TEACHING AND RESEARCH AREAS

• Teaching Courses: Financial Technology, Investments

• Research Interests: Financial Technology, Investment Management, Machine Learning

ACADEMIC EXPERIENCE

• Professor of Finance, Wuhan University, November 2018 – Now

• Associate Professor of Finance, Wuhan University, December 2013 – November 2018

• Research Fellow & Research Assistant of Accounting, Nanyang Technological University, March 2013 - December 2013

SELECTED PUBLICATIONS

Journal Papers

• Bin Li, Alberto Rossi, Xuemin Yan, and Lingling Zheng. “Real-time Machine Learning in the Cross-Section of Stock Returns.” Journal of Financial Economics, 2025.

• Yang Bao, Bin Ke, Bin Li, Julia Yu, and Jie Zhang. “Detecting Accounting Frauds in Publicly Traded US Firms Using a Machine Learning Approach”, Journal of Accounting Research, forthcoming.

• Xueyong Tu and Bin Li. "Online Portfolio Selection with Parameterized Characteristics." Journal of Accounting Literature, 2024, forthcoming.

• Xueyong Tu and Bin Li. "Online Portfolio Selection with Parameterized Characteristics." Journal of Accounting Literature, 2024, forthcoming.

• Bin Li, Yinru Lei, and Jian Wang. “Fed Monetary Policy Spillovers, Central Bank Expectation Management and Chinese Asset Prices”. The Journal of World Economy, 2024, (1), 57-85.

• Bin Li, and Xueyong Tu. “Research on portfolio selection based on machine learning and asset characteristics”. Systems Engineering – Theory & Practice, 2024, 44(1), 338-349.

• Bin Li, and Zhen Long. “Return Predictability in the Chinese Stock Markets: A Machine Learning Perspective”. Journal of Management Science in China, 2023, 26(10), 138-158.

• Bin Li, and Yinru Lei. “Do Mutual Funds Exploit Stock Market Anomalies in China”. Journal of Financial Research, 2022, (9), 188-206.

• Bin Li, Cheng Sun, and Yang Zhou. “The Cross-Section of Chinese Commodity Futures Return.” Journal of Management Science and Engineering, 2021, 6(2), 146-164.

• Bin Li, Xinyue Shao, and Yueyang Li. “Research on Machine Learning Driven Quantamental Investing”. China Industrial Economics, 2019, (8), 61-79.

• Bin Li, Di Zhang, and Songhui Tang. “Universal Portfolio Selection Strategy based on Sug-Gradient Projection”. Journal of Management Science in China, 2018, 21(3), 94-104.

• Bin Li, Yan Lin, and Wenxuan Tang. “ML-TEA: A Set of Quantitative Investment Algorithms based on Machine Learning and Technical Analysis”. Systems Engineering – Theory & Practice, 2017, 37(5), 1089-1100.

• Bin Li, Di Zhang, and Yang Zhou. “Do Trend Following Strategies Work in Chinese Futures Markets?”. Journal of Futures Markets, 2017, 37(12): 1226-1254.

• Bin Li, Doyen Sahoo, and Steven Hoi. “OLPS: A Toolbox for On-Line Portfolio Selection.” Journal of Machine Learning Research, 2016, 17, 1-5.

• Bin Li, Steven Hoi, Doyen Sahoo, and Zhiyong Liu. “Moving Average Reversion Strategy for On-Line Portfolio Selection”. Artificial Intelligence, 2015, 222, 104 – 123. (ICML 2012)

• Bin Li and Steven Hoi. “Online Portfolio Selection: A Survey”. ACM Computing Surveys, 2014, 36(3), 35:1-35:36.

• Bin Li, Steven Hoi, Peilin Zhao, and V. Gopalkrishnan. “Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection.” ACM Transactions on Knowledge Discovery from Data, 2013, 7(1), 4:1-4:38. (AISTATS 2011)

• Bin Li, Peilin Zhao, Steven Hoi, and V. Gopalkrishnan. “PAMR: Passive Aggressive Mean Reversion Strategy for Portfolio Selection.” Machine Learning, 2012, 87(2), 221-258.

• Bin Li, Steven Hoi, and V. Gopalkrishnan. “CORN: Correlation-driven Nonparametric Learning Approach for Portfolio Selection,” with. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3), 21:1-21:29.

Books

• Bin Li and Steven C.H. Hoi. Online Portfolio Selection: Principles and Algorithms. CRC Press, Taylor & Francis Group, 2015.

RESEARCH GRANTS

Government-funded grants

 “Research on Deep Learning-driven Quantamental Investing”, NSFC, 2020-2023, PI.

 “A study of portfolio algorithmic trading based on online machine learning”, NSFC, 2015-2017, PI.

 “Research on machine learning-based algorithmic trading system”, SRC, ROCS, SEM, 2015-2016, PI.

“Big data-driven investment management”, Academic Team Building Plan for Young Scholars from Wuhan University, 2017-2019, PI.

AWARDS AND HONORS

“Luojia Young Scholar”, Wuhan University, 2015

 “Chutian Young Scholar”, Hubei MOE, 2014

MEMBERSHIPS, CERTIFICATIONS

CFA Level III (passed)

National “Software Engineer”