Resilience and performance of Islamic and conventional banks amid oil price uncertainty
Bibliographic record
Abstract
The influence of religiosity on stock price performance continues to be a subject of debate, particularly in dual banking systems, where Islamic banks (IBs) operate alongside conventional banks (CBs). This study uses an extensive dataset and applies a recursive window-based asymmetric VAR-GARCH-in-mean-BEKK model to examine the impact of oil price uncertainty (OPU) on IBs and CBs' stock returns in net oil-exporting (Egypt, Indonesia, Kuwait, Nigeria, Oman, Qatar, Saudi Arabia, and the UAE) and oil-importing (Bangladesh, Jordan, Pakistan, and Turkey) countries. Although the findings provide partial insights into IB resilience, they are inconclusive enough to holistically confirm the superiority of either IBs or CBs. This study contributes to the existing literature and emphasizes the need for further investigation of these dynamics. Understanding the effect of OPU on bank profitability is essential for long-term investors, policymakers, and those involved in regulatory reforms focused on promoting economic growth, profitability, and risk management within a dual banking system.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".