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Record W2902293742 · doi:10.1017/s1365100518000627

THE “DARK SIDE” OF CREDIT DEFAULT SWAPS INITIATION: A CLOSE LOOK AT SOVEREIGN DEBT CRISES

2018· article· en· W2902293742 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMacroeconomic Dynamics · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCredit Risk and Financial Regulations
Canadian institutionsCarleton University
FundersAgence Nationale de la Recherche
KeywordsCredit default swapMonetary economicsSovereign creditDefaultIndependence (probability theory)SovereigntyDebtCredit riskBusinessEconomicsFinancial systemFinance

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.018
GPT teacher head0.233
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it