How Much Globalization Is There in the World Stock Markets and Where Is It?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Globalization, as the process of integration of national economies into the international economy through trade, foreign direct investment, capital flows, migration and the spread of technology, has been analyzed by academic literature in different manners.Anyway a comprehensive analysis in a worldwide perspective that compares all the main stock markets' performances in a long term period misses.In this paper, the authors try to fill this gap by a correlation analysis applied to stock exchange market indexes.This methodology is implemented in order to highlight the dynamic trend of financial market globalization.The paper investigates the degree of association of weekly returns for 53 international stock exchanges from 1995 to 2010 in a year-by-year approach, trying to evaluate how the average correlation through national stock indexes changed by the time.Moreover, an analysis of single geographical areas (North America and Canada, Latin America, Asia and Oceania, Northern Europe, Eastern Europe and Western Europe) has been done in order to test the hypothesis that globalization follows a homogenous (or heterogeneous) path.Results suggest an upward globalization trend that is developing at an increasing growth rate.Furthermore, an analysis of single geographical areas supports the hypothesis that globalization is a heterogeneous phenomena where different cluster of countries are engaged in different manners.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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