Biography

I joined HKU in 2021 as an Assistant Professor in the area of Innovation and Information Management of HKU Business School. I am also one of the members of the Statistics Group.

I obtained my PhD in Operations Research and Financial Engineering from Princeton University in 2016, supervised by Prof Jianqing Fan. After graduation, I joined Two Sigma Investments as a quantitative researcher and worked on applying machine learning for equity market forecasting. I also served as a visiting lecturer at Princeton University for Spring 2020. Before PhD, I received my bachelor’s degree in Mathematics and Physics from Tsinghua University in 2011.

My research combines statistics and machine learning methodology with applications in econometrics and financial science. I am particularly interested in the factor structure of the financial market and real-world applications of machine learning.



Research Interests

  • Econometric Factor analysis:
    semi-parametric factor model, robust factor analysis, random matrix theories, risk management.
  • High-dimensional statistical inference:
    large covariance estimation, graphical model inference, high-dimensional testing, variable selection.
  • Robust methodologies:
    elliptical distribution, Kendall’s Tau, Huber loss minimization, quantile regression.
  • Machine learning:
    low-rank recovery, spectral method, reinforcement learning, deep learning inference.
  • Big data applications:
    statistical modeling of genomics, brain imaging, portfolio optimization, equity prediction, high-frequency trading.



Publications and Preprints



Working Papers

  • Deng, Y., Gao, J. and Wang, W. (2025+). On Reference Policy Regulated Multi-period Mean-variance Portfolio Optimization. Working Paper.
  • Deng, Y. and Wang, W. (2025+). Nonlinear Asset Pricing Model with Group Structure. Working Paper.
  • Cai, Z. and Wang, W. (2025+). Identification of Latent Biased Group on Social Platform. Working Paper.
  • Wang, W., Wu, J. and Zhang, Z. (2025+). Semiparametric Tensor Factor Analysis of Global Supply Chains. Working Paper.


Teaching

  • MSBA7032: Quantitative Trading (Spring 2024, 2025 at HKU)
  • IIMT6017: Research Methodologies in Business Analytics (Spring 2022, Fall 2023, 2025 at HKU)
  • MSBA7002: Business Statistics (Fall 2021, 2022, 2023, 2024 at HKU)
  • ORF504: Financial Econometrics (Spring 2020 at Princeton University)


BLAST Lab: Business Learning, Analytics and STatistics

PhD Students

  • Yutao Deng
  • Ziyan Cai
  • Jingren Zhao

Research Assistants

  • Hanzhi Zhang
  • Yiwei Tan
  • Ziyan Cai (now PhD in IIM Business Analytics at HKU)
  • Leda Wang (now PhD in Statistics at Yale University)
  • Xizhuo Wang (now Master of Science in Computational Finance at CMU)