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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 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. Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2022. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Post-Print hal-03778525, HAL.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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).
    3. 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).

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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