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Do Oil Price Fluctuations Alter the Exchange Rate in Japan?

2013· book-chapter· en· W2504686924 on OpenAlexaff
Nasim Sydee, Gazi Salah Uddin

Bibliographic record

VenueAdvances in electronic government, digital divide, and regional development book series · 2013
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsExchange rateEconometricsEconomicsOil priceSeries (stratigraphy)Effective exchange rateMathematicsMonetary economicsGeology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.196
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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