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Dr Jing Zhao
PolyU Scholars Hub

Dr Jing ZHAO

Associate Professor

PhD

Biography

Jing Zhao is an Associate Professor of Finance at Hong Kong Polytechnic University. She joined the School of Accounting and Finance upon the completion of her Ph.D. at the University of Hong Kong.

Dr. Zhao’s research focuses on how investors utilize information from various sources and make (suboptimal) investment decisions. She is also interested in the corporate governance and ESG activities. Her research has been published in top academic journals such as the Journal of Finance, Review of Financial Studies, Management Science, etc. She is also the recipient of multiple prestigious research grants.

Education and Academic Qualifications

  • Doctor of Philosophy, The University of Hong Kong
  • Bachelor of Science, University of Science and Technology of China

Research Interests

  • Behavioral Finance and Market Microstructure
  • Corporate Social Responsibility
  • Digital Transformation and Fintech

Research Output

Utpal Bhattacharya, Amit Kumar, Sujata Visaria, and Jing Zhao, 2024, Do Women Get Worse Financial Advice? Forthcoming at Journal of Finance.

  • Feature Story in the Bloomberg, September 5th, 2020.
  • Asian Development Bank Working Paper Series, 2023.

Kuo, Wei-Yu, Tse-Chun Lin, and Jing Zhao, 2024, The Correlated Trading and Investment Performance of Individual Investors, Forthcoming at Journal of Empirical Finance.

Ng, Jeffery, Hong Wu, Weihuan Zhai, and Jing Zhao, 2021, The Effect of Shareholder Activism on Earnings Management: Evidence from Shareholder Proposals, Journal of Corporate Finance 69, 102014.

Bhattacharya, Utpal, Wei-Yu Kuo, Tse-Chun Lin, and Jing Zhao, 2018, Do Superstitious Traders Lose Money? Management Science 64(8), 3772—3791. 

  • Feature Story in the Economist, August 30th, 2014

Kuo, Wei-Yu, Tse-Chun Lin, and Jing Zhao, 2015, Cognitive Limitation and Investment Performance: Evidence from Limit Order Clustering, Review of Financial Studies 28 (3), 838—875.

  • The 10th Taiwan Security and Future Institute Best Paper Award, runner up

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