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Record W6980027529

Are foreign exchange rates only affected by U.S. and domestic news?

2017· other· en· W6980027529 on OpenAlexaboutno aff

Bibliographic record

VenueOsuva (University of Vaasa) · 2017
Typeother
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsExchange rateForeign exchangeUnemploymentForeign exchange marketGlobalizationForeign exchange riskIndex (typography)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to determine whether foreign exchange rates are affected by macroeconomic announcements from economies other than Unites States and homelands. The motivation is the economical interaction increase in current globalization trend, while most previous literatures focus on the influence of domestic economic information and the international influence of Unites States on the foreign exchange market.\n\nThis paper investigates respectively the responses of seven major currencies (EUR/USD, GBP/USD, USD/JPY, USD/CHF, USD/CAD, AUD/USD and NZD/USD) to macroeconomic announcements (Gross Domestic Product, Consumer Price Index and Unemployment Rate) from eight corresponding economies United States, Euro Zone, United Kingdom, Japan, Switzerland, Canada, Australia and New Zealand. The period covers from 1st January 2011 to 31st December 2015.\n\nEvidences of the responses of exchange rates and trading volumes are provided in this paper. Firstly, most but not all foreign exchange rates are affected by U.S. and domestic macroeconomic announcements. Secondly, the foreign exchange rates are affected also by macroeconomic announcements from economies other than United States and homeland. Thirdly, the trading volumes emerge the peak effects around the release time of certain announcements, but the quantitative analysis cannot provide meaningful evidences.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.144
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.248
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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