IDEAS home Printed from https://ideas.repec.org/a/bla/ajarec/v66y2022i2p363-382.html
   My bibliography  Save this article

Do crop prices share common trends and common cycles?

Author

Listed:
  • Puneet Vatsa

Abstract

Global crop prices decidedly co‐move: research supporting this view abounds. What is unclear is how strong the co‐movement is between them. This paper tests for a strong form of co‐movement amongst global crop prices before and after the global financial crisis (GFC) using a multivariate decomposition framework based on a serial‐correlation common feature. More specifically, we analyze common trends (i.e., long‐run co‐movement) and common cycles (i.e., short‐run co‐movement) amongst the global prices of five major crops: corn, palm oil, rice, soybean, and wheat. We show that corn and soybean prices are closely associated in the long and the short run—they respond similarly to persistent and transitory shocks. Furthermore, their associations have strengthened since the GFC. In contrast, the co‐movement of rice prices with the other crop prices has weakened during the 2010s. Overall, the cycles are relatively muted after the GFC, indicating that the five crop prices are trend‐dominated during this period; the observed prices adhere closely to their long‐run trends.

Suggested Citation

  • Puneet Vatsa, 2022. "Do crop prices share common trends and common cycles?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 363-382, April.
    • Handle: RePEc:bla:ajarec:v:66:y:2022:i:2:p:363-382
    DOI: 10.1111/1467-8489.12464
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-8489.12464
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-8489.12464?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. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-360, Oct.-Dec..
    2. Dean Corbae & Sam Ouliaris & Peter C. B. Phillips, 2002. "Band Spectral Regression with Trending Data," Econometrica, Econometric Society, vol. 70(3), pages 1067-1109, May.
    3. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 369-380, October.
    4. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    5. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 393-395, October.
    6. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    7. Lucotte, Yannick, 2016. "Co-movements between crude oil and food prices: A post-commodity boom perspective," Economics Letters, Elsevier, vol. 147(C), pages 142-147.
    8. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    9. Song-Zan Chiou-Wei, Sheng-Hung Chen, and Zhen Zhu, 2019. "Energy and Agricultural Commodity Markets Interaction: An Analysis of Crude Oil, Natural Gas, Corn, Soybean, and Ethanol Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    10. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    11. Lence, Sergio & Falk, Barry, 2005. "Cointegration, market integration, and market efficiency," Journal of International Money and Finance, Elsevier, vol. 24(6), pages 873-890, October.
    12. Chunrong Ai & Arjun Chatrath & Frank Song, 2006. "On the Comovement of Commodity Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 574-588.
    13. John T Cuddington & Daniel Jerrett, 2008. "Super Cycles in Real Metals Prices?," IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 541-565, December.
    14. Peters, May & Langley, Suchada V. & Westcott, Paul C., 2009. "Agricultural Commodity Price Spikes in the 1970s and 1990s: Valuable Lessons for Today," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-8, March.
    15. Ciaian, Pavel & Kancs, d'Artis, 2011. "Interdependencies in the energy-bioenergy-food price systems: A cointegration analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 326-348, January.
    16. Cuddington, John T., 1992. "Long-run trends in 26 primary commodity prices : A disaggregated look at the Prebisch-Singer hypothesis," Journal of Development Economics, Elsevier, vol. 39(2), pages 207-227, October.
    17. Matteo Manera, Marcella Nicolini, and Ilaria Vignati, 2013. "Financial Speculation in Energy and Agriculture Futures Markets: A Multivariate GARCH Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    18. Peri, Massimo & Baldi, Lucia, 2010. "Vegetable oil market and biofuel policy: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 32(3), pages 687-693, May.
    19. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    20. John Baffes & Tassos Haniotis, 2016. "What Explains Agricultural Price Movements?," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 706-721, September.
    21. Druck, Pablo & Magud, Nicolas E. & Mariscal, Rodrigo, 2018. "Collateral damage: Dollar strength and emerging markets’ growth," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 97-117.
    22. Bruce Gardner, 1981. "On the Power of Macroeconomic Linkages to Explain Events in U.S. Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(5), pages 871-878.
    23. Cuddington, John T & Urzua, Carlos M, 1989. "Trends and Cycles in the Net Barter Terms of Trade: A New Approach," Economic Journal, Royal Economic Society, vol. 99(396), pages 426-442, June.
    24. repec:fgv:epgrbe:v:47:n:2:a:1 is not listed on IDEAS
    25. Aurélien Leroy & Yannick Lucotte, 2016. "Co-movements between crude oil and food prices: A post-commodity boom perspective," Post-Print hal-03528419, HAL.
    26. Engle, Robert F. & Issler, João Victor, 1993. "Common trends and common cycles in Latin America," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 47(2), April.
    27. Nazlioglu, Saban & Soytas, Ugur, 2012. "Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 34(4), pages 1098-1104.
    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. Jingjing Wang & Xiaoyang Wang & Xiaohua Yu, 2023. "Shocks, cycles and adjustments: The case of China's Hog Market under external shocks," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 703-726, 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. Miljkovic, Dragan & Vatsa, Puneet, 2023. "On the linkages between energy and agricultural commodity prices: A dynamic time warping analysis," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Puneet Vatsa & Dragan Miljkovic, 2022. "Energy and crop price cycles before and after the global financial crisis: A new approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 220-233, February.
    3. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    4. Vatsa, Puneet, 2020. "Comovement amongst the demand for New Zealand tourism," Annals of Tourism Research, Elsevier, vol. 83(C).
    5. Elizabeth C. Wakerly & Byron G. Scott & James M. Nason, 2006. "Common trends and common cycles in Canada: who knew so much has been going on?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(1), pages 320-347, February.
    6. Gutierrez, Carlos Enrique Carrasco & Gomes, Fábio Augusto Reis, 2009. "Evidence on Common Features and Business Cycle Synchronization in Mercosur," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    7. 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.
    8. Cubadda, Gianluca, 1999. "Common Cycles in Seasonal Non-stationary Time Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 273-291, May-June.
    9. repec:fgv:epgewp:736 is not listed on IDEAS
    10. Karel Janda & Ladislav Krištoufek, 2019. "The Relationship Between Fuel and Food Prices: Methods and Outcomes," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 195-216, October.
    11. Vatsa, Puneet & Basnet, Hem C., 2020. "The dynamics of energy prices and the Norwegian economy: A common trends and common cycles analysis," Resources Policy, Elsevier, vol. 68(C).
    12. Osmani Teixeira de Carvalho de Guillén & Carlos Hamilton Vasconcelos Araújo, 2005. "O Mecanismo De Transmissão Da Taxa De Câmbio Para Índices De Preços: Uma Análise Vecm Para O Brasil," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 034, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Chen, Xiaoshan & Mills, Terence C., 2009. "Evaluating growth cycle synchronisation in the EU," Economic Modelling, Elsevier, vol. 26(2), pages 342-351, March.
    14. Gutierrez, Carlos Enrique Carrasco & Souza, Reinaldo Castro & Guillén, Osmani Teixeira de Carvalho, 2009. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    15. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
    16. Carlos Enrique Carrasco Gutierrez & Fábio Augusto Reis Gomes, 2006. "Evidence About Mercosur’S Business Cycle," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 179, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. Sharma, Subhash C. & Wongbangpo, Praphan, 2002. "Long-term trends and cycles in ASEAN stock markets," Review of Financial Economics, Elsevier, vol. 11(4), pages 299-315.
    18. Adom, Assandé Désiré & Sharma, Subhash C. & Morshed, A.K.M. Mahbub, 2010. "Economic integration in Africa," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 245-253, August.
    19. Norman J. Morin, 2006. "Likelihood ratio tests on cointegrating vectors, disequilibrium adjustment vectors, and their orthogonal complements," Finance and Economics Discussion Series 2006-21, Board of Governors of the Federal Reserve System (U.S.).
    20. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.
    21. Subhash C. Sharma & Praphan Wongbangpo, 2002. "Long‐term trends and cycles in ASEAN stock markets," Review of Financial Economics, John Wiley & Sons, vol. 11(4), pages 299-315.

    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:bla:ajarec:v:66:y:2022:i:2:p:363-382. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.