ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC

On the Sparre-Andersen dual model perturbed by diffusion

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2019.09.001
More Information
  • Corresponding author: CHEN Yu (corresponding author), female, born in 1978, PhD/ associate Prof. Research field:Limit theorem in risk theory. E-mail: cyu@ustc.edu.cn
  • Received Date: 02 December 2017
  • Rev Recd Date: 01 June 2018
  • Publish Date: 30 September 2019
  • A diffusion perturbed Sparre-Andersen dual risk model was studied, in which the times between gains are independent and identically distributed random variables with a generalized Erlang(n) distribution. An integro-differential equation with certain boundary for the Laplace transform of the ruin time was derived and then its explicit expression was obtained. In particular, an explicit form of the Laplace transform of the time to ruin were studied when jump sizes were exponential. Finally, by studying the expected discounted dividends with the threshold-dividend strategy in the diffusion perturbed Sparre-Andersen dual risk model, an integro-differential equation with certain boundary for the expected discounted dividends was derived.
    A diffusion perturbed Sparre-Andersen dual risk model was studied, in which the times between gains are independent and identically distributed random variables with a generalized Erlang(n) distribution. An integro-differential equation with certain boundary for the Laplace transform of the ruin time was derived and then its explicit expression was obtained. In particular, an explicit form of the Laplace transform of the time to ruin were studied when jump sizes were exponential. Finally, by studying the expected discounted dividends with the threshold-dividend strategy in the diffusion perturbed Sparre-Andersen dual risk model, an integro-differential equation with certain boundary for the expected discounted dividends was derived.
  • loading
  • 加载中

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return