Finansal krizlerde finansal regülasyonların rolü ve Türkiye açısından değerlendirilmesi
Bibliographic record
Abstract
FİNANSAL KRİZLERDE FİNANSAL REGÜLASYONLARIN ROLÜ ve \nTÜRKİYE AÇISINDAN DEĞERLENDİRİLMESİ\nDünya ekonomileri tarihsel süreç içerisinde çeşitli finansal krizlerle karşı karşıya kalmıştır. Yaşanan finansal krizlerde finansal sektörün oynadığı rol ve piyasa başarısızlıkları sorunu, finansal regülasyon tartışmalarını da beraberinde getirmiştir. Özellikle 20. yüzyılın son çeyreğinde uluslararası finansal piyasalarda yaşanan liberalizasyon ve entegrasyon süreci, finansal piyasalardaki etkinlik ve istikrarı sağlayacak olan düzenlemelerin gerekliliğini ortaya koymuştur. Bu açıdan çalışmada, finansal regülasyonların finansal krizlerdeki rolünün çeşitli ülke deneyimlerinden hareketle incelenmesi ve Türkiye’deki düzenleyici yapının bu bulgular doğrultusunda değerlendirilmesi amaçlanmıştır. Yapılan çalışmada, regülasyon başarısızlıklarının, bilgi ve tecrübe eksikliği ile ekonomik birimlerin düzenleyici süreç üzerindeki manipülasyonlarından kaynaklandığı görülmüştür. Bu kapsamda, Türkiye’de 2001 Krizi’nin ardından uygulanan regülasyonların, geçmişte yaşanan finansal regülasyon başarısızlıklarından edinilen tecrübeler ışığında şekillendiğini ifade etmek mümkündür. Dolayısıyla, finansal sistemi istikrara kavuşturacak olan finansal regülasyonların, finansal piyasa aktörlerinin güdüleri göz önüne alınarak tesis edilmesi gerekliliği unutulmamalıdır.\nAnahtar Kelimeler : Finansal Regülasyon, Finansal Krizler, Sistemik Risk, Asimetrik Enformasyon.\nABSTRACT\nTHE ROLE OF FINANCIAL REGULATIONS IN THE FINANCIAL CRISIS AND PERSPECTIVE FROM TURKEY\nThe world economies have faced several financial crises in the historical process. The role of the financial sector in the financial crisis and problems of market failure, brought about debates over financial regulation. Especially, experienced liberalization and integration process in international financial markets in the last quarter of the 20th century, put forth the necessity of regulations that will provide efficiency and stability of financial markets. In this context, an examination of the role of financial regulation in financial crises from various country experiences and an evaluation of the regulatory structure in Turkey in terms of these findings are aimed in this study. It is observed that regulatory failures to be emanating from a lack of knowledge and experience and also from manipulations by economic agents over the regulatory process in this study. Within this framework, it is possible to say that the regulations which are implemented in Turkey after the 2001 crisis, that were shaped in the light of lessons that have been learned from the regulatory failures of the past experience. Thus, the financial regulations which will stabilize the financial system, should be noted that the necessity of the establishment considering the motives of financial market actors.\nKeywords : Financial Regulation, Financial Crises, Systemic Risk, Asymmetric Information
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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".