Peter Bossaerts

Papers

Total Citations

H-Index

About

Peter Bossaerts is a pioneering figure in experimental finance and neuroeconomics, whose work bridges the gap between human decision-making and automated trading systems. His research primarily explores how individuals interact with algorithms in financial markets, investigating the cognitive and behavioral factors that influence trading performance. Bossaerts’ most cited work, "Humans in Charge of Trading Robots: The First Experiment" (2020, 14 citations), introduces a groundbreaking experimental framework where participants can deploy or halt automated trading robots while also trading manually. This study reveals critical insights into the dynamics of human-robot collaboration, showing that flexibility in robot control—such as the ability to halt or replace algorithms—significantly impacts market outcomes and trader behavior. His contributions have profound implications for the design of financial systems, risk management, and regulatory policies in an era of increasing automation. Bossaerts’ work is widely recognized for its interdisciplinary approach, combining economics, neuroscience, and computer science, and has influenced both academic research and practical applications in algorithmic trading. His experiments continue to shape our understanding of how humans and machines can coexist in complex financial environments.