Does XBRL Tagging Indicate Disclosure Quality? The Relationship Between XBRL Standard and Extension Tags and Stock Return Synchronicity

Author:

Lim Jee-Hae1ORCID,Richardson Vernon J.2ORCID,Smith Rod3ORCID

Affiliation:

1. University of Hawaii at Manoa

2. University of Arkansas

3. California State University, Long Beach

Abstract

ABSTRACT We propose new measures of financial disclosure quality based on XBRL standard and extension tag counts. XBRL is designed to allow users to analyze more financial statement detail, thereby increasing reporting transparency. Thus, firms that use more XBRL standard tags should produce more detailed and comparable financial reports. To test this assertion, we examine the association between XBRL tag counts and stock return synchronicity, which measures the market’s reaction to the quality of firms’ disclosures. We find that firms that use more standard taxonomy tags in their 10-K reports have higher stock return synchronicity after the 10-K filing. However, we find that stock return synchronicity decreases as XBRL extension tag counts increase, suggesting that the use of extension tags reduces disclosure quality. Our findings contribute to the growing body of research on XBRL disclosure. Data Availability: Data are available from the public sources cited in the text.

Publisher

American Accounting Association

Subject

Management of Technology and Innovation,Information Systems and Management,Human-Computer Interaction,Accounting,Information Systems,Software,Management Information Systems

Reference59 articles.

1. Bhandari, P. 2022. Construct validity | definition, types, & examples. https://www.scribbr.com/methodology/construct-validity/

2. Accounting quality and firm-level capital investment;Biddle,;The Accounting Review,2006

3. How does financial reporting quality relate to investment efficiency?;Biddle,;Journal of Accounting and Economics,2009

4. Initial evidence on the market impact of the XBRL mandate;Blankespoor,;Review of Accounting Studies,2014

5. Assurance on XBRL-related documents: The case of United Technologies Corporation;Boritz,;Journal of Information Systems,2009

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