Skip to main content

Biography

Dr. Li holds Canada Research Chair in Corporate Governance and W. Maurice Young Endowed Chair in Finance at the UBC Sauder School of Business, University of British Columbia. She was also Senior Associate Dean, Equity and Diversity between 2016-2021.

 

Dr. Li’s research focuses on the economic consequences of corporate governance mechanisms. Her current research projects explore: (1) human capital and technological synergies in mergers and acquisitions, (2) machine learning in finance, and (3) rent extraction in the syndicated loans market. Her research has appeared in Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Journal of Financial and Quantitative Analysis, Management Science, Journal of International Business Studies, and many other leading journals in Finance and Economics. She is the recipient of the UBC Killam Research Award, the Sauder School of Business Research Excellence Award (both junior and senior categories), and the Barclays Global Investors Canada Research Award, a Senior Fellow of the Asian Bureau of Finance and Economic Research, a Research Member of the European Corporate Governance Institute, and a Research Fellow of the FinTech at Cornell Initiative. She is on the Editorial Board of Review of Financial Studies, Journal of Financial and Quantitative Analysis, Journal of International Business Studies, Journal of Financial Stability, and Pacific-Basin Finance Journal. She has also served on the Editorial Board of Review of Finance, Management Science, Journal of Corporate Finance, Journal of Banking and Finance, and Financial Management. Her research has been featured in Wall Street Journal, New York Times, Washington Post, Financial Times, The Time Magazine, Reuters, CNBC, Bloomberg, Dow Jones Newswire, New Yorker, BBC, BNN, CBC National, CTV National News, National Post, Globe and Mail, U.S. News & World Report, Harvard Business Review, and Yahoo! Finance.

 

 

Research Interests

corporate governance, mergers and acquisitions, corporate innovation, machine learning, corporate culture, national culture

Working Papers

Scroll to Top