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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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Book chapters by Zoltán Elekes and Balázs Lengyel in Handbook of Labour Mobility

The new Handbook of Labour Mobility, edited by Rikard Eriksson and Høgni Kalsø Hansen, evaluates how labour mobility in different forms can help us understand processes of uneven regional development. It examines the motivations and restrictions of labour mobility, including how its patterns can influence firm performance, innovative capacity, and long-term regional development. Publisher: Edward […]

Beyond Forecast Accuracy: Evaluating the Error–Profit Paradox in AI-Based Copper Price Prediction – new co-authored study by Tibor Bareith in Machine Learning and Knowledge Extraction journal

Beyond Forecast Accuracy: Evaluating the Error–Profit Paradox in AI-Based Copper Price Prediction by László Vancsura,Tibor Tatay and Tibor Bareith Machine Learning and Knowledge Extraction , Volume 8, Issue 7 (July 2026) – Published: 15 July 2026 Abstract Copper is a strategically important commodity whose price dynamics are increasingly affected by structural changes, geopolitical shocks, and […]