Rate My Professor Li Ge

Li Ge is a Senior Lecturer in the Department of Banking and Finance within the Faculty of Business and Economics at Monash University, where she has been appointed since 2015. She earned her PhD in Finance from the University of Hong Kong in 2015 and a BBA (Honours) in Financial Services from the Hong Kong Polytechnic University in 2010. Her research centers on empirical asset pricing, with a particular emphasis on informed trading in the options market. Additional research interests encompass options, empirical corporate finance, mergers and acquisitions, corporate events, corporate governance, behavioural finance, and stock market indexing effects on option market quality.

Li Ge has published in leading finance journals, including the Journal of Financial Economics, Journal of Financial and Quantitative Analysis, and Journal of Banking and Finance. Key publications include 'Why does the option to stock volume ratio predict stock returns?' (Journal of Financial Economics, 2016, co-authored with T.-C. Lin and N. D. Pearson), 'Informational content of options trading on acquirer announcement return' (Journal of Financial and Quantitative Analysis, 2015, co-authored with K. Chan and T.-C. Lin), 'CEO overconfidence and the choice of debt issuance' (Journal of Banking and Finance, 2024, co-authored with T. Jamil and J. Yu), and 'Bond defaults in China: using machine learning to make predictions' (International Review of Finance, 2025, co-authored with B. Cui and P. Grecov). Her scholarship has accumulated over 490 citations on Google Scholar. In 2017, she received the Dean’s Commendation for Excellence in Research from Monash Business School. Currently, she serves as Chief Investigator on the project 'Mapping Green Consumer Finance for Housing Equity in Australia' (2025-2026). Li Ge teaches units including Options, Futures and Risk Management, Corporate Finance and Global Financial Markets, Derivatives, and Empirical Asset Pricing and Investments. She supervises Master of Commerce and PhD students and is open to new PhD supervision.