IPO Firms’ Voluntary Compliance with SOX 404 as Evidence on the Value Relevance of Internal Control Quality
Bibliographic record
Abstract
Newly public firms are not required to comply with SOX 404 for their initial public offerings. This provides a unique setting in which to investigate the benefits of voluntary disclosure with SOX 404 and the value of information revealed as a consequence of compliance. We investigate whether voluntary compliance with SOX 404, either fully or partially, impacts the perceived risk of firms conducting IPOs on the first day of trading (reflected in underpricing) or following the IPO. Our results indicate that neither full compliance with SOX 404 at the time of the IPO, nor a managerial discussion of internal controls prior to the IPO, result in lower underpricing or higher post-IPO performance. This suggests that the costs incurred through the SOX 404 compliance process may be unnecessary. Indirectly, our results provide additional evidence that some of the requirements of SOX extract costs from shareholders without supporting better quality information.
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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 | 0.006 | 0.059 |
| 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) | 0.002 | 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".