Sayed H., 2010. "The Impact of the Oil Sector on Commodity Prices: Correlation or Causation?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(03), August.
  3. Stefan Gerlach & Katrin Assenmacher-Wesche, 2006. "Interpreting Euro area inflation at high and low frequencies," BIS Working Papers 195, Bank for International Settlements.
  4. Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431.
  5. Annastiina Silvennoinen & Susan Thorp, 2010. "Financialization, Crisis and Commodity Correlation Dynamics," Research Paper Series 267, Quantitative Finance Research Centre, University of Technology, Sydney.
  6. Jean-Marie Dufour & Denis Pelletier & Éric Renault, 2003. "Short Run and Long Run Causality in Time Series: Inference," CIRANO Working Papers 2003s-61, CIRANO.
  7. Vansteenkiste, Isabel, 2009. "How important are common factors in driving non-fuel commodity prices? A dynamic factor analysis," Working Paper Series 1072, European Central Bank.
  8. Lescaroux, François, 2009. "On the excess co-movement of commodity prices--A note about the role of fundamental factors in short-run dynamics," Energy Policy, Elsevier, vol. 37(10), pages 3906-3913, October.
  9. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
  10. Marc Gronwald, 2009. "Reconsidering the macroeconomics of the oil price in Germany: testing for causality in the frequency domain," Empirical Economics, Springer, vol. 36(2), pages 441-453, May.
  11. Paul Cashin & C. John McCDermott, 2002. "The Long-Run Behavior of Commodity Prices: Small Trends and Big Variability," IMF Staff Papers, Palgrave Macmillan, vol. 49(2), pages 2.
  12. Harri, Ardian & Nalley, Lawton Lanier & Hudson, Darren, 2009. "The Relationship between Oil, Exchange Rates, and Commodity Prices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(02), August.
  13. Zhang, Zibin & Lohr, Luanne & Escalante, Cesar & Wetzstein, Michael, 2010. "Food versus fuel: What do prices tell us?," Energy Policy, Elsevier, vol. 38(1), pages 445-451, January.
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