Volatility Spillovers between Equity and Bond Markets: Evidence from G7 and BRICS
Bibliographic record
Abstract
This study implies the causality-in-variance test newly developed by Hafner and Herwartz (2006) to investigate the volatility spillovers between domestic equity and bond markets in the G7 and BRICS countries. The empirical result shows that there is ethier unidirectional or bidirectional spillover effect in every developed market and weak evidence for Russia in both directions. In details, there is bidirectional volatility spillovers between the equity and bond markets in France, Brazil and South Africa, and unidirectional spillovers from the bond to the equity in the US, UK and Germany at 1% level of significance. However, no rigorous conclusions could be drawn by the LMGARCH model in the case of Japan, Italy, Canada, India and China. This has important implications for domestic cross-market portfolio allocation and risk management in both developed and emerging markets.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".