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Record W2993046174

Sovereign Credit Quality in the Eurozone: A Preliminary Classification System

2013· article· en· W2993046174 on OpenAlexaboutno aff
G. N. Naidu, Askar H. Choudhury

Bibliographic record

VenueJournal of economics and economic education research · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic, financial, and policy analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTreasuryCredit ratingEconomicsBondFinancial systemDebtBond credit ratingBond marketCredit riskInterest rateDebtorFinanceEconomic policyCredit referenceCreditorLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION AND BACKGROUND Sovereign credit risk is receiving growing attention over the last three years heightened by the effects of financial crisis of 2008. To minimize the damage induced by the financial crisis western nations accepted transfer of a significant portion of private sector debt onto their respective balance sheets. The anemic economic growth rates exacerbated their fiscal woes which, in turn resulted in steeply rising debt/GDP ratios. Alarmed by this trend, the bond rating agencies began issuing watches and warnings of credit downgrades. The world's largest debtor nation, the U.S.A was not spared. The Standard & Poor's rating agency lowered U.S. Treasury debt rating to [AA.sup.+]. This is a significant blow to the U.S. credibility and left a historic blemish in its credit record. Theoretically, finance text books can no longer treat U.S. Treasury yield as a surrogate for Risk-Free rate. As a practical matter, the U.S, debt downgrade did not materially affect Treasury's borrowing cost. This is because of the Federal Reserve's willingness to supply abundant credit. Currently, bond market is treating this development as temporary and insignificant. However, some new dangers may yet lie ahead for public finances of several western nations as the new round of capital standards are enforced by Basel committee and the Volker rule under Dodd-Frank Bill is implemented in the U.S. While the western nations, in general, experienced weakening of their public finances, some nations like Canada, Germany, UK, and Brazil seem to be holding up quite well. Fiscal Fissures in the Eurozone The move to adopt a common currency with single monetary policy but without a commonly enforced fiscal discipline is flawed from the outset. Adopting a strong currency ([euro]), which is essentially a derivative of Deutsche mark does not help an economically weak member country to compete effectively in export markets. This relatively weak external trade position forces a nation to import more capital (mostly through the sale of debt instruments) to sustain itself. Continuation of status quo does not help the weak country to improve its competitive position. Continuously growing dependence on external capital inflows to cover its rising trade imbalances can only make the country fiscally unsound. Without an automatic punitive trigger, an economically weak country such as, Spain, Greece or Italy can get into a downward spiral without a proper recourse and can cause the bonds of currency union to rupture. Strong currency for an externally noncompetitive economy is no cure for its ills. The Eurozone has to rethink and redesign its economic union so as to foster an enduring harmony in their economic profiles. Sovereign Credit Quality A credit rating is simply a reflection of the borrower's ability and willingness to return the principal along with the interest to the lender. When the borrower and the lender are both legally domiciled in a single nation, it is convenient for the lender to assess and monitor the borrower's ability to pay. The legal system can act as an imposing deterrent to the laxity in payment. However, when the borrower and lender are separated by boundaries, the lender does not have as much enforcing power to motivate a less willing borrower to pay. In addition, if the borrower is a sovereign nation, a foreign lender (bond buyer) has little or no power to make an unwilling borrower to pay. Therefore, judging the borrowers willingness to pay is critical in assessing the credit risk of a sovereign borrower. A sovereign nation can get away with nonpayment in the name of national interest. History is replete with the examples from Greece, Central Europe, Russia, and Latin America. In international lending, legal recourse to the borrower is very limited at best. In light of these limitations, the buyers of sovereign debt are entirely dependent upon the country's capacity to pay and willingness to pay becomes a paramount importance. …

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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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.148
GPT teacher head0.355
Teacher spread0.207 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2013
Admission routes1
Has abstractyes

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