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Record W3203776851 · doi:10.1177/09726527211045759

Competition and Banking Industry Stability: How Do BRICS and G7 Compare?

2021· article· en· W3203776851 on OpenAlexaff
Abayomi Oredegbe

Bibliographic record

VenueJournal of Emerging Market Finance · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsStability (learning theory)CapitalizationEconomicsCompetition (biology)Profitability indexEmerging marketsInefficiencyInflation (cosmology)Price of stabilityMonetary economicsMonetary policyMacroeconomicsMarket economyFinanceBiology

Abstract

fetched live from OpenAlex

This study examines banking industry stability in BRICS and G7 from the period 2005 to 2014. The results show that stability level in a prior period affects stability in the subsequent period. Also, the study reveals that competition improves stability, which validates the competition-stability proposition. Economic growth enhances stability in BRICS but not in G7. Inefficiency weakens stability in BRICS; however, its impact in G7 is insignificant. Profitability, capitalization, and inflation enhance stability in G7; however, they show no meaningful impacts in BRICS. These findings contribute to literature and policy discussion on banking industry stability JEL Codes: G21, G28, G32, L11

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.025
GPT teacher head0.228
Teacher spread0.203 · 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.

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

Citations8
Published2021
Admission routes1
Has abstractyes

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