Official Japanese Intervention in the JPY/USD Exchange Rate Market: Is It Effective and Through Which Channel Does It Work?
Bibliographic record
Abstract
This paper investigates whether official Japanese intervention in the JPY/USD exchange rate over the January 1999 to March 2004 time period is effective. By integrating the official intervention data with a comprehensive set of newswire reports capturing days on which there is a rumor or speculation of intervention, the paper also attempts to shed some light on through which of the two channels, the signaling channel in a broad sense or the portfolio balance channel, effective Japanese intervention works. The results suggest that Japanese intervention is effective during the first 5 years of the sample and ineffective during the last 3 months of the sample, thereby providing an ex-post rationale for why Japan intervened as well as for why the interventions stopped. Moreover, the results suggest that when Japanese intervention is effective, it works through a portfolio-balance channel. The results do not rule out that effective intervention also works through signaling.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; both teacher heads agree on what is shown here.
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".