Characterizing World Market Integration through Time
Why this work is in the frame
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Bibliographic record
Abstract
Abstract International asset pricing models suggest that barriers to portfolio flows and availability of market substitutes affect the degree and time variation of world market integration. We use GARCH-in-mean methodology to assess the evolution in market integration for eight emerging markets over the period 1977–2000. Our results suggest that while local risk is still a relevant factor in explaining time variation of emerging market returns, none of the countries appear to be completely segmented. We find that there are substantial crossmarket differences in the degree of integration. The evolution toward more integrated financial markets is apparent although at times we do observe reversals. In addition, we provide clear evidence on the impropriety of directly using correlations of market-wide index returns as a measure of market integration. Finally, financial market development and financial liberalization policies play important roles in integrating emerging markets.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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