The role of the S&P/TSX Composite Index constituents in tracking the Canadian equity market
Bibliographic record
Abstract
In this study, we examine whether flexibility in stocks addition to and deletion from the S&P/TSX Composite Index enhanced its ability to act as a performance benchmark and represent the Canadian equity market. In May 2002, the first major change happened to the TSE 300 Index and the TSE 300 Index was converted to S&P/TSX Composite Index. Consequently, along with the new inclusion criteria the number of Index’s constituents were not forced to be exactly 300. To compare the Index’s two functions before and after the change, this study utilizes data from the 1992-2011 sample period. \nOur results suggest that the Index’s returns better replicates the equity market’s returns after May 2002 because the committee were able to add higher performing stocks and delete the poor performing ones. Furthermore, the Index represents the equity market better after the change mainly due to the higher capitalization of the survived stocks.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".