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Record W3122495625 · doi:10.1111/1468-036x.00155

The Effects of Liberalisation on Market and Currency Risk in the European Union

2001· article· en· W3122495625 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Financial Management · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Risk and Volatility Modeling
Canadian institutionsMcGill University
Fundersnot available
KeywordsLiberalizationForeign exchange riskEuropean unionEconomicsRisk premiumAutoregressive conditional heteroskedasticityCurrencyMonetary economicsFinancial economicsMarket riskAsset (computer security)International economicsBusinessEconometricsVolatility (finance)Market economy

Abstract

fetched live from OpenAlex

This paper investigates the effects of liberalisation on the pricing of market and currency risk for a number of financial markets in the European Union (EU). An International Asset Pricing Model with a multivariate GARCH‐in‐Mean specification and time‐varying prices of risk is used for the four markets with the largest capitalisation in the EU. Only one price of market risk exists and international investors are rewarded for their exposure to currency risk. The evidence shows that all prices of risk are time‐varying and have been decreasing during the process of liberalisation. There is also evidence that markets react to period of uncertainty in the process toward the completion of liberalisation. In addition, the operation of the European Monetary System has generated lower covariances. As a consequence, total risk premia have declined in the last decade.

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.

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)0.005
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 head0.014
GPT teacher head0.196
Teacher spread0.182 · 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