The Impact of Macroprudential and Monetary Policies Instruments on the Private Credit Growth in the Arab Banking Sector
Bibliographic record
Abstract
This paper investigates the potential impact of the macroprudential instruments, namely debt-to-income (DTI) ratios, the loan-to-value (LTV) on controlling the private credit growth in the Arab banking system, and we also attempt to examine the effects of the monetary policy instruments on private credit growth by using Generalized Method of Moments (GMM) technique. We measure the effect of loosening or tightening these instruments on the growth of the private credit using a sample covers ten Arab countries based on quarterly data for the period (2014-2019). The results reveal that the macroprudential policy tools have the power to control the private credit growth, as the effects of tightening the DTI and the LTV ratios appear directly after one quarter, while the change of the monetary policy tools and the required reserve ratio have a negative impact on the private credit growth, and their effects appear after two quarters and one quarter respectively. Finally, the results show that there is no evidence of significant impact of the economic variables on credit growth.
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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".