• Ph.D., Illinois Institute of Technology, 2017
  • M.S., University of Dayton, 2011
  • B.Eng., North China Electric Power University, 2009


  • Applied Artificial Intelligence for Business
  • Business Analytics
  • Business Intelligence
  • Operations Management

Research Interests

  • Empirical Asset Pricing
  • Financial Derivatives
  • Energy Economics


Jialin (Jolene) Zhao is Associate Professor of Quantitative Management at the Greehey School of Business at St. Mary’s University. She graduated with a master’s degree in Financial Mathematics from University of Dayton and a Ph.D. in Management Science from Illinois Institute of Technology. Zhao is interested in teaching quantitative analytics, investment, risk management and financial programming. Before joining St. Mary’s University, she taught courses such as Computing Tools for Business Analysis and Financial Modeling Lab at Illinois Institute of Technology. Zhao also served as a research fellow at Pacific Northwest Energy Consultants between 2015-2017.

Zhao’s research interest lies primarily in the field of financial derivatives and risk management, especially in the context of energy markets. Issues ranging from the pricing of exotic options to the simulation of risk factors have constituted her previous publications. Going forward, Zhao is interested in exploring quantitative analytics, empirical asset pricing and energy economics.

In her spare time, Zhao enjoys traveling with her husband around the world.


Xie, Y., Kang, S. B., Zhao, J. (2021). Are Stablecoins Safe Havens for Traditional Cryptocurrencies? An Empirical Study during the COVID-19 Pandemic. Applied Finance Letters, 10, 2-9.

Díaz, V., Ibrushi, D., Zhao, J. (2021). Reconsidering Systematic Factor during the COVID-19 Pandemic – The Rising Importance of ESG. Finance Research Letters, 38, 101870.

Zhao, J., Kang, S. B., Ong, M. (2019). A New Approach to Evaluate the Cost-Efficiency of Complex Hedging Strategies: Application to Electricity Price-Volume Quanto Contracts. Journal of Energy Markets, 12(3).

Zhao, J., Kang, S. B., Klein, M. T. (2019). Pricing Fast-Responding Electric Storage Assets in the Presence of Negative Prices and Price Spikes: A Simulation-and-Regression Approach. Journal of Energy Markets, 12(1).

Zhao, J., Kang, S. B. (2017). An Analytic Hedging Model of Energy Quanto Contracts. Theoretical Economics Letters, 7(4).

Zhao, J., Kang, S. B. (2015). Co-Simulation of Risk Factors in Power Markets. Energy Risk, 6(2).

Zhao, J., Liu, R.H. (2013). A lattice method for option pricing with two underlying assets in the regime-switching model. Journal of Computational and Applied Mathematics, 250.


PRMIA Higher Standard Risk Management Scholarship, Bank of England, 2013

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