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Forecast performance of WASDE price projections for U.S. corn

Author

Listed:
  • Linwood A. Hoffman
  • Xiaoli L. Etienne
  • Scott H. Irwin
  • Evelyn V. Colino
  • Jose I. Toasa

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:agecon:v:46:y:2015:i:s1:p:157-171
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    File URL: http://hdl.handle.net/10.1111/agec.2015.46.issue-S1
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    Citations

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    Cited by:

    1. Arnade, Carlos Anthony & Hoffman, Linwood A., 2020. "The Impact of Public Information on Commodity Market Performance : The Response of Corn Futures to USDA Corn Production Forecasts," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304181, Agricultural and Applied Economics Association.
    2. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    3. Xiaokang Hou & Shah Fahad & Peipei Zhao & Beibei Yan & Tianjun Liu, 2022. "The Trilogy of the Chinese Apple Futures Market: Price Discovery, Risk-Hedging and Cointegration," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    4. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.
    5. Etienne, Xiaoli L. & Farhangdoost, Sara & Hoffman, Linwood A. & Adam, Brian D., 2023. "Forecasting the U.S. season-average farm price of corn: Derivation of an alternative futures-based forecasting model," Journal of Commodity Markets, Elsevier, vol. 30(C).
    6. Paolo Libenzio Brignoli & Alessandro Varacca & Cornelis Gardebroek & Paolo Sckokai, 2024. "Machine learning to predict grains futures prices," Agricultural Economics, International Association of Agricultural Economists, vol. 55(3), pages 479-497, May.
    7. Adjemian, Michael K. & Bruno, Valentina G. & Robe, Michel A., 2016. "Forward‐Looking USDA Price Forecasts," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235931, Agricultural and Applied Economics Association.
    8. Troy G. Schmitz, 2018. "Impact of the 2014 Suspension Agreement on sugar between the United States and Mexico," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 55-69, January.
    9. Xiaojie Xu, 2017. "Short-run price forecast performance of individual and composite models for 496 corn cash markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2593-2620, October.
    10. Irina Pilvere & Aleksejs Nipers & Agnese Krievina & Ilze Upite & Daniels Kotovs, 2022. "LASAM Model: An Important Tool in the Decision Support System for Policymakers and Farmers," Agriculture, MDPI, vol. 12(5), pages 1-26, May.
    11. 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.
    12. Tianyang Zhang & Ziran Li, 2022. "Can a rational expectation storage model explain the USDA ending grain stocks forecast errors?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 313-337, March.

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