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Record W153859216

Fear of Sovereign Default, Banks, and Expectations-Driven Business Cycles

2013· preprint· en· W153859216 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

VenueCarleton University's Institutional Repository (MacOdrum Library, Carleton University) · 2013
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsMcMaster UniversityCarleton University
Fundersnot available
KeywordsDefaultSovereign defaultMonetary economicsDebtGovernment debtRecessionBusinessImperfectFinancial systemCredit riskPessimismGovernment (linguistics)EconomicsShock (circulatory)SovereigntyInterest rateSovereign debtFinanceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

What is the effect of the fear of future sovereign default on the economy of
\nthe defaulting country? The typical sovereign default model does not address
\nthis question. In this paper we wish to explore the possibility that changing
\nexpectations about future default themselves can lead to financial stress (as
\nmeasured by credit spreads) and recessionary outcomes. We exploit the "news-
\nshock" framework to consider an environment in which sovereign debt-holders
\nreceive imperfect signals about the portion of debt that a sovereign may default
\non in the future. We then investigate how domestic banks can play a role in
\ntransmitting the expectation of default into a realized recession through the
\ninteraction of the domestic banks' holdings of government debt and their risk-
\nweighted capital requirements. Our results suggest that, consistent with the
\ndata, even in the absence of actual realized government default, an increase in
\npessimism regarding the prospect of future default results in a rise in yields on
\ngovernment debt and an increase in interest rates on private domestic loans, as
\nwell as a recession in the economy.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.013
GPT teacher head0.174
Teacher spread0.161 · 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