Dr Hang Zhou’s research covers a wide range of topics in financial markets including Empirical Asset Pricing, Credit risk and Machine Learning applications.

Dr Hang Zhou is an assistant professor in Finance at Nottingham University Business School China. Prior to Joining NUBS in October 2020, he was at University of Edinburgh (Assistant Professor in Finance).

Hang's research is primarily centered on the domains of Empirical Asset Pricing, Credit Risk, and the applications of Machine Learning. His scholarly work has garnered interest from both practitioners and policymakers, facilitating research collaborations with financial institutions such as the Shanghai Stock Exchange, London Stock Exchange, Aberdeen Standard Investments, and the Ningbo Finance Bureau.

Hang has also made contributions to SSCI journals, including the Journal of Financial Markets, British Accounting Review, and European Journal of Finance, as well as SCI journals such as Neurocomputing and Complex & Intelligent Systems. Furthermore, his research has been accepted for presentation at international conferences, including the FMA Asia/Pacific Conference and the MIT Asia Conference in Accounting.

Hang serves as a referee for academic journals such as British Journal of Management, British Accounting Review, Journal of Business Finance and Accounting, International Review of Financial Analysis, European Journal of Finance, Economic Modelling and Finance Research Letters.

I am interested in supervising PhD students in the areas of Financial Technology and Corporate Finance:

• Machine Learning applications in accounting and finance
• Natrual language processing in accounting and finance
• Disclosure of corporations and financial institutions
• Social media and financial markets

Postgraduate

• Data Analytics and Machine Learning for Fintech
• Financial Markets and Instruments
• Fintech Dissertation/Business Project

PhD

• Modern topics in Accounting and Finance