The Switch‐Up: An Examination of Changes in Earnings Management after Receiving SEC Comment Letters
Bibliographic record
Abstract
ABSTRACT The SEC has long asserted that earnings management practices result in adverse consequences for investors. We examine whether SEC oversight affects firms' accounting quality in terms of earnings management trade‐offs. We expect that increased firm‐specific regulatory scrutiny, in the form of an SEC comment letter, will induce management to switch from accrual‐based earnings management (AEM), which is a main focus of the SEC, to real‐activities‐based earnings management (REM), which is not likely to be commented on in the SEC's review process. Consistent with our predictions, we find that AEM is lower and REM is higher following the receipt of a comment letter, relative to non‐comment‐letter years and a propensity‐score‐matched sample of non‐comment‐letter firms. However, we do not find a significant difference in total earnings management (i.e., the sum of AEM and REM), suggesting that the higher REM acts as a substitute for lower AEM activity. We further find that our results are driven by accounting comments relating to estimates and accruals and not by classification‐only comments, which suggests that a comment letter that does not question specific issues associated with estimates and accruals is not a strong enough signal to induce the firm to change earnings management behavior. Additionally, the shift to REM is attenuated for firms with high institutional ownership. These results collectively suggest that the comment letter process effectively constrains AEM but has the unintended consequence of firms, on average, switching to REM.
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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".