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Alan L. Zhang

Personal Details

First Name:Alan
Middle Name:L.
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh1144
[This author has chosen not to make the email address public]
https://www.alanlzhang.com/

Affiliation

College of Business Administration
Florida International University

Miami, Florida (United States)
http://business.fiu.edu/
RePEc:edi:cbfiuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Sean Cao & Wei Jiang & Baozhong Yang & Alan L. Zhang, 2020. "How to Talk When a Machine is Listening?: Corporate Disclosure in the Age of AI," NBER Working Papers 27950, National Bureau of Economic Research, Inc.

Articles

  1. Sean Cao Robert H. Smith & Wei Jiang & Baozhong Yang J. Mack Robinson & Alan L Zhang & Tarun Ramadorai, 2023. "How to Talk When a Machine Is Listening: Corporate Disclosure in the Age of AI," The Review of Financial Studies, Society for Financial Studies, vol. 36(9), pages 3603-3642.
  2. Sean Shun Cao & Kai Du & Baozhong Yang & Alan L. Zhang, 2021. "Copycat Skills and Disclosure Costs: Evidence from Peer Companies’ Digital Footprints," Journal of Accounting Research, Wiley Blackwell, vol. 59(4), pages 1261-1302, September.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Sean Cao & Wei Jiang & Baozhong Yang & Alan L. Zhang, 2020. "How to Talk When a Machine is Listening?: Corporate Disclosure in the Age of AI," NBER Working Papers 27950, National Bureau of Economic Research, Inc.

    Cited by:

    1. Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
    2. Wenting Song & Samuel Stern, 2022. "Firm Inattention and the Efficacy of Monetary Policy: A Text-Based Approach," Staff Working Papers 22-3, Bank of Canada.
    3. Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Working Papers halshs-03237437, HAL.
    4. Rong Liu & Jujun Huang & Zhongju Zhang, 2023. "Tracking disclosure change trajectories for financial fraud detection," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 584-602, February.
    5. Sanjiv Das & Xin Huang & Soji Adeshina & Patrick Yang & Leonardo Bachega, 2023. "Credit Risk Modeling with Graph Machine Learning," INFORMS Joural on Data Science, INFORMS, vol. 2(2), pages 197-217, October.
    6. Agam Shah & Arnav Hiray & Pratvi Shah & Arkaprabha Banerjee & Anushka Singh & Dheeraj Eidnani & Sahasra Chava & Bhaskar Chaudhury & Sudheer Chava, 2024. "Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis," Papers 2402.11728, arXiv.org, revised Oct 2024.
    7. Pungaliya, Raunaq S. & Wang, Yanbo, 2023. "Machine invasion: Automation in information acquisition and the cross-section of stock returns," Journal of Financial Markets, Elsevier, vol. 64(C).
    8. Brückbauer, Frank & Cezanne, Thibault, 2022. "Bank manager sentiment, loan growth and bank risk," ZEW Discussion Papers 22-066, ZEW - Leibniz Centre for European Economic Research.
    9. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.

Articles

  1. Sean Shun Cao & Kai Du & Baozhong Yang & Alan L. Zhang, 2021. "Copycat Skills and Disclosure Costs: Evidence from Peer Companies’ Digital Footprints," Journal of Accounting Research, Wiley Blackwell, vol. 59(4), pages 1261-1302, September.

    Cited by:

    1. Sani, Jalal & Shroff, Nemit & White, Hal, 2023. "Spillover effects of mandatory portfolio disclosures on corporate investment," Journal of Accounting and Economics, Elsevier, vol. 76(2).
    2. Dou, Yiwei & Hung, Mingyi & She, Guoman & Wang, Lynn Linghuan, 2024. "Learning from peers: Evidence from disclosure of consumer complaints," Journal of Accounting and Economics, Elsevier, vol. 77(2).
    3. Pan, Junyu & Cifuentes-Faura, Javier & Zhao, Xin & Liu, Xiaoqian, 2024. "Unlocking the impact of digital technology progress and entry dynamics on firm's total factor productivity in Chinese industries," Global Finance Journal, Elsevier, vol. 60(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2020-11-09. Author is listed
  2. NEP-CMP: Computational Economics (1) 2020-11-09. Author is listed

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