An Influence of Canada Stock Market Factor on the Two Stock Market Returns: Study of the Hong Kong and the Singapore's Stock Markets
Why this work is in the frame
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Bibliographic record
Abstract
The empirical results show that the dynamic conditional correlation (DCC) and the bivariate asymmetric-IGARCH(1, 2) model is appropriate in evaluating the relationship of the Hong Kong and the Singapore's stock markets. The empirical result also indicates that the Hong Kong and the Singapore's stock markets is a positive relation. The average estimation value of correlation coefficient equals to 0.6619, which implies that the two stock markets is synchronized influence. Besides, the empirical result also shows that the Hong Kong and the Singapore's stock markets have an asymmetrical effect, and the variation risks of the Hong Kong's stock market return also receives the influence of the good and bad news in Hong Kong. And the variation risks of the Hong Kong's and the Singapore's stock market return also receives the influence of the Canada stock market.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it