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Toplam kayıt 39, listelenen: 1-10
Aramanızla eşleşen bölüm veya koleksiyonlar
Aramanızla eşleşen öğeler
Hayat Dışı Sigorta Sektöründe Optimal Primin Belirlenmesi
(Fen Bilimleri Enstitüsü, 2018-06-19)
In globalizing competitive markets, price optimization is not a new concept.
However, there is no widely accepted method and common definition of price
optimization in the insurance sector. Insurance companies make models ...
Bağımlı Çoklu Hayat Anüitelerinde Uzun Ömürlülük Riskinin Stokastik Analizi
(Fen Bilimleri Enstitüsü, 2018)
In this study, the AR (1) model was used for the interest rate which is one of the two basic variables that used in calculating the net single premium of the annuity. For the years between 2005-2018, government debt ...
Düzleştirme Splaynlarının Hayat Dışı Sigorta Ürünleri Fiyatlamada Etkileri
(Fen Bilimleri Enstitüsü, 2018)
The Generalized Linear Models (GLM) is one of the most commonly used methods of pricing non-life insurance products. The method gives a great advantage for selecting loss distribution from exponential family. Typically ...
Hayat Dışı Sigortalarda Doğrusal Olmayan Bağımlılığın Kopulalar ile Dinamik Finansal Analizi
(Fen Bilimleri Enstitüsü, 2013)
In this study, with Dynamic Financial Analysis model approach that includes basic components for a non-life insurance company, two different simulation studies have been done. Non linear dependencies have been integrated ...
Düzenlenmiş Sözde-Kopula Regresyon Modeli
(Fen Bilimleri Enstitüsü, 2020)
In non-life insurance calculations, the assumption that the claim severity and frequency
are independent is frequently used. Although the independence assumption greatly
simplifies many of the calculations, it is not ...
Hedef Programlama ve En Küçük Kar Farkı Yaklaşımları ile Optimal Reasürans
(Fen Bilimleri Enstitüsü, 2019)
The aim of this study is to contribute to the optimal reinsurance studies, which have a considerable role in the actuarial literature, by considering the situation from a perspective that takes into account the insurer and ...