Global and regional linkages across market cycles: evidence from partial correlations in a network framework
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
Using a novel approach, partial correlations within a complex network framework, we examine the degree of globalization and regionalization of stock market linkages and how these linkages vary across different economic or market cycles. Our results show that geography influences network linkages differently across economic cycles. During normal times, regional factors shape market linkages; however, during periods of turbulence, global rather than regional factors drive the linkages. The network traffic also increases during times of turmoil, but contrary to previous results, we do not find a consistent or overwhelming increase in positive linkages between markets. Also, contrary to expectations, financial centres such as the US, China, Japan, and the UK command a greater regional rather than global influence. Our findings have implications for asset pricing and policy decision making.
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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) | 0.000 | 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 | 0.001 |
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