Kredi türev ürünleri, kredi riskini minimize etmek için 1990'lı yıllarda finans piyasalarında kullanılmaya başlanmış ve kredi olaylarından kaynaklanan zararlara karşı sigorta sağlayarak, kredi riskine maruz kalmayı azaltmak veya ortadan kaldırmak için oluşturulmuş finansal sözleşmelerdir. En çok kullanılan kredi türev ürünlerinden biri olan kredi temerrüt takasının (CDS) temel işlevi kredi riskini dağıtmaktır. Bu çalışmanın amacı; CDS prim oynaklığını, normal, student-t, GED ve skewed-t dağılımları kullanarak simetrik ve asimetrik etkileri dikkate alan GARCH modelleri ile tahminlemek ve öngörü performanslarını karşılaştırmaktır. Bu amaç doğrultusunda 01 Ocak 2010 ile 30 Ekim 2019 tarihleri arasındaki günlük CDS risk primleri kullanılmıştır. Elde edilen sonuçlar asimetrik etkiyi dikkate alan modellerin ve kalın kuyruklu dağılımların daha iyi sonuçlar ortaya koyduğunu göstermektedir.
In this study the relationship between profitability and the capital requirements was analysed for the foreign capital deposit banks in Turkey. Although there are many studies in the Turkish banking sector on profitability analysis, the studies on bank groups is limited. In this study the capital requirements and the profitability relationship for the foreign capital banks was analysed with data from 2004-2016 based on ARDL approach. The study concludes that there is a significant and positive relationship between the capital requirements and probability for foreign capital deposit banks in Turkey. Similar results were also found in our previous study on national capital deposit banks for the relationship between capital requirements and profitability.
The concept of youth not in education, training, and employment (NEET) is a relatively new popular concept. Its popularity is largely due to the fact that it takes into account different vulnerabilities such as unemployment and early school leaving, which are common among young people. The aim of this study is to examine the NEET youth in Turkey. In this context, the situation of young people in NEET status is examined according to gender, age, education level, marital status, and regional differences. For this purpose, the data pooled from the Household Labor Force Survey for the years 2014-2020 was used. In the study, first, NEET interpretations were made for Turkey using descriptive statistical tools, and then a logit analysis was performed to identify the determinants of NEET in Turkey. The findings reveal that demographic characteristics such as gender, marital status, age, education level, and region of residence are among the determinants of NEET.
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