The effects of conventional and unconventional monetary policy on exchange rate volatility
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Bibliographic record
Abstract
This paper examines the impacts of U.S. conventional and unconventional monetary policy announcements on the volatility of six exchange rates, namely Australian dollar, British pound, Canadian dollar, Euro, Japanese yen, and Swiss franc against the U.S. dollar. Narrow windows around policy announcements and high frequency second-by-second intraday data are used in the analysis. Results show that the exchange rate volatility increases significantly in the narrow window before and after the announcements under conventional monetary policy regime. The increase in the volatility is even greater during the contemporaneous period under the unconventional regime. Dividing monetary policy announcements into expansionary and non-expansionary groups, we further find that exchange rate volatility responds stronger to the non-expansionary announcements compared to the expansionary ones under the unconventional monetary policy regime.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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