The impact of domestic portfolio diversification strategies in Toronto stockexchange on Canadian textile manufacturing industry
Bibliographic record
Abstract
The aim of this research study is to examine the impact of domestic portfolio diversification strategies in Toronto Stock Exchange (TSX) on Canadian textile manufacturing industry in order to obtain attractive investment opportunities. Dissipation of benefits of globally diversified portfolios due to overwhelming convergence among the international and regional stock markets around the globe have given rebirth to the idea of domestic portfolio diversification particularly after the global financial crisis of 2008. Textile industry in Canada is challenging but can achieve higher performance based on Toronto Stock Exchange behavior. Therefore, this is a complex applied research focused on investigating TSX as standalone stock market for domestic diversification opportunities. For this purpose, correlation coefficients, pairwise cointegration, multiple cointegration and causality of sectors in TSX have been examined. The empirical results show that majority of the sectors in TSX do not share high correlation with each other and they are also not highly cointegrated. These empirical findings indicate that TSX presents attractive opportunities for domestic portfolio diversification.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".