The Sarbanes‐Oxley Act and Exit Strategies of Private Firms
Bibliographic record
Abstract
The costs and benefits of the Sarbanes‐Oxley Act of 2002 (SOX) have been oft‐debated since the inception of the Act. Much of the extant literature has assessed the costs and benefits of SOX to publicly traded companies. We focus on the costs of SOX compliance for private firms wanting to exit the private market via either an acquisition by a public firm or an IPO. Consistent with our predictions we establish two principal findings. First, SOX appears to have shifted the preferences of private firms from going public to exiting the private market via acquisition by a public acquirer. Second, private target deal multiples are increasing in variables that proxy for a private target's level of pre‐acquisition SOX compliance. These findings suggest that SOX‐related costs have both restricted the action space of possible exit strategies for private firms and led to lower deal multiples for those private acquisition targets that are less likely to be SOX compliant prior to acquisition.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".