Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 403

The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.

Stock market reactions to adverse ESG disclosure via media channels

Wong, Jin Boon, Zhang, Qin·2022·The British Accounting Review

Abstract

Abstract This study examines the value relevance of corporate reputation risks (CRR) from adverse media coverage of environmental, social and governance (ESG) issues on stock performance at the firm level. Empirical results advance signalling theory and resource-based view by providing evidence that corporate reputation is considered a valuable intangible asset by investors and adverse ESG disclosure via media channels have a significant and negative impact on firm valuation. The research is extended using various factors and indicates that heightened CRR have a substantially negative corollary effect on stock price of smaller and less liquid firms that are typically not S&P500 constituents. Further analysis using industry classifications reveals that stock performance of companies in the ‘sin’ triumvirate (i.e., alcohol, tobacco, and gaming) is not significantly affected by negative ESG media coverage. Instead, firms in candy & soda, steel works, banking, and insurance industries are the most susceptible to investors’ repercussion from undesirable media spotlight. These findings provide new insights and indicate that beyond the type and delivery method of ESG disclosures, firm characteristics, corporate reputation status and industry explain differences in investors’ reaction to ‘bad’ news.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.bar.2021.101045

Cites

132 of 132 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 132 references

Cited by

See all 403

Metadata

Authors
Wong, J. B., & Zhang, Q.
Venue
The British Accounting Review
Publisher
Elsevier BV
Published
2022-01
Volume
54
Issue
1
Pages
101045
ISSN
0890-8389 (ISSN-L)
OpenAlex
W3201408471
Cited by
403
References
132
FWCI
50.00
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Stock market reactions to adverse ESG disclosure via media channels. https://app.cochat.ai/papers/10.1016/j.bar.2021.101045
The paper
Wong, J. B., & Zhang, Q. (2022). Stock market reactions to adverse ESG disclosure via media channels. The British Accounting Review. https://doi.org/10.1016/j.bar.2021.101045

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.