The Impacts of Non-Performing Loans upon the Prices of Stocks in Jordanian Commercial Banks
Bibliographic record
Abstract
The purpose of this study can be seen through the major attention that was given to the problem of non-performing loans by the banking institutions. Such attention was given to this problem due to the several impacts it has upon commercial banks and which may extend to affect the whole banking system, the current study aimed at identifying whether there is a statistically significant impact for the non - performing loans upon the prices of stocks or not in Jordanian commercial banks at the significance level of (a = 0.05). This study was concerned with investigating the Jordanian commercial banking sector during the period of (2005 –2015). The current study has given great attention to this sector because it is considered as the most vital sector in the Jordanian economic system. This study also shows that there is need for training workers in applying the credit policy that is being adopted. Such training should raise the practical efficiency levels of those employees. The study also showed that banks’ control should be stricter and they should set more dissuasive penalties in relation to granting facilities without having adequate guarantees.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".