Investigating beta anomaly: comparison of Shariah-compliant and conventional stocks
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the impact of dividend announcements on the stock return of Shariah-compliant and conventional stocks. Design/methodology/approach An event study methodology is applied to study the beta anomaly. Market-adjusted return model, mean-adjusted return model and market model have been applied to calculate excess returns. Estimation period used in this study is 130 days, and event period consists of 21 days in total, i.e. starting from the day –10 “before the cash dividend announcement” to day +10 “after the cash dividend announcements. Findings It has been concluded from the results that dividend plays an informational role in the Pakistan Stock Exchange. As the investors in Pakistan react favorably to the dividend increase announcements and unfavorably to the dividend decrease announcements, they consider dividend increase announcement as good news and dividend decrease announcement as bad news. Practical implications The findings of this study have several implications for different participants of the stock market, such as investors, academicians, researchers, fund managers and policymakers. They can use this information to make decisions while making efficient portfolios. Investors may get abnormal returns by focusing on the dividend announcement patterns. This can influence the attitude of investors toward efficient investments in the stock market and ultimately contribute to the betterment of society. This study is also beneficial for academicians and researchers, as it provides a comparative analysis of Shariah-compliant and conventional stocks and the anomalous effect of dividend announcements on stock return. Originality/value Limited research in the world’s context and null is available in Pakistani context on the subject matter. The comparative analysis of “Shariah-compliant” and “conventional” stocks provides insight into the asset pricing of Shariah-compliant stocks that have not been explored earlier. This study also uses three different methods (mean model, market model and market-adjusted return models) to compare Shariah-compliant and conventional stocks
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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".