Bibliographic record
Abstract
This study tests the validity of the weak-form EMH on the Canadian TSX equity market using seven TSX daily index returns. Quantitatively, a variety of statistical tests is used to test for the randomness of return series. Results of the common statistical (i.e., the autocorrelation, the BG, the runs) tests all suggest that returns are serially correlated, except returns on the TSX 60 capped index. After rejecting the RWM of TSX indices using univariate unit root (i.e., ADF, PP, KPSS), we proceed to test for the possibility of nonlinear dynamic patterns present in return series. BDS results reject an IID underlying residual series after fitting AR(2) to TSX daily index returns, indicating that a deterministic chaotic process describes the data well. This finding of a temporal dependency is supported also by results of the R/S analysis, which indicates that all TSX index returns possess long-memory properties of an anti-persistent trend-reversing behaviour with two indices showing stronger degree of anti-correlation and five indices showing weaker degree of anti-correlation. Overall, results uniformly reject the RWM governing TSX equity index returns, implying that the Canadian equity market is weak-form inefficient.
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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 | 0.012 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".