Assessing the role of weather in commodity price forecasting: evidence from fine durum wheat
This study examines the case of fine durum wheat by comparing Machine Learning and Deep Learning approaches under different feature configurations, with and without meteorological variables, and suggests that the predictive value of weather variables is highly dependent on data granularity and market structure.