Dacheng Xiu

Biography

Dacheng Xiu develops and analyzes statistical and machine-learning methods, applying them to financial data to investigate economic implications. He has contributed to early developments at the intersection of asset pricing and machine learning. His current research emphasizes theory—clarifying when and why modern machine-learning tools work, and delineating their limits. His research has appeared in Econometrica, Journal of Political Economy, Journal of Finance, Review of Financial Studies, Journal of the American Statistical Association, and Annals of Statistics. For an accessible overview of his work, see the curated articles in the Chicago Booth Review.

Xiu serves as a Research Associate at the National Bureau of Economic Research. He currently holds and has previously held several editorial positions, including Co-Editor of Journal of Business & Economic Statistic, Harvard Data Science Review, and Journal of Financial Econometrics, as well as Associate Editor for journals such as Journal of Finance, Review of Financial Studies, Journal of the American Statistical Association, Management Science, and Journal of Econometrics. He has received several recognitions for his research, including Fellow of the American Statistical Association, Fellow of the Society for Financial Econometrics, Fellow of the Journal of Econometrics, Swiss Finance Institute Outstanding Paper Award, AQR Insight Award, Dimensional Fund Advisors Prize, Bates-White Prize, and best paper prizes at various conferences. At Booth, he developed AI Essentials, a core course in the AI concentration of the MBA program, and was recognized as one of Poets & Quants’ Best 40-under-40 Business School Professors.

Xiu earned his PhD and MA in applied mathematics from Princeton University, where he also studied at the Bendheim Center for Finance. Prior to his graduate work, he received a BS in mathematics from the University of Science and Technology of China.

Research Interests

Financial Econometrics, Statistics, Empirical Asset Pricing, and Quantitative Finance.

Academic Areas

• Econometrics and Statistics
• Finance