Haitao Mo

Haitao Mo is an Associate Professor in the Finance Academic Area at the University of Kansas School of Business. His research focuses on empirical asset pricing, including mutual fund performance, option pricing, and applications of machine learning in finance. He holds a Ph.D. in Finance from the University of Southern California, an M.S. in Electrical and Computer Engineering from the University of Illinois, and a B.E. in Automation from the University of Science and Technology of China.

Education:

• Ph.D. in Finance, Marshall School of Business, University of Southern California
• M.S. in Electrical and Computer Engineering, University of Illinois, Urbana-Champaign
• B.E. in Automation, University of Science and Technology of China

Research interests emphasize empirical asset pricing, option pricing dynamics, and leveraging big data for financial insights. His work has been published in top journals like the Journal of Finance and presented at conferences such as the SFS Cavalcade North America.

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