Do Credit Default Swaps Mitigate the Impact of Credit Rating Downgrades?
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 We find that a firm’s stock price reaction to its credit rating downgrade announcement is muted by 44–52% when credit default swaps (CDSs) trade on its debt. We explore the role of the CDS markets in providing information ex ante and relieving financing frictions ex post for downgraded firms. We find that the impact of CDS trading is more pronounced for firms whose debt financing is more dependent on credit ratings (e.g., those rated around the speculative-grade boundary, those with a higher number of rating-based covenants). Reductions in debt and investment, and the increase in financing costs are less severe for CDS firms than non-CDS firms following an identical credit rating downgrade. Our results suggest that CDSs mute the stock market reaction to a credit rating downgrade by alleviating the financing frictions faced by downgraded firms.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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