Bibliographic record
Abstract
Abstract This paper examines the role of the European Central Bank (ECB) communication activities on daily eurodollar exchange rate and interest rates. We estimate the relationship between monetary policy and the exchange rate using a technique that explicitly recognizes the joint determination of both the levels and volatilities of these variables. We also consider more traditional estimation strategies as a test of the robustness of our main results. We introduce a new indicator of ECB communication policies that focuses on what the ECB says about the future economic outlook for the euro area along five different economic dimensions. The impact of the ECB communication policies is more apparent in the time‐series framework than in the heteroskedasticity estimator approach. Time‐series estimates reveal that interest rate changes generally have a much larger impact on exchange rate movements, and their volatility, than do ECB verbal pronouncements. Previous studies that conclude that news effects are significant at the daily frequency may have reached such a conclusion because the measurement of news was too highly aggregated. The endogeneity of the exchange rate–interest rate relationship is more apparent when the proxy for monetary policy is the euro area–US differential than when any other proxy for monetary policy is employed. Copyright © 2007 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".