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Record W3122243002

The impact of the 1988 Basel Accord on banks' capital ratios and credit risk-taking: an international study

2005· preprint· en· W3122243002 on OpenAlexaboutno aff
Patrick Van Roy

Bibliographic record

VenueRePEc: Research Papers in Economics · 2005
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsRisk-weighted assetCapital requirementBasel IIBasel ICredit riskRisk-adjusted return on capitalCapital adequacy ratioCapital (architecture)Basel IIIOperational riskEconomic capitalBusinessEconomicsFinancial systemActuarial scienceMonetary economicsRisk managementFinanceFinancial capitalCapital formationMicroeconomicsMarket economyHuman capital
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to see whether and how G-10 banks have complied with the 1988 Basel Accord. The interest of this study lies in the fact that the standardized approach to credit risk in the New Basel Accord is conceptually similar to the 1988 agreement. However, very little is known about the reaction of non-US banks to the imposition of minimum capital requirements that make use of risk-weight categories. Building on previous studies, this paper uses a simultaneous equations model to analyze adjustments in capital and credit risk at banks from G- 10 countries over the 1988-95 period. The results show that regulatory pressure was successful in raising the capital to assets ratios of undercapitalized banks in Canada, Japan, the UK and the US but not in France and Italy. In addition, there is no evidence that undercapitalized G-10 banks increased or decreased their credit risk over the period studied. Interestingly, these findings are robust to the inclusion of a variable measuring the role of market discipline in influencing bank capital and risk choices. All in all, the results suggest that the 1988 Basel standards were effective in that, subsequent to their adoption, undercapitalized G-10 banks generally increased their capital but not their credit risk.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.042
GPT teacher head0.330
Teacher spread0.288 · 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 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

Citations9
Published2005
Admission routes1
Has abstractyes

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