Does the Adoption of iXBRL Improve Data Usability? Evidence From Future Earnings Response Coefficients

ABSTRACT This paper examines how the adoption of iXBRL affects future earnings response coefficients (FERCs), which measure investors' ability to predict future performance and impound the prediction into the current‐year stock price. We find that the adoption of iXBRL is positively associated with FERCs. This finding indicates that investors can better anticipate the future performance from iXBRL filings and reflect it on the current stock price. We also find that the number of standardized and extension tags can strengthen the association between iXBRL adoption and FERCs, demonstrating the benefit of those two tags in enhancing investors' capabilities to analyze complex financial disclosures. Our findings are informative to the SEC regarding the effectiveness of the iXBRL mandate. We also contribute to the emerging literature on iXBRL adoption and the usability of iXBRL filings.This is the peer reviewed version of the following article: [Does the Adoption of iXBRL Improve Data Usability? Evidence From Future Earnings Response Coefficients. Journal of Corporate Accounting & Finance (2025)], which has been published in final form at https://doi.org/10.1002/jcaf.22791. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions: https://authorservices.wiley.com/author-resources/Journal-Authors/licensing/self-archiving.html#3. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing [email protected].

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.16822267
Primary Topic
Financial Reporting and XBRL
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does the Adoption of iXBRL Improve Data Usability? Evidence From Future Earnings Response Coefficients

Zenodo (CERN European Organization for Nuclear Research)
Financial Reporting and XBRL
article

Does the Adoption of iXBRL Improve Data Usability? Evidence From Future Earnings Response Coefficients

article en

Abstract

ABSTRACT This paper examines how the adoption of iXBRL affects future earnings response coefficients (FERCs), which measure investors' ability to predict future performance and impound the prediction into the current‐year stock price. We find that the adoption of iXBRL is positively associated with FERCs. This finding indicates that investors can better anticipate the future performance from iXBRL filings and reflect it on the current stock price. We also find that the number of standardized and extension tags can strengthen the association between iXBRL adoption and FERCs, demonstrating the benefit of those two tags in enhancing investors' capabilities to analyze complex financial disclosures. Our findings are informative to the SEC regarding the effectiveness of the iXBRL mandate. We also contribute to the emerging literature on iXBRL adoption and the usability of iXBRL filings.This is the peer reviewed version of the following article: [Does the Adoption of iXBRL Improve Data Usability? Evidence From Future Earnings Response Coefficients. Journal of Corporate Accounting & Finance (2025)], which has been published in final form at https://doi.org/10.1002/jcaf.22791. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions: https://authorservices.wiley.com/author-resources/Journal-Authors/licensing/self-archiving.html#3. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing [email protected].

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 35%
Financial Reporting and XBRL
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Does the Adoption of iXBRL Improve Data Usability? Evidence From Future Earnings Response Coefficients · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS