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Record W2407166067 · doi:10.5539/ijef.v8n6p166

Financial Information Influencing Commercial Banks Profitability

2016· article· en· W2407166067 on OpenAlexvenueno aff
Dhiaa Shamki, Ibrahim Khalaf Alulis, Karima Sayari

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsProfitability indexCapital adequacy ratioReturn on equityReturn on assetsBusinessCommercial bankFinancial systemFinanceEconomicsMonetary economicsProfit (economics)

Abstract

fetched live from OpenAlex

<p>The paper investigates the influence of bank capital ratio, size and loans on the profitability of a commercial bank in Jordan. It also evaluates whether returns on Assets (ROA) or returns on equity (ROE) is the better indicator that reflects bank profitability. Two Multiple regression models are used to test the influence of capital ratio, size and loans of a commercial bank on its profitability indicators measured by ROA and ROE and to detect the superiority between the two indicators for 13 Jordanian commercial banks for the period 2005-2013. The results of the study showed that capital ratio, size and loans have insignificant influence on ROA, but not on ROE except bank size. Regarding ROE, significant negative and positive influence for capital ratio and loans respectively are concluded. Although the small number of commercial banks in Jordan and some variables have not been well researched in literature, the paper presents a sight to associate bank performance/profitability proxied by ROA and ROE with its capital ratios, size and loans. Our results might assist bank management to capitalize the factors that could improve banks performance and hedge against the adverse factors.</p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.015
GPT teacher head0.220
Teacher spread0.205 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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