Dividend Announcements of Banking Sector in Gulf Area; Pre, During and Post the Recent Global Financial Crisis
Bibliographic record
Abstract
This research aims to analyze the movement of dividend policy announcements impact on share prices, and the performance of all listed banks in Gulf area pre-during-post the financial crisis. This research has positioned and utilized event study method, and dividend pay-out ratio to evaluate the movements in share prices of two event windows for 65 banks (All listed banks) from 2005 to 2013. The main results for this research showed that there is a strong signaling effect since most of the windows show positive impact of dividend announcements on the CAARS. Likewise, there can be equally significant lifecycle impact since the large banks show different pay out pattern as compared with the small banks. Moreover, there has been steady dividend pay by banks at an average even in the crisis periods. In addition, a proportion of payers have increased as compared to the non-payers over years, which is related to both life cycle and competition theories. The last finding presents that banking sector in the GCC countries have not been affected like other emerging countries during the global financial crisis, because they supported by oil prices.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".