We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and machine learners seeking interesting financial contexts where advanced methods may be deployed.

More on this topic

BFI Working Paper·Jul 15, 2026

Supply and Demand with Market Heterogeneity

Ingvil Gaarder, Lancelot Henry de Frahan, Magne Mogstad, Alexander Torgovitsky, and Oscar Volpe
Topics: Financial Markets
BFI Working Paper·Jul 15, 2026

Assessing the Benefits of Optimized Agentic AI Systems for Asset Pricing

Ralph Koijen and Bradford Levy
Topics: Technology & Innovation
BFI Working Paper·Jun 23, 2026

Can Online Activity Be Regulated? Evidence from Adult Websites

Matthew Brown, Emily J. Davis, and Devin Pope
Topics: Technology & Innovation