Zobrazeno 1 - 10
of 5 718
pro vyhledávání: '"CREDIT DEFAULT SWAP"'
Autor:
Ustalar, Sinem Atici, Şanlisoy, Selim
Publikováno v:
Sustainability Development through Green Economics
Publikováno v:
Uluslararası Ekonomi, İşletme ve Politika Dergisi, Vol 8, Iss 2, Pp 398-420 (2024)
Bu çalışmada, Türkiye'deki katılım bankalarının finansal performansını değerlendirmek amacıyla 2016:Q1-2023:Q4 dönemlerindeki finansal verileri içeren bir veri seti kullanılmıştır. Veri seti; Albaraka, Kuveyt Türk, Türkiye Finans,
Externí odkaz:
https://doaj.org/article/a993f04940c849e3b65652c23a530fcb
Publikováno v:
Problemi Ekonomiki, Vol 1, Iss 59, Pp 102-111 (2024)
Derivatives play an important role in the processes that take place in the global economy and economic growth. They are critical for hedging risks in the banking sector, managing the interest rate in the activities of pension funds, satisfying insura
Externí odkaz:
https://doaj.org/article/92e2fd82c09f45768dbcfc96722fdad5
Autor:
Alan T. Wang, Chin-Chia Liang
Publikováno v:
Borsa Istanbul Review, Vol 24, Iss 1, Pp 176-186 (2024)
Using the panel-data approach with a sample of emerging countries, this study examines the relationship between exchange-rate movements from 2011 to 2022, on the one hand, and sovereign debt credit default swap (CDS) premiums and market volatility, o
Externí odkaz:
https://doaj.org/article/cae4b95b5b614b30a151d070b9729cee
Autor:
Mustafa Çevik, Dilek Şahin
Publikováno v:
Hitit Sosyal Bilimler Dergisi, Vol 16, Iss 2, Pp 461-482 (2023)
Bu çalışmada uygulamanın ilk kısmında Türkiye’nin ülke risk priminde gözlenen volatilite 2004-2022 dönemi için incelenmiştir. Daha sonra ülke risk primi ile seçili makroekonomik değişkenler (dolar kuru, enflasyon, faiz ve BİST-100)
Externí odkaz:
https://doaj.org/article/e958ca7be73546678af6238ed8d3b09d
Autor:
Yasin Kutuk
Publikováno v:
Borsa Istanbul Review, Vol 23, Iss 6, Pp 1380-1398 (2023)
Using state-of-the-art recurrent neural network architectures, this study attempts to predict credit default swap risk premia for BR[I]CS countries as accurately as possible. In the time series setting, these recurrent neural networks are ELMAN, NARX
Externí odkaz:
https://doaj.org/article/359fa8606c894fab8b5f198328f39b1c
Publikováno v:
In International Review of Economics and Finance April 2024 92:1250-1269
Autor:
Ekici, Emrah, Sottile, Pedro
Publikováno v:
Research on Professional Responsibility and Ethics in Accounting
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