معرفی
Prof. Tibor Neugebauer is a Full Professor of Finance at the University of Luxembourg’s Faculty of Law, Economics and Finance (FDEF), Department of Finance. He holds a Doctorate in Economics from the University of Valencia (2000) and professional qualifications from Hannover, with prior academic positions at institutions including York, Kiel, Hannover, and research stays at Lisbon, Bari, Valencia, and Rome. His research focuses on Experimental Finance and Economics, particularly behavioral finance, asset markets, auctions, and decision-making under uncertainty. He designs laboratory experiments to analyze markets, strategic interactions, and algorithm-human dynamics, with recent emphasis on algorithmic trading and market regulations.
Education:
- Doctor of Economics, University of Valencia (2000)
- Master of Science in Economics, University of Alicante (1997)
- Bachelor’s in Economics, University of Bonn (1994)
- Professional Qualification in Economics, University of Hannover (2006)
Research Interests: Prof. Neugebauer’s work examines institutional and informational structures’ impact on market outcomes, including fairness in co-determination, communication effects in asset markets, and algorithmic arbitrage. His experiments explore human behavior in complex environments, such as speculative asset trading and regulatory interventions. He has pioneered studies on algorithmic trading’s role in experimental markets, combining theoretical models with empirical behavioral insights.
Key Contributions: His research addresses topics like margin trading regulations, Modigliani-Miller theorem validity in experimental settings, and the ‘greater fool’ phenomenon. Recent studies emphasize algorithmic-human interaction dynamics, market efficiency under varying mechanisms, and the implications of wash trading.
Awards & Grants: No specific awards listed, but his extensive publication record reflects sustained recognition in experimental finance. Grants and collaborations likely relate to his research on market design and behavioral finance.
Labs/Teams: Active in the FDEF’s finance research group, contributing to Luxembourg’s international reputation in experimental economics and finance. Collaborates with global institutions on algorithmic trading and market dynamics.
