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Forecasting food prices: The case of corn, soybeans and wheat

Citations

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Cited by:

  1. Wuyue An & Lin Wang & Yu‐Rong Zeng, 2023. "Text‐based soybean futures price forecasting: A two‐stage deep learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 312-330, March.
  2. Hedi Ben Haddad & Imed Mezghani & Abdessalem Gouider, 2021. "The Dynamic Spillover Effects of Macroeconomic and Financial Uncertainty on Commodity Markets Uncertainties," Economies, MDPI, vol. 9(2), pages 1-22, June.
  3. Jesus Crespo Cuaresma & Ines Fortin & Jaroslava Hlouskova & Michael Obersteiner, 2024. "Regime‐dependent commodity price dynamics: A predictive analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2822-2847, November.
  4. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
  5. Boxuan Li & Meng Niu & Jing Zhao & Xi Zheng & Ran Chen & Xiao Ling & Jinxin Li & Yuxiao Wang, 2023. "Agricultural Cultivation Structure in Arid Areas Based on Water–Carbon Nexus—Taking the Middle Reaches of the Heihe River as an Example," Land, MDPI, vol. 12(7), pages 1-18, July.
  6. Das, Narasingha & Tanin, Tauhidul Islam & Gangopadhyay, Partha & Abbas, Qaiser & Akadiri, Seyi Saint & Janjua, Laeeq Razzak, 2025. "Quantile VAR connectedness and price spillovers between soybean and energy," Energy Economics, Elsevier, vol. 149(C).
  7. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.
  8. Rui Luo & Jinpei Liu & Piao Wang & Zhifu Tao & Huayou Chen, 2024. "A multisource data‐driven combined forecasting model based on internet search keyword screening method for interval soybean futures price," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 366-390, March.
  9. Mathias Schneid Tessmann & Carlos Enrique Carrasco-Gutierrez & Alexandre Vasconcelos Lima, 2023. "Determinants of Corn and Soybean Futures Prices Traded on the Brazilian Stock Exchange: An ARDL Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 15(1), pages 1-65, January.
  10. Yi, Zelong & Liang, Zhuomin & Xie, Tongtong & Fu, Yelin & Liu, Yun, 2026. "Unveiling dynamics in agricultural supply chain : A transformer-enhanced framework for commodity price modeling," International Journal of Production Economics, Elsevier, vol. 294(C).
  11. Mei, Dexiang & Xie, Yutang, 2022. "U.S. grain commodity futures price volatility: Does trade policy uncertainty matter?," Finance Research Letters, Elsevier, vol. 48(C).
  12. Fernando Dupin da Cunha Mello & Prashant Kumar & Erick G. Sperandio Nascimento, 2024. "Advancements in Soybean Price Forecasting: Impact of AI and Critical Research Gaps in Global Markets," Economies, MDPI, vol. 12(11), pages 1-24, November.
  13. Dinggao Liu & Zhenpeng Tang & Yi Cai, 2022. "A Hybrid Model for China’s Soybean Spot Price Prediction by Integrating CEEMDAN with Fuzzy Entropy Clustering and CNN-GRU-Attention," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
  14. 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.
  15. Merve Kılınç Yılmaz & Yusuf Şahin & Kenan Oğuzhan Oruç, 2024. "Price Forecasting of Feed Raw Materials Used in Dairy Farming: A Methodological Comparison," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 12(3), pages 249-280, December.
  16. Iuga, Iulia Cristina & Mudakkar, Syeda Rabab & Dragolea, Larisa Loredana, 2024. "Agricultural commodities market reaction to COVID-19," Research in International Business and Finance, Elsevier, vol. 69(C).
  17. Liu, Guangqiang & Luo, Keyu & Xu, Pengfei & Zhang, Simeng, 2023. "Climate policy uncertainty and its impact on major grain futures," Finance Research Letters, Elsevier, vol. 58(PB).
  18. Jesus Crespo Cuaresma & Jaroslava Hlouskova & Michael Obersteiner, 2021. "Agricultural commodity price dynamics and their determinants: A comprehensive econometric approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1245-1273, November.
  19. Liwen Ling & Dabin Zhang & Shanying Chen & Amin W. Mugera, 2020. "Can online search data improve the forecast accuracy of pork price in China?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 671-686, July.
  20. Andree,Bo Pieter Johannes, 2021. "Estimating Food Price Inflation from Partial Surveys," Policy Research Working Paper Series 9886, The World Bank.
  21. Lorenzo Menculini & Andrea Marini & Massimiliano Proietti & Alberto Garinei & Alessio Bozza & Cecilia Moretti & Marcello Marconi, 2021. "Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices," Forecasting, MDPI, vol. 3(3), pages 1-19, September.
  22. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
  23. Rotem Zelingher & David Makowski, 2022. "Forecasting Global Maize Prices From Regional Productions [Prévision des prix mondiaux du maïs à partir des productions régionales]," Post-Print hal-03764942, HAL.
  24. Binrong Wu & Zhongrui Wang & Lin Wang, 2024. "Interpretable corn future price forecasting with multivariate time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1575-1594, August.
  25. Su, Yuandong & Liang, Chao & Zhang, Li & Zeng, Qing, 2022. "Uncover the response of the U.S grain commodity market on El Niño–Southern Oscillation," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 98-112.
  26. Shahnoushi, Naser & Sayed, Saghaian & Hezareh, Reza & Tirgari Seraji, Mohammad, "undated". "Investigation of Relationship Between World Food Prices and Energy Price: A Panel SUR Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252782, Southern Agricultural Economics Association.
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