The impact of operational risk on profitability: Evidence from banking sector in the MENA region
Bibliographic record
Abstract
The aim of this paper is to explore the potential correlation among operational risk and the profitability of Islamic banks in the MENA region. Different measures for profitability were relied upon in previous studies, however, in this article depend on return on assets and return on equity to measure profitability, and efficiency ratio calculated by operating expenses to total assets to measure operational risk. To achieve this objective, the sample comprises 20 Islamic banks from 12 MENA countries, creating panel data for a period of ten years from 2011 to 2020. The analysis was conducted using fixed effect models. The study will analyze and interpret the findings from two financial performance measures, namely, ROA and ROE to get insights into the banks' overall financial situation and their ability to generate profits from their assets and equity. Using one type of operational risk measured by (efficiency ratio) as an independent variable, along with profitability measures by (ROA and ROE) as dependent variables. These measures had a significant negative impact by the operational risk measured by (efficiency ratio). This means when the operational risk increases, this indicates that the management is not controlling the operations of the bank in the best way and inability or failure of the bank's management to effectively utilize the available resources and assets to generate satisfactory profits. This leads to an increase in the operating expenses and hence a decrease in profitability measures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".