Analysing portfolio diversification opportunities in selected stock markets of North and South America and their impact on the textile sector: An empirical case study
Why this work is in the frame
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Bibliographic record
Abstract
This empirical study investigates the financial integration linkages among the sample stock markets of Canada, Mexico,United States (for both New York Stock Exchange, i.e. NYSE and NASDAQ), Panama, Brazil, Chile, Peru, Venezuela,Jamaica, Trinidad, and Tobago during the period from January 2001 to April 2019. This research study also examinesthe impact of selected stock market dynamics on the textile sector. International portfolio diversification has been animportant subject of research in financial fraternity since the emergence of Modern Portfolio Theory in 1952. This studyexamines the portfolio diversification opportunities in the 11 stock markets of Americas.International diversificationamong stock market indices has proven to be fruitful in the past. Certain tests have been used to determine opportunitiesfor diversification are correlation test, pairwise co-integration test, multiple co-integration test and granger causality test.The empirical results show that stock market indices share low correlation among other and they are not highlyco-integrated whereas results of Granger causality test exhibit an unidirectional relationship among few stock marketsin short run.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it