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·May 5, 2026

Automation, Learning, and Career Dynamics

Hassan Afrouzi, Andres Blanco, Andrés Drenik, and Erik Hurst
Topics: Technology & Innovation
BFI Working Paper·May 5, 2026

Technology Adoption and Optimal Policy

Fernando Alvarez, Francisco J. Buera, and Nicholas Trachter
Topics: Technology & Innovation
BFI Working Paper·Apr 27, 2026

Why Bans Fail: Tipping Points and Australia’s Social Media Ban

Leonardo Bursztyn, Angela Duckworth, Rafael Jiménez-Durán, Aaron Leonard, Filip Milojević, Christopher Roth, and Cass R. Sunstein
Topics: Technology & Innovation