MétaCan
Menu
Back to cohort
Record W2253124131 · doi:10.1017/s0968565015000165

From Basel to bailouts: forty years of international attempts to bolster bank safety

2015· article· en· W2253124131 on OpenAlexaff
Christopher Kobrak, Michael Troege

Bibliographic record

VenueFinancial History Review · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBasel IIIBasel IOperational riskCapital requirementBasel IIRisk-weighted assetEconomicsMultitudeMarket liquidityBusinessRisk-adjusted return on capitalCapital (architecture)Financial systemFinanceRisk managementMarket economyLawPolitical scienceFinancial capitalCapital formation

Abstract

fetched live from OpenAlex

This article reinterprets the origin and evolution of the Basel Accords. We argue that the Basel I paradigm was very different from the regulatory approaches that had been applied successfully in most European countries since the Second World War. Banking systems relied on a multitude of tools including entry restrictions, liquidity rules, reserve requirements, deposit rate ceilings, lending and investment restrictions, combined with hands-on supervision and discretional interventions. By focusing exclusively on capital adequacy and credit risk, Basel I shifted attention in a very different and somewhat unexpected direction. The Basel regulations are often understood as a reaction to the bank failures of the 1970s and 1980s, but in fact their capital adequacy rules would not have prevented these failures. Indeed, even today, several of these risks are still not addressed by Basel updates, suggesting that the original and current proposals have a rather different raison d’être, placating political constituencies and banking interests.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.001

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 head0.052
GPT teacher head0.252
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations14
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueFinancial History ReviewSame topicBanking stability, regulation, efficiencyFrench-language works237,207