Open access
Aug 2026
Forecasting Aluminum Futures Prices: A Comparative Evaluation of Classical, Deep Learning and Transformer-based Models
This study evaluates the forecasting performance of classical econometric, deep learning, convolutional, and Transformer-based models for aluminum futures prices to demonstrate that parsimonious forecasting approaches can remain effective competitors to substantially more complex machine learning architectures in alumi...
László Vancsura, Tibor Tatay, Tibor Bareith et al.
· Decision Making Advances · 0 citations