Strategic Disclosure and Debt Covenant Violation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT This study examines how managers change their forecasting behavior as a debt covenant violation (DCV) approaches. We find that management forecasts are more optimistic in the quarter before a DCV, and this result is stronger when firms face a higher risk of shifting control rights to lenders in the event of a DCV. Furthermore, we find that managers combine their forecast optimism with actions that are favorable to shareholders but would likely be curtailed by lenders after the DCV. Last, we find managers who are more optimistic in their forecasts are less likely to be replaced after a DCV. Overall, our results are consistent with managers changing their disclosure behavior in an attempt to reduce lenders' awareness of an impending DCV, and thus, buy themselves time to take actions favorable to equity investors.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it