The Impact of Disclosures of Internal Control Weaknesses and Remediations on Investors' Perceptions of Earnings Quality
Bibliographic record
Abstract
Abstract We hypothesize and find that firms making SOX‐mandated disclosures of material weaknesses in internal control over financial reporting (ICOFR) exhibit lower investor‐perceived earnings quality (IPEQ) than nondisclosers. We measure IPEQ using e‐loading, a market‐returns–based representation of earnings quality developed by Ecker, Francis, Kim, Olsson, and Schipper (2006). Firms do not exhibit decreases in IPEQ after initially disclosing material weaknesses. This is consistent with investors having anticipated ICOFR strength based on observable firm characteristics. However, firms exhibit increases in IPEQ after receiving their first clean audit reports that confirm the remediation of previously disclosed weaknesses. This indicates that, although investors do not find initial weakness disclosures to be incrementally informative, SOX motivates firms to remediate weak controls and provides a venue for credible remediation disclosures, thus enhancing investors' perception of financial reporting reliability. These findings are consistent with the existence of regulatory benefits associated with SOX's internal control disclosure and audit requirements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".