About Me

Hello! I am Guangzhe Wang, a fourth-year Ph.D. candidate in Accounting at the School of Accounting and Finance, The Hong Kong Polytechnic University. My research focuses on information disclosure and applies the artificial intelligence, particularly large language models, to questions in finance and accounting. My ongoing work explores how AI shapes the information environment of capital markets and influences individual behaviors.

Prior to my Ph.D., I received a Master of Science in Data Science and Analytics. I am always open to collaboration and intellectual exchange, feel free to get in touch.

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Education

The Hong Kong Polytechnic University Sep 2023 - Present

Ph.D. in Accounting, School of Accounting and Finance

Chief Advisor: Nancy Su

The Hong Kong Polytechnic University Sep 2022 - Jun 2023

M.S. in Data Science and Analytics, Department of Data Science and Artificial Intelligence

Zhejiang University of Finance and Economics Sep 2018 - Jun 2022

B.S. in Financial Engineering, School of Finance

Experience

University of California, Berkeley Jan 2026 - Present

Visiting Ph.D. Student, Haas School of Business

Host Advisor: Omri Even-Tov

Publications

FinTech

  1. Do Prediction Markets Price Events or Adjudication? Evidence from the Disputed Polymarket Markets.Paper Link
  2. Does a Time-Weighted Average Price Deter Settlement Manipulation? Evidence from Polymarket’s Five-Minute Bitcoin MarketsSSRN Paper Link
    Forthcoming at Economics Letters
    Public coverage: TradoxVPS, Top 1% paper listed in AI Referee Paper Leaderboard

Working Papers & Research in Progress

AI

  1. Limited Attention and Generative AI in Financial Reporting: Theory and Experimental EvidencePaper Link
  2. Correlation Neglect and Under-Diversification of AI in Learning from Prices
    Revise & Resubmit (minor) at International Review of Economics & Finance

Disclosure

  1. Redundant Disclosure and the Allocation of Investor Research
    Under Review (awaiting reviewers’ scores) at Management Science
  2. Does Letter to Shareholders Convey Private Information?
    with Caixia Hu, Xiaoyang Li, and Nancy Su
    Draft available on request.