The Nexus of Corporate Disclosure and Investors’ Information Needs: An Analysis Using Topic Modeling

ABSTRACT This paper identifies thematic topics that individual and institutional investors discuss about firms and investigates whether, and for which type of investors, companies incorporate in their disclosures the investors’ information needs. We use latent Dirichlet allocation to identify firm‐related topics discussed by investors and compare these topics with the content of subsequent firm disclosures. We find a positive association between the proportion of text dedicated to several firm‐related topics discussed by investors and the proportion of text on the same topics in firms’ subsequent MD&A disclosures. We also find that firms integrate much more in their disclosures institutional investors’ information needs, compared with those of individual investors. For a subset of topics, stronger associations occur for more profitable and high‐growth firms, and for firms experiencing more negative sentiment from institutional investors, subject to lower proprietary costs, and utilizing alternative communication channels. Overall, our findings extend the research on the link between individual and institutional investors’ request for information and the content of corporate disclosure.

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Publication Details

Journal
Journal of Business Finance &amp Accounting
Published
2025-02-12
DOI
https://doi.org/10.1111/jbfa.12857
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
4.21

Funders

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article

The Nexus of Corporate Disclosure and Investors’ Information Needs: An Analysis Using Topic Modeling

Daphne Lui, Andreea Moraru‐Arfire, Cong Tao
2 citations
Journal of Business Finance &amp Accounting
Impact of AI and Big Data on Business and Society
4.21
article

The Nexus of Corporate Disclosure and Investors’ Information Needs: An Analysis Using Topic Modeling

Daphne Lui, Andreea Moraru‐Arfire, Cong Tao
article en
2 citations

Abstract

ABSTRACT This paper identifies thematic topics that individual and institutional investors discuss about firms and investigates whether, and for which type of investors, companies incorporate in their disclosures the investors’ information needs. We use latent Dirichlet allocation to identify firm‐related topics discussed by investors and compare these topics with the content of subsequent firm disclosures. We find a positive association between the proportion of text dedicated to several firm‐related topics discussed by investors and the proportion of text on the same topics in firms’ subsequent MD&A disclosures. We also find that firms integrate much more in their disclosures institutional investors’ information needs, compared with those of individual investors. For a subset of topics, stronger associations occur for more profitable and high‐growth firms, and for firms experiencing more negative sentiment from institutional investors, subject to lower proprietary costs, and utilizing alternative communication channels. Overall, our findings extend the research on the link between individual and institutional investors’ request for information and the content of corporate disclosure.

Journal of Business Finance &amp AccountingVol. 52(5)
École Supérieure des Sciences Économiques et Commerciales (FR), CY Cergy Paris Université (FR), Lancaster University (GB)
London School of Economics and Political Science
Openalex Percentile: Top 8%
Impact of AI and Big Data on Business and Society
4.21
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