Francesco Sangiorgi is Professor of Finance at Frankfurt School of Finance & Management. Previously, he has been Associate Professor of Finance at the Stockholm School of Economics. He received his Ph.D. in Economics from Universitat Pompeu Fabra in Barcelona and an undergraduate degree in Economics from LUISS University in Rome.

His research focuses on the economics of information as applied to financial markets. His current research explores the intersection of artificial intelligence and financial markets, examining how AI agents-trained through deep reinforcement learning-learn to trade, extract information from prices, and compete in markets with return predictability and price impact.

Francesco’s publications have appeared in top journals including Review of Economic Studies, Journal of Economic Theory, Journal of Financial Economics, Review of Financial Studies, and Management Science.

His teaching interests lie in the domain of asset pricing, and quantitative portfolio management, and valuation.