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Record W4405319923 · doi:10.17016/feds.2024.093

Duration of Capital Market Exclusion: An Empirical Investigation

2024· article· en· W4405319923 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

VenueFinance and Economics Discussion Series · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsBerger (Canada)
Fundersnot available
KeywordsDuration (music)EconomicsCapital (architecture)HistoryPhysicsAncient history

Abstract

fetched live from OpenAlex

This paper investigates the duration of market exclusion following a sovereign default and its resolution. We employ multiple definitions of market access, differentiating between gross versus net borrowing and partial versus full access, to measure the time it takes for countries to regain entry into international capital markets following a sovereign default and resolution. Our findings indicate that market re-access can occur immediately under less stringent definitions but may take several years when more demanding criteria are applied. Middle-income countries typically regain access more quickly than low-income nations, with significant variation across historical periods. Key factors influencing re-access include the occurrence of natural disasters prior to the default, the presence of an IMF program, the severity of investor losses, the country’s economic outlook, and global liquidity conditions. These findings contribute to the academic literature on sovereign defaults and inform the design of effective post-default support strategies by policymakers and international financial institutions.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.565

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 communication0.0000.002
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 head0.235
Teacher spread0.209 · 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