Modeling of Claim Exceedances Over Random Thresholds for Related Insurance Portfolios
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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
Green Open Access
Yes
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0
OpenAIRE Views
1
Publicly Funded
No
Abstract
Large claims in an actuarial risk process are of special importance for the actuarial decision making about several issues like pricing of risks, determination of retention treaties and capital requirements for solvency. This paper presents a model about claim occurrences in an insurance portfolio that exceed the largest claim of another portfolio providing the same sort of insurance coverages. Two cases are taken into consideration: independent and identically distributed claims and exchangeable dependent claims in each of the portfolios. Copulas are used to model the dependence situations. Several theorems and examples are presented for the distributional properties and expected values of the critical quantities under concern. (C) 2011 Elsevier B.V. All rights reserved.
Description
tank, fatih/0000-0003-3758-396X; Tank, Fatih/0000-0003-3758-396X; Gebizlioglu, Ömer/0000-0002-3824-281X; Eryilmaz, Serkan/0000-0002-2108-1781
Keywords
Largest claim size, Order statistics, Exceedances, Renewal process, Copulas, Largest claim size, Copulas, Exceedances, Renewal process, Largest claim size,Order statistics,Exceedances,Renewal process,Copulas, Order statistics, Applications of statistics to actuarial sciences and financial mathematics, largest claim size, copulas, renewal process, exceedances, order statistics, Risk theory, insurance
Turkish CoHE Thesis Center URL
Fields of Science
0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences
Citation
WoS Q
Q1
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OpenCitations Citation Count
10
Source
Insurance: Mathematics and Economics
Volume
49
Issue
3
Start Page
496
End Page
500
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Citations
CrossRef : 10
Scopus : 10
Captures
Mendeley Readers : 12
SCOPUS™ Citations
10
checked on Jan 22, 2026
Web of Science™ Citations
11
checked on Jan 22, 2026
Page Views
2
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