The impact of economic policy uncertainty and commodity prices on CARB country stock market volatility
Bibliographic record
Abstract
This paper investigates the impact of economic policy uncertainty shocks and shocks to commodity prices on the realized stock market volatility of the CARB (Canada, Australia, Russia, and Brazil) countries. The CARB countries are important countries to study because they are major commodity exporters. The analysis is conducted using sign restricted impulse response functions (IRFs) and structural vector-autoregressive IRFs. There are some common results across the CARB countries. A positive shock to commodity prices lowers realized stock market volatility while a shock to economic policy uncertainty has a significant positive impact on realized stock market volatility. The magnitudes of the initial impact of these two shocks are similar. Shocks to global economic activity and short-term interest rates lower realized stock market volatility. The impacts of these shocks are more pronounced in models that use sign restrictions. These results have implications for investors and policy makers.
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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 | 0.001 | 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 | 0.001 | 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".