The Effect of Dividend Policy on the Market Value of the Jordanian Commercial and Islamic Banks Listed on the Amman Stock Exchange
Bibliographic record
Abstract
This study aims at examining the effect of Dividend Policy on the market value of Jordanian commercial and Islamic banks. The study population consists of all Jordanian banks listed on the Amman Stock Exchange during the period from 2008 – 2018. Data were collected from the annual reports of the sample banks. After the data collection, they were analyzed using descriptive analysis, correlation analysis, and multiple regression analysis. The results showed a statistically significant impact of dividend policy, this result indicates that there is an impact of the dividend policy on the market value of Jordanian commercial and Islamic banks listed on the ASE during the period 2008-2018. The results also showed a difference between the companies in terms of dividend policy followed, in addition, asymmetry in the Dividend Policy in banks during the study period. The study recommended a number of recommendations, including that manager of firms, should develop effective dividend payout policies to ensure that their firms pay out dividends to enhance the value of their companies and plan an efficient and reliable dividend policy, to suit the wishes of investors, and to engage stakeholders in a dialogue on dividend policy.
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".