Li, Gang(李罡)
BSc (RUC); MBA (Fordham); PhD (University of Toronto); CFA
Assistant Professor
Contact Room 1248, 12/FCheng Yu Tung Building
12 Chak Cheung Street
Shatin, N.T., Hong Kong
+852 3943 1914
gang.li@cuhk.edu.hk
Biography
Professor Gang Li is an Assistant Professor of Finance at The Chinese University of Hong Kong (CUHK). He received his PhD in Finance from University of Toronto, MBA from Fordham University, and BSc in Statistics from Renmin University of China. His research focuses on asset pricing, financial derivatives, FinTech, and investment. He has presented his research at numerous academic conferences and published in Management Science. Before joining CUHK, he worked for a global macro hedge fund in the United States and an asset management firm in China. Professor Li is a CFA charterholder and a member of CFA Society Hong Kong. He also serves as an ordinary member for Hong Kong Securities and Investment Institute (HKSI).
Teaching Areas
FinTech
Financial Management
Research Interests
Asset Pricing
Financial Derivatives
Machine Learning
Investment
FinTech
- Publications & Working Papers
Publication
- Bing Han and Gang Li (2020), “Information Content of Aggregate Implied Volatility Spread,” Management Science, 67(2), 1249-1269.
- Yoontae Jeon, Raymond Kan, and Gang Li (2024), “Stock Return Autocorrelations and Expected Option Returns,” Management Science, forthcoming.
Working Papers
- Jie Cao, Gang Li, Russell Wermers, Xintong Zhan, and Linyu Zhou (2023), “Do Insurers Listen to Earnings Conference Calls? Evidence from the Corporate Bond Market.”
- Jie Cao, Bing Han, Gang Li, Ruijing Yang, and Xintong Zhan (2022), “Forecasting Option Returns with News.”
- Jie Cao, Gang Li, Xintong Zhan, and Guofu Zhou (2022), “Betting Against the Crowd: Option Trading and Market Risk Premium.”
- Bing Han and Gang Li (2020), “Idiosyncratic Volatility and the Intertemporal Capital Asset Pricing Model.”
- Grants
- “Social Responsibility Performance and Option Market”, awarder by National Natural Science Foundation of China General Project with CNY 450,000, 2023 (Co-Principal Investigator)
- “Deep Learning and Option Return Prediction”, awarder by Project Impact Enhancement Fund with HKD 200,000, 2021 (Principal Investigator)
- Awards & Honours
- Best Paper Award from the 6th China Derivatives Youth Forum (2023)
- Best Paper Award from the Asia-Pacific Association of Derivatives (2019)
- Outstanding Paper Award from China International Forum on Finance and Policy (2018)