Artificial Intelligence

Research applying Large Language Models (LLMs) and Machine Learning to financial analysis and prediction.

Working Papers

Working PaperScaling Core Earnings Measurement with Large Language Models
with Matthew Shaffer
Working Paper
PDF
Working PaperWhen LLMs Go Abroad: Foreign Bias in AI Financial Predictions
with Sean Cao and Xiang Yi
Working Paper
HBS Working Paper
Working PaperIs Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
with Srikant Datar, Apurv Jain, and Siyu Zhang
Working Paper
PDF

Publications

PublicationCore Earnings: New Data and Evidence
with Ethan Rouen and Eric C. So
Journal of Financial Economics (2021)

Investigating how non-GAAP earnings data can be systematically improved using scalable technologies.

SSRN

Teaching Cases

HBS Case 118-069New Constructs: Disrupting Fundamental Analysis with Big Data
with Kyle Thomas
Harvard Business School Case
HBS Publishing