Bile?ik ?nc? G?stergeler ve Borsa Endeksi ?li?kisinin Uluslararas? Boyutta ?ncelenmesine Y?nelik Bir Ara?t?rma
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.
Bibliographic record
Abstract
Bu ?al??man?n amac? bile?ik ?nc? g?stergeler ve borsa endeksi ili?kisininuluslararas? boyutta incelenmesidir. Bile?ik ?nc? g?stergeler ekonominin gelecektekiy?n?n?n tahmininde kullan?lan ve bir?ok ?lke taraf?ndan referans kabul edilen birendekstir. ?al??mada dokuz Avrupa ?lkesi (?ngiltere, ?spanya, Hollanda, ?talya,Almanya, Fransa, Bel?ika, Avusturya, T?rkiye), be? Asya ?lkesi (Kore, Japonya,Endonezya, Hindistan, ?in), d?rt Amerika K?tas? ?lkesi (ABD, Kanada, Meksika,Brezilya) olmak ?zere on sekiz ?lkede bile?ik ?nc? g?stergelerle menkul k?ymet borsas?endeksleri aras?ndaki ili?ki ara?t?r?lacakt?r. Ara?t?rma verileri 2000:01-2010:12y?llar?n? kapsayan ayl?k verilere dayanmaktad?r. ?al??mada s?z konusu de?i?kenleraras?ndaki ili?kilerin incelenmesinde zaman serisi analizi, panel veri ve panele?b?t?nle?me analizleri kullan?lm??t?r. Analiz sonu?lar?, Almanya hari? t?m ?lkelerdeve t?m k?talarda bile?ik ?nc? g?stergelerin borsa endeksi ?zerinde anlaml? bir etkisininoldu?unu ve bu iki de?i?kenin uzun d?nemde ili?kili olduklar?n? g?stermektedir. The aim of this study is to investigate the relationship between stock exchangeindex and composite leading indicators in an international dimension. Compositeleading indicators is used to estimate the economy's futures direction and accepted as areference index by many countries. In this study, the relationship of composite leading indicators and stock exchange index is investigated in nine European Countries(England, Spain, Netherlands, Italy, Germany, France, Belgium, Austria, Turkey), fiveAsian Countries (Korea, Japan, Indonesia, India, China) and for Americas (USA,Canada, Mexico, Brazil).Research data is based on monthly data covering the period 2000:01-2010:12. Inthis study in assessing the relationships between these variables, time series analysis,panel data and panel cointegration analysis were used. Results of the analysis showthat composite leading indicators have a significant effect on the stock market index inall countries except Germany and in all continents and these two variables associatedwith in long-term.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it