Education

Sep. 2013 – Jul. 2018   Peking University, Ph.D. in Economics.

Sep. 2009 – Jul. 2013   Nankai University, B.S. in Mathematics.

Work Experience

Sep. 2020 – present      Business School, Renmin University of China (Assistant Professor)

Aug. 2018 – Jul. 2020    Bendheim Center for Finance, Princeton University (Postdoctoral Research Associate)

Financial econometrics, Asset pricing

Asset pricing, Financial derivatives, Academic standards and scientific writing

Selected Academic Articles

1. Yacine Aït-Sahalia, Chenxu Li, and Chen Xu Li. Implied stochastic volatility models. The Review of Financial Studies, 2021, 34(1), 394-450. 

2. Yacine Aït-Sahalia, Chenxu Li, and Chen Xu Li. Closed-form implied volatility surfaces for stochastic volatility models with jumps. Journal of Econometrics, 2021, 222(1): 364-392.

3. Yacine Aït-Sahalia, Chenxu Li, and Chen Xu Li. Maximum likelihood estimation of latent Markov models using closed-form approximations. Journal of Econometrics, 2021, forthcoming.

Selected Presentations at Academic Meetings

1. 2020/09    Financial Math Seminar (Online, Princeton University)

2. 2018/06   2018 International Symposium on Financial Engineering and Risk Management

(Shanghai, China)

3. 2018/05   The 11th China-R Conference (Beijing, China)

4. 2018/05   The 3rd PKU-NUS Annual International on Quantitative Finance and Economics

(Beijing, China)

5. 2017/05   2017 BCF-QUT-SJTU-SMU Conference on Financial Econometrics (Princeton, USA)

6. 2017/03   2017 Stanford-Tsinghua-PKU Conference in Quantitative Finance (Beijing, China)

7. 2016/12   The 10th ICSA International Conference (Shanghai, China)

Competitive Research Grants

National Natural Science Foundation of China, Research on the impact and mechanism of news on high-frequency trading (No. 72203221). 2023/01-2025/12

Honors and Awards

2021  Excellent Researcher, Renmin Business School

2020  Excellent Young Researcher, Renmin University of China

Project

National Natural Science Foundation of China, Research on the impact and mechanism of news on high-frequency trading (No. 72203221). 2023/01-2025/12