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Record W3016803959 · doi:10.3390/jrfm13040073

Global Bank Capital and Liquidity after 30 Years of Basel Accords

2020· article· en· W3016803959 on OpenAlexvenueno aff
Harald Benink

Bibliographic record

VenueJournal of risk and financial management · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial systemBasel IIIMarket liquidityCapital requirementBusinessCapital adequacy ratioCapital (architecture)Financial crisisRisk-adjusted return on capitalBasel IRisk-weighted assetBasel IIFinanceFinancial capitalEconomicsCapital formationEconomic growthMarket economyMacroeconomicsHuman capital

Abstract

fetched live from OpenAlex

In this paper we analyze the effectiveness of more than 30 years of efforts by international banking supervisors, working together in the Basel Committee on Banking Supervision, to harmonize capital and liquidity standards for internationally active banks. Notwithstanding the great efforts and progress made by international banking supervisors since the financial crisis of 2007–2009, two important issues require further attention. First, although bank capital ratios have been raised significantly since the recent financial crisis, they are still at historically low levels. In a world in which global debt ratios have risen even further during the past decade, this is a worrying signal of fragility in the global financial system. Second, bank liquidity requirements may have become too complex and could also have unintented and unpredictable interaction effects with bank capital requirements.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.199
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2020
Admission routes1
Has abstractyes

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