Mingwei Sun

Dr Mingwei Sun

Lecturer

School of Accounting and Finance

College of Business and Law


Dr Mingwei Sun is a Lecturer at the Adelaide University, with research expertise spanning empirical corporate finance, asset pricing, and AI-enabled text analytics. His work leverages large datasets, both numerical and unstructured corporate text, to quantify firm-level signals and strengthen how researchers and practitioners evaluate performance, strategy, and risk. His research has been published in high-quality, peer-reviewed journals ranked A* and A on the ABDC list, covering topics in empirical corporate finance and asset pricing. He also contributes to the academic community through peer review and collaboration. As an educator, he brings a data-driven approach to teaching, focusing on applied analytics skills, critical thinking, and the responsible use of AI in business decision-making.

Date Institution name Country Title
University of Adelaide Australia PhD
Newcastle University United Kingdom MSc

Year Citation
2026 Bai, M., Sun, M., & Yawson, A. (2026). How does mandatory CSR disclosure affect labor investment decisions?. Journal of Banking & Finance, 107674.
DOI
2023 Liu, S., Sualihu, M. A., Sun, M., & Yawson, A. (2023). Exploring the acquisition behavior of penny stock firms. British Accounting Review, 56(6), 101276.
DOI Scopus2 WoS2
2023 Bai, M., Fu, Y., & Sun, M. (2023). Corporate diversification and labor investment efficiency: Evidence from China. Economic Modelling, 127, 17 pages.
DOI Scopus18 WoS18
2022 Sun, M., & Glabadanidis, P. (2022). Can technical indicators predict the Chinese equity risk premium?. International Review of Finance, 22(1), 114-142.
DOI Scopus7 WoS7
2022 Chen, J. L., Glabadanidis, P., & Sun, M. (2022). The five-factor asset pricing model, short-term reversal, and ownership structure – the case of China. International Review of Financial Analysis, 82, 102147.
DOI Scopus19 WoS18
- The role of ChatGPT in higher education: Benefits, challenges, and future research directions (2023). Journal of Applied Learning & Teaching, 6(1).
DOI

Year Citation
2025 Kalendra, D., Nair, S., Sun, M., Rasul, T., Ladeira, W. J., & Santini, F. D. O. (2025). AI-powered pedagogy: transforming education in the Digital Age. In Handbook of Artificial Intelligence in Higher Education (pp. 315-329). Edward Elgar Publishing.
DOI

Year Citation
2022 Sun, M. (2022). The Double-Edged Sword of Rubric Design on Grade Inflation: An Australian MBA Quasi-Experiment Study. In ACM International Conference Proceeding Series (pp. 69-75). ACM.
DOI Scopus2

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