Jiaxi Li is a fifth-year PhD in economics at University of North Carolina Chapel Hill. He has research interests in financial econometrics and asset pricing and will possibly be available for interviews for the 2026-2027 job market.
PhD in Economics, 2027 (Expected)
University of North Carolina Chapel Hill
MS in Economics, 2019
The University of Chicago
BA in Economics, BS in Applied Mathematics, Minor in Statistics, 2018
University of North Carolina Chapel Hill
A direct application of Tensor Principal Component Analysis (TPCA introduced by Babii et al. in 2022) of the intraday stock returns does not yield sensible result due to a combination of small sample, strong intraday heteroskedasticity, and large error. This paper proposes a weighted version of TPCA that can potentially mitigate the issue and preserve the asymptotic properties and test implications of the TPCA.
Average instructor rating: 4.5/5
TA: Fall 2016, Fall 2017
TA: Fall 2016
TA: Spring 2019
TA: Fall 2022, Fall 2023
TA: Spring 2023, Fall 2024
TA: Spring 2024
TA: Spring 2025, Spring 2026 (Upcoming)
Lecturer: Fall 2025
Course Material: GitHub Repository