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Rengong (Alex) Zhang

Zhang, Rengong (Alex)
Assistant Professor
B.A. (East China Normal University), M.A. (College of William & Mary), Ph.D. (University of Alberta), Certificate in Fintech (NYU), Certificate in Big Data Analytics (MIT), Certificate in ESG investing (CFA Institute)
Location
DMS 8148
Telephone
613-562-5800 x 1642
Email
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Biography

Dr. Rengong (Alex) Zhang’s research uses big data to study workplace safety, labor, and capital market issues. He has recently published in the Journal of Finance and Quantitative Analysis, Organization Science, Journal of Operations Management, Review of Quantitative Finance and Accounting, and European Accounting Review. His research has been covered by media outlets such as S&P Global and National Affairs.

Before joining Telfer, Dr. Zhang worked at City University of Hong Kong. Sponsored by a large government grant, he led the establishment of Asia’s first cloud-based ESG analytics (virtual) lab. He was frequently invited as a guest speaker on Fintech and data analytics at large education forums. Professionally, Dr. Zhang was also invited to speak on Fintech and investment strategy at reputable financial institutions such as S&P global and AIA.

Publications during the last 7 years

Papers in Refereed Journals

  • Liang, C., Qi, Y., Zhang, R. and Zhu, H. 2023. Does Sunlight Kill Germs? Stock Market Listing and Workplace Safety. Journal of Financial and Quantitative Analysis, 58(4): 1645 - 1674.
  • Qian, C., Crilly, D., Lin, Y., Zhang, K. and Zhang, R. 2023. Short-Selling Pressure and Workplace Safety: Curbing Short-Termism Through Stakeholder Interdependencies. Organization Science, 34(1): 358-379.
  • Xia, J. and Zhang, R. 2023. Media Co-coverage and Overreaction in Cross-Industry Information Transfers. European Accounting Review, (In Press).
  • Zhang, R., Hora, M., Wier, H. and John, S. 2022. Competition and Slack: The Role of Tariffs on Cost Stickiness. Journal of Operations Management, 68(8): 855-880.
  • Liang, C. and Zhang, R. 2020. Post-Earnings Announcement Drift and Parameter Uncertainty: Evidence from Industry and Market News. Review of Quantitative Finance and Accounting, 55(2): 695–738.

Funded Research during the last 7 years

Funded Research during the last 7 years
From-To Source Title * ** Role Amount
2023-2025 University Grant Committee (UGC) of Hong Kong Sustainability Meets Technology: A Novel Approach of Sustainability Education through a Student-led ESG Analytics Platform R G PI $ 172,709
2023-2025 University Grant Committee (UGC) of Hong Kong Does Automation Makes the Workplace Safer? R G Co-I $ 78,696
2021-2022 City University of Hong Kong Discovery-based financial education in a digital society: incorporating online artificial- intelligence tools in student-led learning activities P I PI $ 38,138
2020-2022 City University of Hong Kong Predicting Workplace Safety Using Machine Learning R I PI $ 17,300
2020-2022 City University of Hong Kong Internal Governance and Corporate Social Responsibility: Evidence from Workplace Safety R I PI $ 16,930
2018-2020 City University of Hong Kong How does being Public Fare for Non-stakeholders: evidence from workplace safety R I PI $ 16,530
2017-2019 City University of Hong Kong How do Entrepreneurial Firms Disclose Risk: Evidence from the OTC Market R I PI $ 16,660
2016-2018 City University of Hong Kong Competition and SG&A Spending S I PI $ 68,280

LEGEND:

*Purpose
C: Contract (R and D) | E: Equipment Grant | R: Research Grant | S: Support Award | P: Pedagogical Grant | O: Other, U: Unknown

**Type
C: Granting Councils | G: Government | F: Foundations | I: UO Internal Funding | O: Other | U: Unknown

Role
PI = Principal Investigator | Co-I = Co-Investigator | Co-PI = Co-Principal Investigator

Pillars
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