2023年-           金沙990cc大学数智审计研究中心研究员

2021年-至今  金沙990cc大学经管学院 助理教授

Advanced Corporate Finance (Ph.D. 2021 Fall, 2022 Fall)

Advanced Empirical Asset Pricing (Ph.D. 2023 Fall) 

Methodology and Applications of Financial Big Data (Graduate students, 2021-2023 Fall)

Deep Learning and Its Applications in Finance (Undergraduate) 

Machine Learning and Its Applications in Finance (Undergraduate)

Asset Pricing, Empirical Corporate Finance, Machine(Deep, Reinforcement) Learning, Big Data, Network Economics, Macroeconomics, and the Chinese Economy

Papers:

1. "Hierarchical Vintage Sparse PCA. Discussion on the paper by Rohe and Zeng", Journal of the Royal Statistical Society B: Statistical Methodology, 2023, with Jeff Cai, Dan Yang, Linda Zhao

2. Network Regression and Supervised Centrality Estimation, with Jeff Cai, Haipeng Shen, Dan Yang, and Linda Zhao (Reject and Resubmit, Journal of American Statistical Association(JASA))

3. Networks and Business Cycles, with Yucheng Yang

4. The Network Effects of Agency Conflicts, with Rakesh Vohra and Yiqing Xing, Under Review

5. Ownership Network and Firm Growth - What Do Forty Companies Tell Us About the Chinese Economy?  with Frankin Allen, Jeff Cai, Xian Gu, QJ Jun Qian, and Linda Zhao (Best Paper Award in CFRC2021), Under Review
   

6. Centralization or Decentralization - The Evolution of State Ownership in China, with Franklin Allen, Jeff Cai, Xian Gu, QJ Jun Qian, Linda Zhao (Best Paper Award in CICF2021)

7. Link Complexity of Networks and Cross-Predictability, Finalist of Best Paper in Financial Management Association 2020 (US), Under Review

8. Tiered Intermediation in Business Groups, with Robert Townsend and Yu Shi, Finalists of Best Ph.D. Paper in MFA 2020, Under Review

9. Idiosyncratic v.s. Common Shock - A unified Framework, with Jeff Cai, Linda Zhao

10. Automation-Induced Innovation Shift, with Yao Lu and Yiwen Lu. 

11. MNL with Poisson Arrivals for Joint Assortment, Pricing, and Optimal Algorithm (with Ran Chen, Jeff Cai, Qitao Huang, Linda Zhao, INFORMS 2023)

12. A Tale of Two Networks: Investments Like China (In Progress, the draft is available)

13. Pricing Carbon-Emission Risk in Production Networks (In Progress, come out soon)

14. High-Dimensional Reinforcement Learning (In Progress)

Book Chapters:

    1. State Ownership in China: An Equity Network Perspective (to appear), "The Arc of the Chinese Economy", the University of Pennsylvania, 2023, with Jeff Cai, Xian Gu, Linda Zhao. edited by, Hanming Fang and Marshall W. Mayer

Media Coverages:

    1. "Tiered Intermediation in Business Groups", with Robert Townsend and Yu Shi, (VoxChina)

    2. "Centralization or Decentralization - the Evolution of State Ownership in China", with Franklin Allen, Jeff Cai, Xian Gu, Jun Qian (QJ), Linda Zhao (VoxChina)

2022  金沙990cc大学经管学院学生工作优秀奖(一等奖)

2021 金沙990cc大学经管学院学生工作优秀奖(二等奖)

2021 XiYue Best Paper Award in CICF (China International Conference in Finance)

2021 Best Paper Award in CFRC (China Finance Research Conference)

2020 Finalist of Best Ph.D. Paper Award in Middlewest Financial Association (MFA)

2020 Finalist of Best Paper in Investment (Financial Management Association, US)

To students who are interested in my research,

I hope the following helps you understand my current research interest and agenda

My general goal is to understand both theoretically and empirically how the links between firms, financial, physical, and technological, affect corporate behaviors, portfolio management, business cycles, and systemic risk, using microdata (usually huge data) to back up the macro story.

I am also extremely interested in the general application of machine learning, deep learning, and Reinforcement Learning in economics and finance (my current research focus). I have several parallel projects on this topic and am happy to communicate with students with super-strong backgrounds in Mathematics, Computer Science, or Statistics. Out of my academic interest, my coauthors span various disciplines from Finance and economics to Mathematics, Statistics, and Computer Science.

- I am also an expert in big data and especially interested in using huge datasets to reveal a microchannel to support a vivid macro picture.

My work to date can be divided into three parts.

1. The first, focuses on the financial linkages created by the equity-holding relationships and their implications for corporate finance, governance, and monetary policy in China. 

2. The second, focuses on the linkages by which technological innovation spreads between firms and its implication for business cycles, asset pricing, and investor behaviors.

3. The third, focuses on the application of statistic learning and deep learning techniques in portfolio or asset management. I organize several regular meetings with my coauthors from various fields like finance, statistics, and computer science. 

4. I am more insterested in working with students who are persistence and enthusastic with topics.