Type To Search
Type To Search

People

Home People
Yan XIONG
Prof. Yan XIONG
Accounting and Law
Finance
Associate Professor
MAcct Deputy Programme Director

39171003

KK 1218

Academic & Professional Qualification
  • Ph.D., Finance, University of Toronto
  • M.A., Renmin University of China
  • B.A., Shanghai University of Finance and Economics
Research Interest
  • Big Data, Financial Markets, Information Economics
Selected Publications
  • Xu Jiang and Yan Xiong, “Disclosing endogenous cost information”, The Accounting Review, 100(2), 249-268, 2025.
  • Itay Goldstein, Yan Xiong, and Liyan Yang, “Information sharing in financial markets,” Journal of Financial Economics, 163, 103967, 2025.
  • Yan Xiong and Liyan Yang, “Secret and overt information acquisition in financial markets,” Review of Financial Studies, 36(9), 3643–3692, 2023.
  • Xu Jiang, Baohua Xin, and Yan Xiong, “Why is certified financial reporting mandatory? A real effects perspective,” Journal of Accounting Research, 61(1), 377–413, 2023.
  • Xi Li, Krista Li, and Yan Xiong, “Channel coordination of storable goods,” Marketing Science, 42(3),429–636, 2023.
  • Yan Xiong and Xu Jiang, “Economic consequences of managerial compensation contract disclosure,” Journal of Accounting and Economics, 73(2-3), Article 101489, 2022.
  • Shiyang Huang,Yan Xiong, and Liyan Yang, “Skill acquisition and data sales,” Management Science,68(8), 6116–6144, 2022.
  • Yan Xiong and Liyan Yang, “Disclosure, competition and learning from asset prices,” Journal of Economic Theory, 197, Article 105331, 2021.
  • Shichao Ma and Yan Xiong, “Information bias in the proxy advisory market,” Review of Corporate Finance Studies, 10(1), 82–135, 2021.
Awards and Honours
  • 2022 Review of Corporate Finance Studies Rising Scholar Award
Recent Publications
More
17Apr
Prof. Yan XIONG
The Rise of Alternative Data: Credit Market Analysis in the AI Era

With the rapid development of artificial intelligence technology, some borrowers may use it to enhance their credit data in order to obtain loan approvals. Instead of approving borrowers through extensive data collection from multiple sources, lenders might consider self-imposing limits to focus on improving the quality of the data collected while also increasing loan profits.

17 Apr 2025