Bibliographic record
Abstract
This objective of the study is to investigate effect of dividend per share (DPS) , earning per share (EPS), and return on equity (ROE) to syariah stock price in Indonesian Stock Exchange. The Hypothesis are tested applying single regression model, which stock price are regressed with dividend per share, earning per share, and return on equity. Stock price are independend variable and dividend per share, earning per share, and return on equity as a dependen variable. Stock price are measure using the valuation model, which average price from beginning and ending years for observation 2016-2018. The study uses the samples 109 syariah stock listed on the Indonesian Stock Exchange for observation period of 2016-2018. The classical test are developed to test Autocorellation test, multicollinearity test. The t-test and F-test used to hypothesis test. The result of this study supported the proposed hypothesis that show that hypothesis 1,2, are received and hypothesis 3 are rejected. This study show that dividend per share, earning per share, and return on equity have effect to syariah stock 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 | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".