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Record W6962468647 · doi:10.17632/5sx2tzx22s

Islamic Stock Price and Exchange Rate: A Wavelet Analysis for ASEAN-5 and OECD Economies.

2022· dataset· en· W6962468647 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueMendeley Data · 2022
Typedataset
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCurrencyStock (firearms)Stock exchangeCzechIslamExchange rate

Abstract

fetched live from OpenAlex

The Bloomberg website was used to collect nominal exchange rates (against USD for all countries except USD against EUR) and MSCI (Morgan Stanley Composite Index) Islamic stock prices for ASEAN-5 and OECD countries. The wavelet analysis outputs are generated using MATLAB software. Note: The first and second parentheses refer to the label of country's Islamic stock price and exchange rate, respectively. All Eurozone countries will use the common currency of the Euro (EUR). ASEAN-5 countries: Malaysia (IM)(MYR), Singapore (IS)(SGD), Indonesia (II)(IDR), Philippines (IP)(PHP), Thailand (IT)(THB). OECD countries: Australia (IA)(AUD), Canada (ICAD)(CAD), Chile (IC)(CLP), Czech Republic (ICR)(CZK), Denmark (ID)(DKK), Hungary (IH)(HUF), Japan (IJ)(JPY), Korea (IK)(KRW), Mexico (IMXN)(MXN), New Zealand (INZ)(ZND), Norway (IN)(NOK), Poland (IPLN)(PLN), Sweden (ISW)(SEK), Switzerland (ISL)(CHF), Turkey (ITRY)(TRY), United States (IUS)(USD), United Kingdom (IUK)(GBP), Austria (IAU)(EUR), Belgium (IBG) (EUR), Finland (IFL) (EUR), France (IF) (EUR), Germany (IG) (EUR), Ireland (IIL) (EUR), Italy (IIY) (EUR), Netherlands (INL) (EUR), Spain (ISP) (EUR).

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)0.000
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0660.001

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 head0.100
GPT teacher head0.259
Teacher spread0.159 · 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