Tibor Neugebauer

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About

Tibor Neugebauer is a leading experimental economist whose research explores the intersection of financial markets, behavioral biases, and market microstructure. His most influential work investigates the role of algorithmic trading and arbitrage bots in experimental asset markets, shedding light on how automated strategies affect price efficiency, liquidity, and market stability. In his highly cited 2022 paper, “Arbitrage Bots in Experimental Asset Markets” (16 citations), Neugebauer demonstrates that even simple arbitrage algorithms can significantly reduce mispricing and enhance market integration, yet may also introduce new forms of strategic manipulation. This work has profound implications for understanding high-frequency trading and regulatory design in real-world financial systems. Beyond this, his broader research portfolio examines topics such as speculation, bubbles, and the impact of institutional rules on trader behavior, often using controlled laboratory experiments to isolate causal mechanisms. Neugebauer’s contributions have been recognized through publications in top field journals and invitations to present at leading conferences. For students and researchers, his work offers a rigorous, empirically grounded framework for analyzing how technology reshapes market dynamics—and why experimental methods are essential for testing theories before they are applied in practice.