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AN ADMISSIBLE TERM STRUCTURE MODEL OF SOVEREIGN YIELD SPREADS WITH MACRO FACTORS: THE CASE OF BRAZILIAN GLOBAL BONDS

2009· article· en· W2104101048 on OpenAlex
Zhuoshi Liu, Peter Spencer

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

VenueManchester School · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCredit Risk and Financial Regulations
Canadian institutionsBarrie Urology Group
Fundersnot available
KeywordsEconomicsBondVolatility (finance)MacroYield (engineering)Monetary economicsSovereigntyCredit riskAffine term structure modelTerm (time)Yield curveSovereign defaultEconometricsFinancial economicsFinanceSovereign debt

Abstract

fetched live from OpenAlex

We study the term structure of Brazilian sovereign bond yield spreads and their links with the domestic economy using a macro‐finance framework. Our model allows Brazilian macroeconomic variables as well as a latent country risk factor to affect sovereign spreads. We find that although the Brazilian sovereign yield spreads are dominated by the risk factor during the high default risk periods of 1999 and 2002, the effects of macro variables are significant during the rest of the estimation period. In addition, the volatility level of the macroeconomic system is driven by the country risk factor.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.546

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.242
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