IDEAS home Printed from https://ideas.repec.org/a/sae/revmar/v5y2013i3p249-270.html
   My bibliography  Save this article

A Cointegration Analysis of Oil and Agricultural Prices

Author

Listed:
  • James Wilkinson
  • Atanu Ghoshray

Abstract

The rise of biofuels as a mainstream fuel source coupled with large price fluctuations in both crude oil and agricultural commodity markets in recent years has led to several investigations into the effect crude oil prices exert over agricultural commodity prices. This study analyses crude oil, corn, soybean and sugar prices from 1980 to 2012 and applies time series econometric methods to determine the equilibrium relationship and causality among the commodity prices. The study then examines the adjustment dynamics of the prices after an exogenous shock to oil prices. The results show that oil only plays a small role in the long-run equilibrium relationship among the grain commodities; however, there is strong evidence that the oil price shocks affect agricultural commodity prices in the short to medium term. An exogenous shock to oil prices is found to affect sugar and corn prices, the two largest inputs into bio-ethanol globally.

Suggested Citation

  • James Wilkinson & Atanu Ghoshray, 2013. "A Cointegration Analysis of Oil and Agricultural Prices," Review of Market Integration, India Development Foundation, vol. 5(3), pages 249-270, December.
    • Handle: RePEc:sae:revmar:v:5:y:2013:i:3:p:249-270
    DOI: 10.1177/0974929214538359
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0974929214538359
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0974929214538359?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Saghaian, Sayed H., 2010. "The Impact of the Oil Sector on Commodity Prices: Correlation or Causation?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 42(3), pages 477-485, August.
    2. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    3. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    4. Timilsina, Govinda R. & Mevel, Simon & Shrestha, Ashish, 2011. "Oil price, biofuels and food supply," Energy Policy, Elsevier, vol. 39(12), pages 8098-8105.
    5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    6. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    7. 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.
    8. Natanelov, Valeri & Alam, Mohammad J. & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2011. "Is there co-movement of agricultural commodities futures prices and crude oil?," Energy Policy, Elsevier, vol. 39(9), pages 4971-4984, September.
    9. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    10. Harri, Ardian & Nalley, Lanier & Hudson, Darren, 2009. "The Relationship between Oil, Exchange Rates, and Commodity Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 501-510, August.
    11. Myers, Robert J., 1994. "Time Series Econometrics and Commodity Price Analysis: A Review," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 62(02), pages 1-15, August.
    12. Wetzstein, M. & Wetzstein, H., 2011. "Four myths surrounding U.S. biofuels," Energy Policy, Elsevier, vol. 39(7), pages 4308-4312, July.
    13. Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
    14. 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.
    15. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    16. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    17. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    18. Hochman, Gal & Rajagopal, Deepak & Timilsina, Govinda & Zilberman, David, 2011. "The role of inventory adjustments in quantifying factors causing food price inflation," Policy Research Working Paper Series 5744, The World Bank.
    19. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679, Decembrie.
    20. Dabin Wang & William G. Tomek, 2007. "Commodity Prices and Unit Root Tests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 873-889.
    21. Peterson, Hikaru Hanawa & Tomek, William G., 2000. "Implications Of Deflating Commodity Prices For Time-Series Analysis," 2000 Conference, April 17-18 2000, Chicago, Illinois 18944, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiang, Yonghong & Lao, Jiashun & Mo, Bin & Nie, He, 2018. "Dynamic linkages among global oil market, agricultural raw material markets and metal markets: An application of wavelet and copula approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 265-279.
    2. Phillip A. Cartwright & Natalija Riabko, 2019. "Do spot food commodity and oil prices predict futures prices?," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 153-194, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ebenezer, Appiah Collins & Jatoe, John Baptist D. & Mensa-Bonsu, Akwasi, 2018. "Food Price Sensitivity To Changes In Petroleum Price And Exchange Rate In Ghana: A Cointegration Analysis," 2018 Conference (2nd), August 8-11, Kumasi, Ghana 277791, Ghana Association of Agricultural Economists.
    2. Filip, Ondrej & Janda, Karel & Kristoufek, Ladislav & Zilberman, David, 2019. "Food versus fuel: An updated and expanded evidence," Energy Economics, Elsevier, vol. 82(C), pages 152-166.
    3. Shahzad, Farrukh & Bouri, Elie & Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Energy, agriculture, and precious metals: Evidence from time-varying Granger causal relationships for both return and volatility," Resources Policy, Elsevier, vol. 74(C).
    4. Pal, Debdatta & Mitra, Subrata K., 2017. "Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis," Energy Economics, Elsevier, vol. 62(C), pages 230-239.
    5. Fernandez-Perez, Adrian & Frijns, Bart & Tourani-Rad, Alireza, 2016. "Contemporaneous interactions among fuel, biofuel and agricultural commodities," Energy Economics, Elsevier, vol. 58(C), pages 1-10.
    6. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    7. Guellil, Mohammed Seghir & Benbouziane, Mohamed, 2018. "Volatility Linkages between Agricultural Commodity Prices, Oil Prices and Real USD Exchange Rate || Vínculos de volatilidad entre precios de productos agrícolas, precios del petróleo y tipo de cambio ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 71-83, Diciembre.
    8. Papież, Monika, 2014. "A dynamic analysis of causality between prices of corn, crude oil and ethanol," MPRA Paper 56540, University Library of Munich, Germany.
    9. Gbadebo A. Oladosu & Keith L. Kline & Johannes W. A. Langeveld, 2021. "Structural Break and Causal Analyses of U.S. Corn Use for Ethanol and Other Corn Market Variables," Agriculture, MDPI, vol. 11(3), pages 1-15, March.
    10. Ayhan KAPUSUZOGLU & Merve KARACAER ULUSOY, 2015. "The interactions between agricultural commodity and oil prices: an empirical analysis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(9), pages 410-421.
    11. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2014. "Oil price shocks and agricultural commodity prices," Energy Economics, Elsevier, vol. 44(C), pages 22-35.
    12. Debdatta Pal & Subrata K. Mitra, 2017. "Diesel and soybean price relationship in the USA: evidence from a quantile autoregressive distributed lag model," Empirical Economics, Springer, vol. 52(4), pages 1609-1626, June.
    13. Gbadebo Oladosu & Siwa Msangi, 2013. "Biofuel-Food Market Interactions: A Review of Modeling Approaches and Findings," Agriculture, MDPI, vol. 3(1), pages 1-19, February.
    14. Aynur Pala, 2013. "Structural Breaks, Cointegration, and Causality by VECM Analysis of Crude Oil and Food Price," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 238-246.
    15. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Yoon, Seong-Min, 2014. "Dynamic spillovers among major energy and cereal commodity prices," Energy Economics, Elsevier, vol. 43(C), pages 225-243.
    16. Riza Radmehr & Shida Rastegari Henneberry, 2020. "Energy Price Policies and Food Prices: Empirical Evidence from Iran," Energies, MDPI, vol. 13(15), pages 1-15, August.
    17. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
    18. Eissa, Mohamad Abdelaziz & Al Refai, Hisham, 2019. "Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil," Resources Policy, Elsevier, vol. 64(C).
    19. Giray GOZGOR & Baris KABLAMACI, 2014. "The linkage between oil and agricultural commodity prices in the light of the perceived global risk," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(7), pages 332-342.
    20. Karel Janda & Ladislav Kristoufek, 2019. "The relationship between fuel and food prices: Methods, outcomes, and lessons for commodity price risk management," CAMA Working Papers 2019-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:revmar:v:5:y:2013:i:3:p:249-270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.idfresearch.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.