2008 K?resel Finansal Krizinin Finansal Oranlar ?zerine Etkisi: BIST'de ??lem G?ren ?malat Sanayi ??letmeleri ?zerine Bir Uygulama
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
K?resel krizin Borsa ?stanbul (BIST)'te i?lem g?ren imalat i?letmelerinin finansal oranlar? ?zerine etkisi incelenmekte, ?al??mada 2007 - 2011 d?nemleri aras?nda kesintisiz olarak varl???n? s?rd?rm?? ve d?zenli verisine ula??labilen 158 BIST imalat sanayi i?letmesinin ?e?itli finansal oranlar? ile bir birle?ik oran y?ntemi olan Altman modeli ZSkor de?eri ?eyrek frekansl?k d?nemler halinde hesaplanm??t?r. Hesaplanan oranlar?n ve Altman Z-Skor de?erlerinin kriz d?neminde farkl?l?k g?sterip ??letmelerin iflas risklerinin belirleyicisi olan Altman Z-skor de?erlerine g?re i?letmelerin 2008 y?l? ilk ?eyre?inden 2009 y?l? son ?eyre?ine kadar iflas risklerinde art?? oldu?u da ?al??madan elde edilen bulgular aras?ndad?r. This study researches the effect of 2008 crisis on the financial ratios of Istanbul Stock Exchange (ISE) manufacturing firms. On this respect several key financial ratios and Altman Z-Score is calculated for 158 ISE firms which has adequate data spanning from 2007 to 2011 on a quarterly basis. The results of the analysis indicate that during the crisis period, is decreased with the profit. Besides Altman Z-score value reveals that there is an increase in bankruptcy risk starting from first quarter of 2008 to end of 2009.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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