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Record W1571591211 · doi:10.5539/ibr.v8n7p102

Determinants of Sovereign CDS Spreads: Evidence from Brazil

2015· article· en· W1571591211 on OpenAlexvenueno aff
Elton O. Silva, Wanderlei Lima de Paulo

Bibliographic record

VenueInternational Business Research · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCredit Risk and Financial Regulations
Canadian institutionsnot available
Fundersnot available
KeywordsCredit default swapSovereign creditCredit riskIndex (typography)Stock market indexSovereigntyiTraxxVolatility (finance)BusinessFinancial systemStock (firearms)Credit default swap indexEconomicsFinancial economicsMonetary economicsStock marketActuarial scienceCredit valuation adjustmentGeographyCredit referencePolitical science

Abstract

fetched live from OpenAlex

Credit derivatives are important financial instruments used to transfer credit risk of loans and other assets. Among them stands out the so-called sovereign credit default swap (CDS), which works as a kind of insurance against sovereign credit risk. The international literature has shown a correlation between sovereign CDS, CDS index and stock index. The present study aims to identify and analyze the determinants factors of the Brazilian sovereign credit default swap spreads (CDSs Brazil), from a multiple linear regression model adjusted for the period May 2009 to May 2014. The results show that the S&P 500 has a greater effect on the CDSs Brazil, followed by the factors Bovespa index (Brazilian stock market index), iTraxx index, European index CDS, FX volatility and CDS USA. Moreover, the CDSs Brazil has a positive relationship with the stock indexes and a negative relationship with the other variables, results similar to some studies in the literature.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.219
GPT teacher head0.393
Teacher spread0.174 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2015
Admission routes1
Has abstractyes

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