Pengaruh Variabel Makroekonomi Terhadap Return Saham Sektor Keuangan di Indonesia
Bibliographic record
Abstract
The purpose of this study was to determine the effect of macroeconomic variables on stock returns in the financial sector in Indonesia. The indicators of macroeconomic variables studied were world gold price, exchange rates, inflation, an economic growth. This study uses secondary time series data from 2005 first quarter to fourth quarter 2019. The research data analysis method used is multiple linear regression analysis and Error Correction Model (ECM). The result oh this study indicate that : (1) the world gold price has a negative effect on the stock return of the financial sector in Indonesia; (2) the exchange rate has a negative effect on the stock return of the finacial sector in Indonesia; (3) inflation has a negative effect on stock return for the financial sector in Indonesia; (4) economic growth has a negative effect on the stock return of the finacial sector in Indonesia.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".