Alan L. Zhang

Alan L. Zhang

Assistant Professor of Finance

Florida International University

I am an Assistant Professor of Finance at Florida International University. My research broadly focuses on FinTech, investments and corporate finance, with a particular interest in analyzing unstructured textual data and big data on mutual funds, hedge funds and corporate disclosures.

My research has been published in Journal of Accounting Research, and has been presented at prestigious conferences, such as the National Bureau of Economic Research (NBER) Economics of AI Conference, NBER Big Data and Securities Markets Conference, AFA, CICF, FIRS, and RCFS Winter Conference. It also has been featured on Bloomberg, CNBC, Financial Times, The Guardian, NBER Digest, Columbia Law School Blue Sky Blog, and Oxford Business Law Blog.

Download Alan’s Curriculum Vitae.

Google Scholar

SSRN Author Page

Interests
  • FinTech: machine learning, textual analysis
  • Investments: hedge funds, mutual funds
  • Corporate finance: disclosures, behavioral finance
Education
  • Ph.D. in Finance

    Georgia State University

  • M.S. in Finance

    Johns Hopkins University

  • B.A. in Economics

    Xiamen University

Research

Publication

  • Copycat Skills and Disclosure Costs: Evidence from Peer Companies’ Digital Footprints, with Sean Cao, Kai Du and Baozhong Yang, 2021, Journal of Accounting Research 59: 1261–1302.
    • Digital footprints allow the identification of copycat investment firms and their targets. Copycat investment firms are selective in their imitation of peer firms' trading strategies, generating profits and imposing costs on disclosing companies.
    • Presentations: CICF 2019, MFA 2020, PNC Finance Conference at University of Kentucky, 16th GMARS Research Symposium at Michigan State University, 2019 Georgia Tech SESARC Conference
       

Working Papers

 

Selected Work in Progress

  • Can Mutual Fund Investors Identify “Smart Money”? with Vikas Agarwal
  • Do Hedge Funds Know Which Hedge Funds are Good?

Coverage for Research

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