Transmission of Information of the Indonesian Dual Listed Shares
Bibliographic record
Abstract
Various studies have been carried out in relation to the behavior of dual listing stock prices, unfortunately, study on the effects of changes in dual listing stock prices on the Indonesia Stock Exchange (IDX) is still limited. Differences in trading time and stock exchange class between one stock exchange with another in different countries raise an opportunity for the accumulation of information when one of the exchanges is experiencing a closing trading period. Indonesian companies such as PT. Telekomunikasi Indonesia (Persero) Tbk. (TLKM) whose shares are listed on the New York Stock Exchange (NYSE) and IDX experience the difference in time of their transaction which can affect the shares on the NYSE and on the IDX. This study conducted by using daily data from January 2018 to December 2018. This study found that there is a significant effect of changes in TLKM stock prices on the NYSE in (t-1) period to changes in TLKM stock prices on IDX in t-period. This finding proves that there was the existence of transmission of information between the stock exchanges utilized by investors.
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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 | 0.006 |
| 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 | 0.000 |
| 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".