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This document discusses forecasting the price of corn in the Philippines. It provides background information on corn as the second most abundant crop worldwide. The US is the largest exporter of corn, though exports make up less than 15% of domestic demand. Previous studies on commodity price forecasting are discussed, including models using supply and demand analysis, autoregressive (AR) models, vector autoregressive (VAR) models, and artificial neural networks. While many techniques have been used, accura

Author

Billy

Language

EN