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Forecasting Aluminum Futures Prices: A Comparative Evaluation of Classical, Deep Learning and Transformer-based Models - new co-authored article by Tibor Bareith Read more

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Defining daily space use patterns in Hungary: mapping functional catchment areas - new co-authored study by Judit Berkes in Regional Statistics Read more

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‘In Hungary, Everything Is Better’ – Recently Arrived Older German Migrants’ Narratives about Relocating to Rural Hungary - new study by Dóra Gábriel, Krisztina Németh and Monika Váradi Read more

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The strong core of housing markets with partial order preferences - new study by Ildikó Schlotter and Mirabel Mendoza-Cadena has been published in Journal of Mathematical Economics Read more

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Forecasting Aluminum Futures Prices: A Comparative Evaluation of Classical, Deep Learning and Transformer-based Models – new co-authored article by Tibor Bareith

Forecasting Aluminum Futures Prices: A Comparative Evaluation of Classical, Deep Learning and Transformer-based Models László Vancsura, Tibor Tatay, Tibor Bareith, Kornélia Mészáros  Decision Making Advances – Vol. 4 No. 1 (2026) – Published: 2026-08-07 Abstract Forecasting commodity prices remains a challenging task due to market volatility, structural breaks, and changing economic conditions. This study evaluates […]