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Record W640544726

The Effects of G-7 Countries’ Stock Markets on the Istanbul Stock Exchange

2006· article· en· W640544726 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

VenueAYBU AVESIS · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsStock exchangeStock marketEconomicsStock (firearms)Stock market indexComposite indexFinancial economicsMonetary economicsGeographyFinance
DOInot available

Abstract

fetched live from OpenAlex

In this paper, the effects of G-7 countries’ stock market indices, DAX (Germany), CAC 40 (France), FTSE (United Kingdom), S&P TSX Composite (Canada), NIKKEI 225 (Japan), S&P 500 (USA), DOW JONES (USA), NASDAQ (USA), and MIBTEL (Italy), on the stock market of Turkey, Istanbul Stock Exchange (ISE-100), have been examined by using a block recursive VAR model. The findings of the study suggest that all the indices except for NIKKEI 225, have positive and significant effects on the ISE-100. As a result of the analysis, it is reported that the effects of the other stock market indices on the ISE-100 have decreased for the period between 01.01.1995-31.10.2000 in which there exist no financial crisis for Turkey, however after September 11, as the effects of the globalization have increased, the effects of the stock market indices on the ISE-100 have increased.

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)0.001
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 score0.679
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.193
Teacher spread0.184 · 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