IDEAS home Printed from https://ideas.repec.org/p/ags/ulavwp/118580.html
   My bibliography  Save this paper

On the Evolving Relationship between Corn and Oil Prices

Author

Listed:
  • Elmarzougui, Eskandar
  • Larue, Bruno

Abstract

The relationship between corn and oil prices is not a stable one. We identified three breaks in the relationship between corn and oil prices. The first break coincides with the second oil crisis. The second break marks the end of the agricultural export subsidy war between the EU and the US in the mid 1980s while the third one occurred at the beginning of the ethanol boom at the very end of the 1990s. The relationship between corn and oil prices tends to be stronger when oil prices are highly volatile and when agricultural policies create less distortion. The ethanol boom strengthened the relation between corn and oil prices which are (were not) cointegrated in the fourth regime (first three) regime(s). Impulse response functions confirm that corn prices systematically respond to oil price shocks, but the converse is not observed.

Suggested Citation

  • Elmarzougui, Eskandar & Larue, Bruno, 2011. "On the Evolving Relationship between Corn and Oil Prices," Working Papers 118580, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    • Handle: RePEc:ags:ulavwp:118580
    DOI: 10.22004/ag.econ.118580
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/118580/files/CREATE2011-3.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.118580?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-645, August.
    2. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    3. In Choi & Pentti Saikkonen, 2004. "Testing linearity in cointegrating smooth transition regressions," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 341-365, December.
    4. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    5. Wallace E. Tyner & Farzad Taheripour, 2008. "Policy Options for Integrated Energy and Agricultural Markets ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 387-396.
    6. D. W. K. Andrews, 2003. "End-of-Sample Instability Tests," Econometrica, Econometric Society, vol. 71(6), pages 1661-1694, November.
    7. Barry K. Goodwin & Nicholas E. Piggott, 2001. "Spatial Market Integration in the Presence of Threshold Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 302-317.
    8. Zhang, Zibin & Vedenov, Dmitry V. & Wetzstein, Michael E., 2007. "Can the U.S. Ethanol Industry Compete in the Alternative Fuels' Market?," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34867, Southern Agricultural Economics Association.
    9. Ronald A. Babula & Fred J. Ruppel & David A. Bessler, 1995. "U.S. corn exports: the role of the exchange rate," Agricultural Economics, International Association of Agricultural Economists, vol. 13(2), pages 75-88, November.
    10. Maslyuk, Svetlana & Smyth, Russell, 2008. "Unit root properties of crude oil spot and futures prices," Energy Policy, Elsevier, vol. 36(7), pages 2591-2600, July.
    11. Zeileis, Achim & Kleiber, Christian & Kramer, Walter & Hornik, Kurt, 2003. "Testing and dating of structural changes in practice," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 109-123, October.
    12. Byeongseon Seo, 2004. "Testing for Nonlinear Adjustment in Smooth Transition Vector Error Correction Models," Econometric Society 2004 Far Eastern Meetings 749, Econometric Society.
    13. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    14. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    15. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2006. "Testing For Cointegration In Nonlinear Smooth Transition Error Correction Models," Econometric Theory, Cambridge University Press, vol. 22(2), pages 279-303, April.
    16. Hyeongwoo Kim, 2013. "Generalized impulse response analysis: General or Extreme?," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 10(2), pages 135-141, Julio – D.
    17. Rajagopal, Deepak & Zilberman, David, 2008. "Environmental, Economic and Policy Aspects of Biofuels," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(5), pages 353-468, October.
    18. Olivier Bonroy & Jean-Philippe Gervais & Bruno Larue, 2007. "Are exports a monotonic function of exchange rate volatility? Evidence from disaggregated pork exports," Canadian Journal of Economics, Canadian Economics Association, vol. 40(1), pages 127-154, February.
    19. Garcia, Rene & Perron, Pierre, 1996. "An Analysis of the Real Interest Rate under Regime Shifts," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 111-125, February.
    20. Yao, Yi-Ching, 1988. "Estimating the number of change-points via Schwarz' criterion," Statistics & Probability Letters, Elsevier, vol. 6(3), pages 181-189, February.
    21. Andrews, Donald W. K. & Lee, Inpyo & Ploberger, Werner, 1996. "Optimal changepoint tests for normal linear regression," Journal of Econometrics, Elsevier, vol. 70(1), pages 9-38, January.
    22. Henrik Hansen & Søren Johansen, 1999. "Some tests for parameter constancy in cointegrated VAR-models," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 306-333.
    23. Ujjayant Chakravorty & Marie-Hélène Hubert & Linda Nøstbakken, 2009. "Fuel Versus Food," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 645-663, September.
      • Ujjayant Chakravorty & Marie-Hélène Hubert & Linda Nøstbakken, 2009. "Fuel Versus Food," Post-Print halshs-01117673, HAL.
      • Chakravorty, Ujjayant & Hubert, Marie-Helene & Nostbakken, Linda, 2009. "Fuel versus Food," Working Papers 2009-20, University of Alberta, Department of Economics.
    24. von Braun, Joachim & Torero, Maximo, 2009. "Exploring the Price Spike," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 24(1), pages 1-6.
    25. Quoc V. Luong & Loren W. Tauer, 2006. "A real options analysis of coffee planting in Vietnam," Agricultural Economics, International Association of Agricultural Economists, vol. 35(1), pages 49-57, July.
    26. Carrion-i-Silvestre, Josep Lluis & Sanso-i-Rossello, Andreu & Ortuno, Manuel Artis, 2001. "Unit root and stationarity tests' wedding," Economics Letters, Elsevier, vol. 70(1), pages 1-8, January.
    27. Larue, Bruno & Ker, Alan, 1993. "World Price Variability versus Protectionism in Agriculture: A Causality Analysis," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 342-346, May.
    28. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    29. Szymon Wlazlowski, 2007. "Crude oil — end‐product linkages in the European petroleum markets," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 31(2), pages 73-90, June.
    30. Lanza, Alessandro & Manera, Matteo & Giovannini, Massimo, 2005. "Modeling and forecasting cointegrated relationships among heavy oil and product prices," Energy Economics, Elsevier, vol. 27(6), pages 831-848, November.
    31. Teresa Serra & David Zilberman & José M. Gil & Barry K. Goodwin, 2011. "Nonlinearities in the U.S. corn‐ethanol‐oil‐gasoline price system," Agricultural Economics, International Association of Agricultural Economists, vol. 42(1), pages 35-45, January.
    32. Kelvin Balcombe & Alastair Bailey & Jonathan Brooks, 2007. "Threshold Effects in Price Transmission: The Case of Brazilian Wheat, Maize, and Soya Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 308-323.
    33. 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.
    34. Parker, Cameron & Paparoditis, Efstathios & Politis, Dimitris N., 2006. "Unit root testing via the stationary bootstrap," Journal of Econometrics, Elsevier, vol. 133(2), pages 601-638, August.
    35. Kelvin Balcombe & George Rapsomanikis, 2008. "Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 658-668.
    36. Oecd, 2006. "Agricultural Market Impacts of Future Growth in the Production of Biofuels," OECD Papers, OECD Publishing, vol. 6(1), pages 1-57.
    37. Saikkonen, Pentti & Choi, In, 2004. "Cointegrating Smooth Transition Regressions," Econometric Theory, Cambridge University Press, vol. 20(2), pages 301-340, April.
    38. Robert A. Amano & Simon van Norden, 1995. "Unit Root Tests and the Burden of Proof," Econometrics 9502005, University Library of Munich, Germany.
    39. Zibin Zhang & Luanne Lohr & Cesar Escalante & Michael Wetzstein, 2009. "Ethanol, Corn, and Soybean Price Relations in a Volatile Vehicle-Fuels Market," Energies, MDPI, vol. 2(2), pages 1-20, June.
    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. 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).
    2. Walter Enders & Matthew T. Holt, 2014. "The Evolving Relationships between Agricultural and Energy Commodity Prices: A Shifting-Mean Vector Autoregressive Analysis," NBER Chapters, in: The Economics of Food Price Volatility, pages 135-187, National Bureau of Economic Research, Inc.
    3. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Price Relationships of Crude Oil and Food Commodities," Working Papers fa06-2013, Economics for Energy.

    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. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    2. Serra, Teresa, 2011. "Volatility spillovers between food and energy markets: A semiparametric approach," Energy Economics, Elsevier, vol. 33(6), pages 1155-1164.
    3. 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.
    4. Peri, Massimo & Baldi, Lucia, 2013. "The effect of biofuel policies on feedstock market: Empirical evidence for rapeseed oil prices in EU," Resource and Energy Economics, Elsevier, vol. 35(1), pages 18-37.
    5. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    6. Walter Enders & Matthew T. Holt, 2014. "The Evolving Relationships between Agricultural and Energy Commodity Prices: A Shifting-Mean Vector Autoregressive Analysis," NBER Chapters, in: The Economics of Food Price Volatility, pages 135-187, National Bureau of Economic Research, Inc.
    7. Islam Hassouneh & Teresa Serra & José M. Gil, 2010. "Price transmission in the Spanish bovine sector: the BSE effect," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 33-42, January.
    8. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    9. Kristensen, Dennis & Rahbek, Anders, 2010. "Likelihood-based inference for cointegration with nonlinear error-correction," Journal of Econometrics, Elsevier, vol. 158(1), pages 78-94, September.
    10. Perron, Pierre, 2020. "L'estimation de modèles avec changements structurels multiples," L'Actualité Economique, Société Canadienne de Science Economique, vol. 96(4), pages 789-837, Décembre.
    11. Christopher J. Neely & David E. Rapach, 2008. "Real interest rate persistence: evidence and implications," Review, Federal Reserve Bank of St. Louis, vol. 90(Nov), pages 609-642.
    12. Miller, Stephen M. & Martins, Luis Filipe & Gupta, Rangan, 2019. "A Time-Varying Approach Of The Us Welfare Cost Of Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 775-797, March.
    13. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    14. Goetz, Linde & von Cramon-Taubadel, Stephan, 2008. "Considering threshold effects in the long-run equilibrium in a vector error correction model: An application to the German apple market," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44247, European Association of Agricultural Economists.
    15. Abdelradi, Fadi & Serra, Teresa, 2015. "Food–energy nexus in Europe: Price volatility approach," Energy Economics, Elsevier, vol. 48(C), pages 157-167.
    16. Venkata Jandhyala & Stergios Fotopoulos & Ian MacNeill & Pengyu Liu, 2013. "Inference for single and multiple change-points in time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 423-446, July.
    17. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    18. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2011. "The dollar-euro exchange rate and macroeconomic fundamentals: a time-varying coefficient approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(1), pages 11-40, April.
    19. Stephan Brosig & Thomas Glauben & Linde Götz & Enno‐Burghard Weitzel & Ahmet Bayaner, 2011. "The Turkish wheat market: spatial price transmission and the impact of transaction costs," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 147-161, Spring.
    20. repec:ipg:wpaper:2014-474 is not listed on IDEAS
    21. Ivan Djuric & Linde Götz & Thomas Glauben, 2015. "Are Export Restrictions an Effective Instrument to Insulate Domestic Prices Against Skyrocketing World Market Prices? The Wheat Export Ban in Serbia," Agribusiness, John Wiley & Sons, Ltd., vol. 31(2), pages 215-228, April.

    More about this item

    Keywords

    Agricultural and Food Policy;

    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
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:ulavwp:118580. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/calvlca.html .

    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.