Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution
Öz
Good estimates for the tails of loss severity distributions are essentials for pricing or positioning high-excess
loss layers (in reinsurance). Extreme value theory (EVT) provides a framework to formalize the study of
behaviour in the tails of loss severity distributions. In EVT, the excess losses over a high threshold are
modelled using generalized Pareto distribution (GPD). In any data analysis, there are various layers of
uncertainty such as parameter and/or model uncertainty. These uncertainities are magnified in extreme value
analysis. The aim of this study is to obtain fuzzy price for high excess loss layer when GPD provides good
fitting to the tail of claim data. For this purpose, parameters of GPD are estimated using Buckley’s approach
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Yasemin Gençtürk
Bu kişi benim
Türkiye
Tuğba Tunç
Bu kişi benim
Süleyman Günay
Bu kişi benim
Yayımlanma Tarihi
30 Haziran 2011
Gönderilme Tarihi
1 Nisan 2011
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2011 Cilt: 4 Sayı: 1