IDEAS home Printed from https://ideas.repec.org/a/ags/revi24/340986.html
   My bibliography  Save this article

The role of transition regime models for corn prices forecasting

Author

Listed:
  • Albuquerquemello, Vinícius Phillipe de
  • Medeiros, Rennan Kertlly de
  • Jesus, Diego Pitta de
  • Oliveira, Felipe Araujo de

Abstract

Given the relevance of corn for food and fuel industries, analysts and scholars are constantly comparing the forecasting accuracy of econometric models. These exercises test not only for the use of new approaches and methods, but also for the addition of fundamental variables linked to the corn market. This paper compares the accuracy of different usual models in financial macro-econometric literature for the period between 1995 and 2017. The main contribution lies in the use of transition regime models, which accommodate structural breaks and perform better for corn price forecasting. The results point out that the best models as those which consider not only the corn market structure, or macroeconomic and financial fundamentals, but also the non-linear trend and transition regimes, such as threshold autoregressive models

Suggested Citation

  • Albuquerquemello, Vinícius Phillipe de & Medeiros, Rennan Kertlly de & Jesus, Diego Pitta de & Oliveira, Felipe Araujo de, 2022. "The role of transition regime models for corn prices forecasting," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 60(2), January.
  • Handle: RePEc:ags:revi24:340986
    DOI: 10.22004/ag.econ.340986
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/340986/files/Vin%C3%ADcius%20Phillipe%20de%20Albuquerquemello.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.340986?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. de Albuquerquemello, Vinícius Phillipe & de Medeiros, Rennan Kertlly & da Nóbrega Besarria, Cássio & Maia, Sinézio Fernandes, 2018. "Forecasting crude oil price: Does exist an optimal econometric model?," Energy, Elsevier, vol. 155(C), pages 578-591.
    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. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    4. K. S. Chan & H. Tong, 1986. "On Estimating Thresholds In Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 7(3), pages 179-190, May.
    5. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014. "Causality and predictability in distribution: The ethanol–food price relation revisited," Energy Economics, Elsevier, vol. 42(C), pages 152-160.
    6. Michael J. Roberts & Wolfram Schlenker, 2009. "World Supply and Demand of Food Commodity Calories," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1235-1242.
    7. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2011. "The Effects of Quantitative Easing on Interest Rates: Channels and Implications for Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(2 (Fall)), pages 215-287.
    8. Winkelried, Diego, 2018. "Unit roots, flexible trends, and the Prebisch-Singer hypothesis," Journal of Development Economics, Elsevier, vol. 132(C), pages 1-17.
    9. Teresa Serra & José M. Gil, 2013. "Price volatility in food markets: can stock building mitigate price fluctuations?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(3), pages 507-528, July.
    10. Trujillo-Barrera, Andres & Mallory, Mindy L. & Garcia, Philip, 2012. "Volatility Spillovers in U.S. Crude Oil, Ethanol, and Corn Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-16, August.
    11. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
    12. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    13. Linwood A. Hoffman & Xiaoli L. Etienne & Scott H. Irwin & Evelyn V. Colino & Jose I. Toasa, 2015. "Forecast performance of WASDE price projections for U.S. corn," Agricultural Economics, International Association of Agricultural Economists, vol. 46(S1), pages 157-171, November.
    14. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    15. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2011. "The Effects of Quantitative Easing on Interest Rates: Channels and Implications for Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 215-287.
    16. Alvim, Augusto Mussi & Waquil, Paulo D., 2005. "Efeitos do acordo entre o Mercosul e a União Européia sobre os mercados de grãos," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 43(4), pages 1-21, December.
    17. Mr. David A Reichsfeld & Mr. Shaun K. Roache, 2011. "Do Commodity Futures Help Forecast Spot Prices?," IMF Working Papers 2011/254, International Monetary Fund.
    18. Mallory, Mindy L. & Irwin, Scott H. & Hayes, Dermot J., 2012. "How Market Efficiency and the Theory of Storage Link Corn and Ethanol Markets Energy Economics," ISU General Staff Papers 201211010700001537, Iowa State University, Department of Economics.
    19. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    20. Winkelried, Diego, 2016. "Piecewise linear trends and cycles in primary commodity prices," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 196-213.
    21. Jayne, Thomas S. & Rashid, Shahidur, 2010. "The Value of Accurate Crop Production Forecasts," Food Security International Development Working Papers 97032, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    22. Rodrigo Mariscal & Andrew Powell, 2014. "Commodity Price Booms and Breaks: Detection, Magnitude and Implications for Developing Countries," Research Department Publications IDB-WP-444, Inter-American Development Bank, Research Department.
    23. Bobenrieth H, Eugenio S A & Bobenrieth H, Juan R A & Wright, Brian D, 2004. "A Model of Supply of Storage," Economic Development and Cultural Change, University of Chicago Press, vol. 52(3), pages 605-616, April.
    24. 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. de Albuquerquemello, Vinícius Phillipe & de Medeiros, Rennan Kertlly & da Nóbrega Besarria, Cássio & Maia, Sinézio Fernandes, 2018. "Forecasting crude oil price: Does exist an optimal econometric model?," Energy, Elsevier, vol. 155(C), pages 578-591.
    2. Kertlly de Medeiros, Rennan & da Nóbrega Besarria, Cássio & Pitta de Jesus, Diego & Phillipe de Albuquerquemello, Vinicius, 2022. "Forecasting oil prices: New approaches," Energy, Elsevier, vol. 238(PC).
    3. Etienne, Xiaoli L., 2015. "Financialization of Agricultural Commodity Markets: Do Financial Data Help to Forecast Agricultural Prices?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205124, Agricultural and Applied Economics Association.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Wohlfarth, Paul, 2018. "Measuring the impact of monetary policy attention on global asset volatility using search data," Economics Letters, Elsevier, vol. 173(C), pages 15-18.
    10. Christiane Baumeister & Reinhard Ellwanger & Lutz Kilian, 2016. "Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?," CESifo Working Paper Series 6282, CESifo.
    11. de la Horra, Luis P. & Perote, Javier & de la Fuente, Gabriel, 2021. "Monetary policy and corporate investment: A panel-data analysis of transmission mechanisms in contexts of high uncertainty," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 609-624.
    12. 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.
    13. Wang, Ling, 2022. "The dynamics of money supply determination under asset purchase programs: A market-based versus a bank-based financial system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    14. Sergio Adriani David & Claudio M. C. Inácio & José A. Tenreiro Machado, 2019. "Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship," Mathematics, MDPI, vol. 7(9), pages 1-25, August.
    15. 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.
    16. Fernandez-Diaz, Jose M. & Morley, Bruce, 2019. "Interdependence among agricultural commodity markets, macroeconomic factors, crude oil and commodity index," Research in International Business and Finance, Elsevier, vol. 47(C), pages 174-194.
    17. 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).
    18. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    19. David Knezevic & Martin Nordström & Pär Österholm, 2021. "The relation between municipal and government bond yields in an era of unconventional monetary policy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(1), February.
    20. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415, January.

    More about this item

    Keywords

    Agricultural Finance;

    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:revi24:340986. 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/inrapfr.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.