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Record W2343290266

Does CIA occur during financial turbulence

2015· article· en· W2343290266 on OpenAlexaboutno aff
Ariful Hoque, Kamrul Hassan, Chandrasekhar Krishnamurti

Bibliographic record

VenueMurdoch Research Repository (Murdoch University) · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsLiberian dollarArbitrageFinancial marketFinancial crisisEconomicsDevaluationMonetary economicsFinancial systemCurrencyBusinessFinanceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

This study exploits the covered interest arbitrage (CIA) possibility when the European market experienced financial crisis. The deviation of covered interest parity (CIP) test is conducted for the major currencies against the Euro. We find that the CIA opportunity arises for Australian dollar (AUD), Canadian dollar (CAD), and Japanese yen (JPY) in the volatile European financial crisis market. However, the CIA possibility does not exist for the British pound (GBP) and US dollar (USD)during the European financial turbulence. The findings of this study show that the currency market participants, particularly the arbitrageurs can make profit using major currency markets other than GBP and USD when financial turbulence occurred in the Euro zone. It indicates that GBP and USD behave as stable currencies in the context of CIA possibility during financial market disaster.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.147
GPT teacher head0.259
Teacher spread0.112 · 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 designNot applicable
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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