Corporate Bondholder Reactions to Bank Loan Covenant Violations and the Evolution of Bank Loan Covenants
Bibliographic record
Abstract
This paper examines firms’ corporate bond price reactions to bank loan covenant violations. Using an event study approach, we find that firms’ bond price response is marginally negative in the 1990s and becomes significantly positive in the 2000s. The positive bond price reactions suggest bondholders benefit from bank loan covenant violations in more recent years. Specifically, bank loan covenant violations enable banks to step in and take necessary actions to protect creditors’ interests, which benefit not only private lenders but also public corporate bondholders. In addition, the temporal change in bond price response suggests the disciplining role of bank loan covenants becomes increasingly important in recent years: banks gradually take debt covenants as “trip wires”, which give banks an option to take necessary actions when the early warning signal shows up through covenant violations. Furthermore, we find that bondholders and stockholder reactions are positively correlated in recent years, and that managerial entrenchment could decrease banks’ influence after violations.
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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 | 0.015 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".