The Effects of G-7 Countries’ Stock Markets on the Istanbul Stock Exchange
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".