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Record W2621260887 · doi:10.15173/esr.v19i2.540

Further evidence on the time-varying efficiency of crude oil markets

2012· article· en· W2621260887 on OpenAlex
Chaker Aloui, Manel Hamdi, Walid Mensi, Duc Khuong Nguyen

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnergy Studies Review · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
FundersKing Saud University
KeywordsWest Texas IntermediateCrude oilEconomicsSample (material)Closing (real estate)Investment (military)EconometricsFinancial economicsChemistryVolatility (finance)Petroleum engineeringFinanceEngineering

Abstract

fetched live from OpenAlex

In this paper, we apply the rolling sample Shannon entropy and the Symbolic Time Series Analysis to evaluate the dynamic of weak-form efficiency of the crude oil markets. Daily closing spot prices data for two worldwide crude oil benchmarks (West Texas Intermediate and Europe Brent) are used with a time window of 4 years. Our main findings support evidence that the degree of efficiency of crude oil market is time-varying. Moreover, the WTI market appears to be less efficient than the Europe Brent. We finally show that the crisis 1997-1998 adversely affected the efficiency degree in crude oil markets. Overall, the findings have several important policy and investment implications.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.076
GPT teacher head0.282
Teacher spread0.206 · 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