Do Oil Price Fluctuations Alter the Exchange Rate in Japan?
Bibliographic record
Abstract
Determinants of exchange rate fluctuations have long been a topic of interest for the economists. Although there exists a large number of studies that attempt to decipher the exact relationship between the price of oil and exchange rate, a clear answer still remains absent. Most studies suffer either from ambiguous findings or from the severe limitations stemming from the assumption of non-stationarity. In this chapter, the relationship between oil price differentials and real effective exchange rate of Japan is thoroughly investigated by utilizing sophisticated research tools that provide additional degree of rigor to the results. Maximal Overlap Discrete Wavelet Transform (MODWT) is used to decompose the time series into different frequencies and then the relationship between the two series at different time frequencies are examined with the use of standard econometric techniques. This chapter finds that international oil prices vibrate the exchange rate at the short term frequency bands. However, no evidence of causal relationship is found at the lower time scales, although such evidence is found at higher time scales.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".