The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
How Do Investors Assess the Credibility of Management Disclosures?
Abstract
This paper synthesizes the existing literature on disclosure credibility and identifies four factors that investors consider when assessing the credibility of a management disclosure: (1) situational incentives at the time of the disclosure, (2) management's credibility (i.e., competence and trustworthiness), (3) the levels of external and internal assurance, and (4) characteristics of the disclosure itself. Disclosure credibility tends to be higher when management has few incentives to mislead investors and/or is perceived to be competent and trustworthy. Validation by external or internal sources also can enhance a disclosure's credibility. Moreover, disclosure credibility is influenced by various characteristics of the disclosure itself, such as its precision, venue, timing, inherent plausibility, and amount of supporting information.
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.
Integrity signals
Registry
Cites
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.
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
The Value of Auditor Assurance: Evidence from Loan Pricing
Blackwell, D. W., Noland, T. R., & Winters, D. B. (1998) · Journal of Accounting Research · doi:10.2307/2491320 · Cited by 417
Cited by
The Impact of Strategic Relevance and Assurance of Sustainability Indicators on Investors' Decisions
Cheng, M. M., Green, W. J., & Ko, J. C. W. (2015) · AUDITING: A Journal of Practice & Theory · doi:10.2308/ajpt-50738 · Cited by 317
Baier, C., Göttsche, M., Hellmann, A., & Schiemann, F. (2022) · Journal of Business Ethics · doi:10.1007/s10551-020-04719-7 · Cited by 61
Metadata
- Authors
- Mercer, M.
- Venue
- Accounting Horizons
- Publisher
- American Accounting Association
- Published
- 2004-09-01
- Volume
- 18
- Issue
- 3
- Pages
- 185-196
- ISSN
- 0888-7993 (ISSN-L)
- 1558-7975
- OpenAlex
- W2136047603
- Cited by
- 453
- References
- 1
- FWCI
- 27.03
- 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: How Do Investors Assess the Credibility of Management Disclosures? https://app.cochat.ai/papers/10.2308/acch.2004.18.3.185
- The paper
- Mercer, M. (2004). How Do Investors Assess the Credibility of Management Disclosures? Accounting Horizons. https://doi.org/10.2308/acch.2004.18.3.185
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.