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Record W3124705276 · doi:10.51240/jibe.2004.1.5

The Stochastic Character of Japanese Exchange Rates

2004· article· en· W3124705276 on OpenAlexaboutno aff
Nikiforos T. Laopodis

Bibliographic record

VenueJournal of International Business and Economy · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Risk and Volatility Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsLiraEconomicsVolatility (finance)EconometricsUs dollarReciprocalAutoregressive conditional heteroskedasticityGermanLiberian dollarFinancial economicsPound (networking)Volatility swapExchange rateMonetary economicsImplied volatilityPhilosophyLinguisticsFinance

Abstract

fetched live from OpenAlex

The paper explores the stochastic character of six yen exchange rates with respect to the Canadian dollar, French franc, Italian lira, German mark, British pound and the US dollar for the 1973-2002 periods. The methodological design is the multivariate Exponential GARCH model, which is capable of capturing asymmetries in the exchange rate volatility transmission mechanism. The results point to significant reciprocal and positive volatility spillovers after the Plaza Accord of 1985. Furthermore, the finding of absence of asymmetry in the same period implies that bad and/or good news in a particular market positively and equally affects volatility in the next market.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.236

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)0.0000.000

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 head0.024
GPT teacher head0.231
Teacher spread0.207 · 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 designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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