The Impact of Tax Amnesty Announcement towards Share Performance and Market Reaction in Indonesia
Bibliographic record
Abstract
The Indonesian Government reviewed back the tax amnesty in 2016. Various reactions came up along with the announcement of tax amnesty, the investors did not accept- which led to the announcement of the Tax Forgiveness regulation through the market reactions and stock market performances in Indonesia Stock Exchange. This research is to analyze event study using information based on government-related announcements to show the impact of the new regulation towards stock performance and market reaction. The effect of the announcement will be seen from the changes in stock-prices or stock-returns that provide abnormal returns in the event period as well as market reaction which reflected in trading volume. This research used stock-return data and trading volume from all companies listed in IDX in 2016 and analyzed using the Paired Sample T-Test method. The result of this research shows there are differences among the average of stock-return, average abnormal-return of stock, and stock trading volume before and after the tax amnesty announcement.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".