Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat
Year of publication: |
2022
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Authors: | Xu, Xiaojie ; Zhang, Yun |
Published in: |
Intelligent systems in accounting, finance & management. - New York, NY [u.a.] : Wiley, ISSN 2160-0074, ZDB-ID 2379344-2. - Vol. 29.2022, 3, p. 169-181
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Subject: | Agricultural commodity | Commodity price | Neural network machine learning | Price forecasting | Time series | Sojabohne | Soybean | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Rohstoffpreis | Prognose | Forecast | Rohstoffderivat | Commodity derivative | Zeitreihenanalyse | Time series analysis | Ölpreis | Oil price | Mais | Maize | Agrarpreis | Agricultural price | Preis | Price |
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