The Effect of Regulation on the Timeliness and Informational Role of Earnings Announcements
Bibliographic record
Abstract
ABSTRACT This paper examines the effect of regulations (i.e., the Sarbanes‐Oxley Act and Regulation G) on both the timing of earnings announcements and their relative informational role. I find that after the regulation of earnings announcements was instituted, firms began issuing less timely earnings announcements, and those announcements have become more important for shareholders. Ceteris paribus, after the regulations, firms have disclosed their fiscal year‐end announcements more than four days later than they had prior to regulatory changes. My results are robust to sensitivity analyses that control for concurrent earnings announcement disclosures and other changes instituted by the Sarbanes‐Oxley Act. Further, I find evidence suggesting that the relative informational role of earnings announcements has increased significantly in the post‐regulation period. This study highlights a shift in both the timeliness and investor perceptions of earnings announcements spurred by the implementation of regulatory oversight, indicating a trade‐off of timeliness for relevance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.063 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".