Forecasting Aluminum Futures Prices: A Comparative Evaluation of Classical, Deep Learning and Transformer-based Models
Forecasting commodity prices remains a challenging task due to market volatility, structural breaks, and changing economic conditions. This study evaluates the forecasting performance of classical econometric, deep learning, convolutional, and Transformer-based models for aluminum futures prices. Daily aluminum futures...