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Record W4412773017 · doi:10.5539/ijef.v17n8p147

Risk Management in Lebanese Banks – Relationship with Financial Performance

2025· article· en· W4412773017 on OpenAlexvenueno aff
Ghada Y. Shami, Hasan H. Kanso, Hasan El-Mousawi

Bibliographic record

VenueInternational Journal of Economics and Finance · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessFinancial systemFinance

Abstract

fetched live from OpenAlex

The banking sector has always had a spontaneous comprehensiveness of risk, mainly risks that arise from the increased diversity and complications of banking business and from the countless new drivers of development that encouraged the outlines of risk management in banks beyond what probably have been available in the more traditional forms of banking activity of taking deposits and loaning in comparatively steady environments. There exists a lot of pressure for procedures towards risk management at Lebanese banks, which had paced forward in this field between 2013 and 2017. This research paper studies the effect of new variations in risk management Basle III Accords on banks’ performance. Since this change came in an attempt to strengthen global capital, they have introduced the safety credit margins and financial leverage rates and introduced indicators for liquidity risk management in order to provide banks with better performance during pressure and crises periods. Two hypotheses were tested on a sample of banks taking variables into account, such as profitability and growth ratios with credit quality and liquidity ratios. The researchers used two regression models to test the hypotheses, and the study results had supported the hypotheses. Findings of the first empirical study exhibited a negative relationship between performance as relative to profitability (ROA, ROE) and the management of credit risk as relative to non-performing loans and loss of reserves. The results show a positive relationship between capital adequacy and credit risk, since better managing of defaulted loans increased capital adequacy. However, the results of the second empirical study presented a positive association between performance as relative to Equity growth & Assets growth with the liquidity risk management as relative to Liquidity ratios, loans to deposits, yet not as strong as the first test since the variables used explain a minor portion of the disparity of the performance measures.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.202
Teacher spread0.194 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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