• 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