THE “DARK SIDE” OF CREDIT DEFAULT SWAPS INITIATION: A CLOSE LOOK AT SOVEREIGN DEBT CRISES
Bibliographic record
Abstract
We examine the effect of sovereign credit default swaps (CDS) trading initiation on the occurrence of sovereign debt crises (SDC). Estimations on a large sample of 141 countries for 1980–2013 reveal that, by affecting the fiscal stance, CDS initiation increases by around 1.5 percentage points on average the probability of SDC in countries with CDS compared to the other countries. This result holds for different robustness tests and is found to be stronger for developing countries, for countries with initial lower creditworthiness, and when the degrees of central bank independence and public sector transparency are low. Consequently, compared to existing work emphasizing favorable effects, CDS trading initiation is found to have adverse effects, by increasing the occurrence of SDC. These opposite effects should fuel the literature on measuring the consequences of CDS trading initiation, and its design and implementation from a policy perspective.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.004 | 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".