DocumentCode
2991234
Title
Advancing gradually expansion of ruin probability in case of second-order regular variation tails
Author
Su Hui-lin ; Wang Xiao-qian ; Yao Ze-qing ; Cui Zhou-jin
Author_Institution
Inst. of Sci., PLA Univ. of Sci. & Technol., Nanjing, China
fYear
2012
fDate
20-22 Sept. 2012
Firstpage
367
Lastpage
371
Abstract
Ruin probability is an important scale of measurement for insurance company, for it can know own compensation ability well, so it is important to research ruin probability´s advancing expansion for its stable manage. In this paper, we consider the classical risk model, assuming that the tail of claim-size is second-order regular variation. First we prove the closeness of second-order regular variation, we obtain advancing gradually expansion of equation, then using Beekman´s convolution formula, finally get the advancing gradually expansion of ruin probability.
Keywords
insurance; probability; risk analysis; Beekman convolution formula; claim-size; insurance company; risk model; ruin probability; second-order regular variation tails; Companies; Convolution; Educational institutions; Insurance; Mathematical model; Noise; Stochastic processes; Cramer-Lundberg model; ruin probability; second-order regularly varying function;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location
Dallas, TX
ISSN
2155-1847
Print_ISBN
978-1-4673-3015-2
Type
conf
DOI
10.1109/ICMSE.2012.6414207
Filename
6414207
Link To Document