Check out RSS, or use RSS reader to subscribe this item
Confirmation
Authentication email has already been sent, please check your email box: and activate it as soon as possible.
You can login to My Profile and manage your email alerts.
Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
Citation: Shanshan Wang,Chunsheng Zhang.The Maximum Surplus before Ruin in the Generalized Erlang(n) Risk Model Perturbed by Diffusion[OL]. [ 2 February 2009] http://en.paper.edu.cn/en_releasepaper/content/28350
A maximum surplus before ruin is an important index of assets in insurance institutions. Considering important impact of random error factors on the nature of sample paths of the surplus process, which essentially increases diffculties in research. We investigate the distribution of maximum surplus in generalized Erlang(n) risk model perturbed by diffusion in this paper. We derive a homogeneous integro-differential equation with certain boundary conditions, describing the maximum surplus. Particularly, we can deduce explicit results as long as the individual claim size is
rationally distributed. Moreover extending a number of results of simple generalized Erlang(n) risk
model(see [7]) successfully, our arguments are more practical and the results are more delicate.
Keywords:Sparre Andersen risk process; Generalized Erlang(n) claim waiting time; Maximum surplus before ruin; Diffusion process; Integro-differential equation