
Makes every class a rewarding experience.
Brings enthusiasm and expertise to class.
Inspires students to reach new heights.
Creates a collaborative and inclusive space.
Makes learning feel effortless and fun.
Dr. Hao Zhou is a Lecturer in Finance in the School of Accounting and Finance, College of Business and Law, at Adelaide University. He is eligible to supervise Masters and PhD students as a co-supervisor. His research specializations encompass algorithmic trading, cryptocurrencies, and market microstructure. Zhou has investigated algorithmic execution strategies and the role of computerized traders, with a particular focus on their behavior during turbulent periods in financial markets. Previously affiliated with the UniSA Business School, his work reflects a career dedicated to understanding high-frequency and algorithmic trading dynamics in volatile and Asia-Pacific contexts.
Key publications include Zhou, H., Kalev, P. S., & Frino, A. (2020). 'Algorithmic trading in turbulent markets,' Pacific Basin Finance Journal, 62, 101358, which examines algorithmic activities amid market instability. In Zhou, H., & Kalev, P. S. (2019). 'Algorithmic and high frequency trading in Asia-Pacific, now and the future,' Pacific-Basin Finance Journal, 53, 186-207, the authors review current trends and future prospects in the region. Zhou, H., Elliott, R. J., & Kalev, P. S. (2019). 'Information or noise: what does algorithmic trading incorporate into the stock prices?,' International Review of Financial Analysis, 63, 27-39, analyzes the informational content contributed by algorithmic trades to stock prices. Additionally, Zhou, H., Kalev, P. S., & Lian, G. A. (2014). 'Algorithmic trading in volatile markets,' presented at the 26th Australasian Banking and Finance Conference. Zhou earned his PhD in Finance from the University of South Australia in 2017, with a thesis on algorithmic trading and high-frequency trading. His contributions advance knowledge on how algorithmic processes influence market efficiency and stability.
