The Impact of Covid-19 on Financial Performance and Share Price on Cigarette Companies Listed on Indonesia Stock Exchange (IDX)
Bibliographic record
Abstract
This study aims to determine and analyze differences in financial performance and stock prices before and after Covid-19 incigarette companies. Financial performance in this study is measured using three ratios namely Return on Asset (ROA), OperatingProfit Margin (OPM) and Net Profit Margin (NPM). The data used in this study is secondary data from the type of financialstatements of Cigarette Companies from the Indonesia Stock Exchange (IDX) website and the official website of cigarettecompanies, and the sampling method used is sampling census because the samples used in this study are the financial statements ofthe entire population of Cigarette Companies registered with the IDX in the third quarter of 2019 to the fourth quarter of 2020. Theanalysis method in this study is the wilcoxon test using SPSS 26. Based on the results of research obtained show Return on Assets(ROA), Operating Profit Margin (OPM) and stock price showed no significant differences before and after Covid-19. Net ProfitMargin (NPM) shows significant differences before and after Covid-19. To find out and analyze the state of cigarette companies inthe Covid-19 pandemic and also as a consideration for investors and business people in policy making
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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) | 0.004 | 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".