The Influence of ROA and CAR on Stovk Price with Interest Rates As Intervening Variables (Case Study of Bank Rakyat Indonesia Tbk Company) (PERIOD 2010 -2020)
Bibliographic record
Abstract
This research was conducted with the aim of empirically examining the effect of Return on Assets (ROA), and Capital Adequacy Ratio (CAR), partially on stock prices with the intervening variable interest rates in the banking company (Bank Rayat Indonesia Tbk). In addition, this study empirically examines the effect of ROA, CAR, and interest rates simultaneously on the stock price of Bank Rakyat Indonesia Tbk. In this study the authors used quantitative research with an associative approach. Types of secondary data from Quarter I 2010- Quarter IV 2020 data taken from Bank BRI's website on the IDX. Data analysis used classical assumption test, simple linear regression analysis, multiple linear regression analysis, hypothesis testing and path analysis. For the coefficient of determination (R2), where it is found that the greatest direct contribution is the interest rate variable to the stock price of 50.1%, while the indirect contribution is ROA and CAR to stock prices through interest rates of 0.513 or 51.3%.
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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) | 0.002 | 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".