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Return and volatility transmission between oil price shocks and agricultural commodities

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  • Zaghum Umar
  • Mariya Gubareva
  • Muhammad Naeem
  • Ayesha Akhter

Abstract

This paper studies the connectedness between oil price shocks and agricultural commodities. Our sample period ranges from January 2002 to July 2020, covering the three global crises; Global Financial Crisis, the European sovereign debt crisis and Covid-19 pandemic crisis. We employ Granger causality tests, and the static and dynamic connectedness spillover index methodology. We find that the shocks in oil prices are Granger-caused mainly by price changes of grains, live cattle, and wheat, while supply shock granger causes variations mostly in grain prices. We find that, from the point of view of static connectedness, for both, price and volatility spillovers, the livestock is the largest transmitter, while the lean hogs are the major receiver. Our dynamic analysis evidences that connectedness increases during the financial crisis period. Our results are potentially useful for investors, portfolios managers and policy makers.

Suggested Citation

  • Zaghum Umar & Mariya Gubareva & Muhammad Naeem & Ayesha Akhter, 2021. "Return and volatility transmission between oil price shocks and agricultural commodities," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.
  • Handle: RePEc:plo:pone00:0246886
    DOI: 10.1371/journal.pone.0246886
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    References listed on IDEAS

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    1. Christiane Baumeister & Lutz Kilian, 2014. "Do oil price increases cause higher food prices? [Biofuels, binding constraints, and agricultural commodity price volatility]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(80), pages 691-747.
    2. Craig Sugden, 2009. "Responding to High Commodity Prices," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 23(1), pages 79-105, May.
    3. Zaremba, Adam & Umar, Zaghum & Mikutowski, Mateusz, 2019. "Inflation hedging with commodities: A wavelet analysis of seven centuries worth of data," Economics Letters, Elsevier, vol. 181(C), pages 90-94.
    4. Spierdijk, Laura & Umar, Zaghum, 2015. "Stocks, bonds, T-bills and inflation hedging: From great moderation to great recession," Journal of Economics and Business, Elsevier, vol. 79(C), pages 1-37.
    5. Cooke, Bryce & Robles, Miguel, 2009. "Recent food prices movements: A time series analysis," IFPRI discussion papers 942, International Food Policy Research Institute (IFPRI).
    6. Adam, P. & Rianse, U. & Harafah, Ĺ. M. & Cahyono, E. & Rafiy, M., 2016. "A Model of the Dynamics of the Effect of World Crude Oil Price and World Rice Price on Indonesia’s Inflation Rate," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(1), pages 1-10, March.
    7. Rafiq, Shuddhasawtta & Salim, Ruhul & Bloch, Harry, 2009. "Impact of crude oil price volatility on economic activities: An empirical investigation in the Thai economy," Resources Policy, Elsevier, vol. 34(3), pages 121-132, September.
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