Dacheng Xiu’s research interests include developing statistical methodologies and applying them to financial data, while exploring their economic implications. His earlier research involved risk measurement and portfolio management with high-frequency data and econometric modeling of derivatives. His current work focuses on developing machine learning solutions to big-data problems in empirical asset pricing.
Xiu’s work has appeared in Econometrica, the Journal of Econometrics, the Journal of the American Statistical Association, the Annals of Statistics, the Journal of Business and Economic Statistics. He is an Associate Editor for the Journal of Econometrics and Statistica Sinica, and also referees for several journals in the fields of econometrics, statistics, and finance. He has received several recognitions for his research, including the 2018 AQR Insight Award, the 2017 fellow of the Journal of Econometrics, the 2017 Dennis J. Aigner Honorable Mention, and the Best Conference Paper Prize at the 2017 Annual Meeting of the European Finance Association.
In 2017, Xiu launched a website that provides up-to-date realized volatilities of individual stocks, as well as equity, currency, and commodity futures. These daily volatilities are calculated from the intraday transactions and the methodologies are based on his research of high-frequency data.
Xiu earned his PhD and MA in applied mathematics from Princeton University, where he was also a researcher at the Bendheim Center for Finance. Prior to his graduate studies, he obtained a BS in mathematics from the University of Science and Technology of China.
2018 - 2019 Course Schedule
||Applied Regression Analysis
||Econometrics and Statistics Colloquium
Skiing, swimming, diving, basketball, and photography
Financial Econometrics, Statistics, Empirical Asset Pricing, and Quantitative Finance