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
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;
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-3015-2
DOI :
10.1109/ICMSE.2012.6414207