The impacts of earnings volatility, net income and comprehensive income on share Price: Evidence from Indonesia Stock Exchange
Bibliographic record
Abstract
This study aims to estimate and predict the effect of stock prices on profit volatility, net profit, and comprehensive income on the Indonesia Stock Exchange for the period 2014-2019. The study uses quantitative analysis with secondary data consisting of 98 banking companies on the Indonesia stock exchange from 2014 to 2019. The results prove that the share price has a significant effect on net income and comprehensive income but does not have a significant effect on profit volatility, so that net and comprehensive income has relevance to the share price and investors can make both variables in conducting further fundamental research. Previous studies measured the level of volatility of earnings, net income, and comprehensive income on the share price, but when trialing other approaches by causality, share prices affect net income and comprehensive income but not for profit volatility. In this study, however, the change includes detailed income variables due to Financial Accounting Standard No. 1, a shift in terms from profit and loss statements to systematic profit and loss statements.
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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 | 0.003 |
| 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 | 0.001 |
| 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".