IDEAS home Printed from https://ideas.repec.org/p/ukb/wpaper/03-2023.html
   My bibliography  Save this paper

Agricultural Commodity Price Dynamics: Evidence from BVAR Models

Author

Listed:
  • Olga Bondarenko

    (National Bank of Ukraine)

Abstract

Agricultural commodity markets have experienced bouts of significant volatility in recent years, drawing the attention of policymakers all over the world. This paper studies the dynamics of wheat and corn prices since 1999 through the lens of standard BVAR models in the spirit of Kilian (2009) and Kilian and Murphy (2014). I use monthly revisions of the WASDE supply projections to overcome the problem of limited availability of high-frequency data and develop an indicator of aggregate demand for grains, following Baumeister et al. (2020). The estimated elasticities are generally consistent with theory and earlier studies and produce reasonable historical decompositions. Models are helpful in forecasting exercises, including conditional forecasts and alternative scenarios while they perform no better than the random walk in short-term unconditional forecasting.

Suggested Citation

  • Olga Bondarenko, 2023. "Agricultural Commodity Price Dynamics: Evidence from BVAR Models," Working Papers 03/2023, National Bank of Ukraine.
    • Handle: RePEc:ukb:wpaper:03/2023
    as

    Download full text from publisher

    File URL: https://bank.gov.ua/admin_uploads/article/WP_2023-03_Bondarenko.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eugenio Bobenrieth & Brian Wright & Di Zeng, 2013. "Stocks-to-use ratios and prices as indicators of vulnerability to spikes in global cereal markets," Agricultural Economics, International Association of Agricultural Economists, vol. 44(s1), pages 43-52, November.
    2. McPhail, Lihong Lu & Du, Xiaodong & Muhammad, Andrew, 2012. "Disentangling Corn Price Volatility: The Role of Global Demand, Speculation, and Energy," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(3), pages 1-10, August.
    3. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    4. Michael J. Roberts & Wolfram Schlenker, 2013. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," American Economic Review, American Economic Association, vol. 103(6), pages 2265-2295, October.
    Full references (including those not matched with items on IDEAS)

    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. Cao, A.N.Q. & Grosche, S.-C., 2018. "Financial and Commodity-specific expectations in soybean futures markets," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277538, International Association of Agricultural Economists.
    2. Gabriela Simonet & Julie Subervie & Driss Ezzine-De-Blas & Marina Cromberg & Amy Duchelle, 2015. "Paying smallholders not to cut down the amazon forest: impact evaluation of a REDD+ pilot project," Working Papers 1514, Chaire Economie du climat.
    3. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.
    4. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    5. Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2023. "Commodity price uncertainty as a leading indicator of economic activity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4194-4219, October.
    6. Nicolas Legrand, 2019. "The Empirical Merit Of Structural Explanations Of Commodity Price Volatility: Review And Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 639-664, April.
    7. Christophe Gouel & Nicolas Legrand, 2017. "Estimating the Competitive Storage Model with Trending Commodity Prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 744-763, June.
    8. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2013. "Dissecting Corn Price Movements with Directed Acyclic Graphs," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151279, Agricultural and Applied Economics Association.
    9. Colin A. Carter & Gordon C. Rausser & Aaron Smith, 2017. "Commodity Storage and the Market Effects of Biofuel Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 1027-1055.
    10. Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2021. "The interplay between oil and food commodity prices: Has it changed over time?," Journal of International Economics, Elsevier, vol. 133(C).
    11. Catherine Hausman & Ryan Kellogg, 2015. "Welfare and Distributional Implications of Shale Gas," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(1 (Spring), pages 71-139.
    12. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects of Disruptions in Global Food Commodity Markets: Evidence for the United States," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 183-286.
    13. Doga Bilgin & Reinhard Ellwanger, 2019. "The Simple Economics of Global Fuel Consumption," Staff Working Papers 19-35, Bank of Canada.
    14. Ezeaku, Hillary & Asongu, Simplice & Nnanna, Joseph, 2020. "Volatility of International Commodity Prices in Times of Covid-19: Effects of Oil Supply and Global Demand Shocks," MPRA Paper 107544, University Library of Munich, Germany.
    15. Eugenio S.A. Bobenrieth & Juan R.A. Bobenrieth & Ernesto A. Guerra & Brian D. Wright & Di Zeng, 2021. "Putting the Empirical Commodity Storage Model Back on Track: Crucial Implications of a “Negligible” Trend," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1034-1057, May.
    16. Baffes, John & Dennis, Allen, 2013. "Long-term drivers of food prices," Policy Research Working Paper Series 6455, The World Bank.
    17. Juan R. A. Bobenrieth & Eugenio S. A. Bobenrieth & Andrés F. Villegas & Brian D. Wright, 2022. "Estimation of Endogenous Volatility Models with Exponential Trends," Mathematics, MDPI, vol. 10(15), pages 1-27, July.
    18. Ke Tang & Wei Xiong, 2010. "Index Investment and Financialization of Commodities," NBER Working Papers 16385, National Bureau of Economic Research, Inc.
    19. Etienne, Xiaoli, 2015. "Financialization of Agricultural Commodity Markets: Do Financial Data Help to Forecast Agricultural Prices," 2015 Conference, August 9-14, 2015, Milan, Italy 211626, International Association of Agricultural Economists.
    20. Sumudu W. Watugala, 2015. "Economic Uncertainty and Commodity Futures Volatility," Working Papers 15-14, Office of Financial Research, US Department of the Treasury.

    More about this item

    Keywords

    commodity prices; corn; wheat; BVAR models; demand elasticity; supply elasticity; historical decomposition; USDA supply forecasts; WASDE;
    All these keywords.

    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

    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:ukb:wpaper:03/2023. 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: Research Unit (email available below). General contact details of provider: https://edirc.repec.org/data/nbugvua.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.