The Effects of Financial Performance on Stock Returns: Evidence of Machine and Heavy Equipment Companies in Indonesia
Bibliographic record
Abstract
This study was made to determine the effect of Current Ratio (CR), Total Assets Turnover (TAT), Return on Assers (ROA), Debt to Equity Ratio (DER) on stock returns in the machinery and heavy equipment sub-sector companies listed on the Stock Exchange Indonesia (IDX) in the period 2014 - 2018. Stock returns are calculated based on changes in closing stock prices and estimated influence of financial performance factors using the panel data regression method. Based on empirical findings show that financial performance that has been proxy using; CR, TAT, ROA, and DER do not affect stock returns. The results of the study have implications that the company's financial performance is not an important consideration for investors in the decision to buy shares in the Machinery and Heavy Equipment sub-sector company. In many studies, stock prices are much influenced by macroeconomic variables, such as; exchange rates, inflation, interest rates, and oil 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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".