A hybrid commodity price‐forecasting model applied to the sugar–alcohol sector
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Cited by:
- Julio Alonso Cifuentes & Andrés Arcila Vásquez, 2012. "Un modelo de predicciones diarias para contratos de futuros de azúcar," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 6(2), pages 33-51, December.
- Tao XIONG & Chongguang LI & Yukun BAO, 2017. "An improved EEMD-based hybrid approach for the short-term forecasting of hog price in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(3), pages 136-148.
- Yongtong Shao & Tao Xiong & Minghao Li & Dermot Hayes & Wendong Zhang & Wei Xie, 2021.
"China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach,"
American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1082-1098, May.
- Yongtong Shao & Minghao Li & Dermot J. Hayes & Wendong Zhang & Tao Xiong & Wei Xie, 2020. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," Center for Agricultural and Rural Development (CARD) Publications 20-wp607, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Shao, Yongtong & Xiong, Tao & Li, Minghao & Hayes, Dermot & Zhang, Wendong & Xie, Wei, 2020. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," ISU General Staff Papers 202001010800001619, Iowa State University, Department of Economics.
- Kazi Abrar Hossain & Syed Abul Basher & A.K. Enamul Haque, 2018.
"Quantifying the impact of Ramadan on global raw sugar prices,"
International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 11(4), pages 510-528, June.
- Kazi Abrar, Hossain & Syed Abul, Basher & A.K. Enamul, Haque, 2017. "Quantifying the impact of Ramadan on global raw sugar prices," MPRA Paper 75941, University Library of Munich, Germany.
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