Dividend Policy, Economic Value Added, Market β, Firm Size and Stock Return
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to analyze the Effect of Dividend Policy, Economic Value Added (EVA), Market β and Firm Size on Stock Return and the existence of Firm Size in moderating these effects of blue-chip stock category listed in Indonesia Stock Exchange (IDX) during 2015 up to 2019 period. This study is a confirmatory research involving secondary data collected from annual report available at IDX website. The sample used is purposive sampling and research object is Dividend Policy, EVA, Market β and Firm Size as independent variables and Stock Return as dependent variable, and Firm Size as moderates variable. The analysis is performed using E-views 11.0 version. The result shows that Dividend Policy has significant negative effects while EVA and Market β has no effect on Stock Return. In addition, Firm Size moderates the relation between Dividend Policy and Stock Return, while having no moderating effect to the relation between EVA, Market β and Stock Return. The findings of this research imply that, for high stock performance like blue-chip stock, Dividend Policy affects the Stock Return and Firm Size moderates this effect.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 it