On some approximations used in the risk process of an insurance company
Michaela Covrig () and
Iulian Mircea ()
Additional contact information
Michaela Covrig: Academy of Economic Studies,cDepartment of Mathematics, Bucharest, Romania
Iulian Mircea: Academy of Economic Studies, Department of Mathematics, Bucharest, Romania
Yearbook of the Faculty of Economics and Business Administration, Sofia University, 2011, vol. 9, issue 1, 131-138
Abstract:
In an insurance company, the risk process estimation and the estimation of the ruin probability are important concerns for an actuary: for researchers, at the theoretical level, and for the management of the company, as these influence the insurer strategy. We consider the evolution over an extended period of time of an insurer surplus process. In this paper, we present some methods of estimating of the ruin probability. We discuss the approximations of ruin probability with respect to: the parameters of the individual claim distribution, the load factor of premiums, and the intensity parameter of the number of claims process. We analyze the model where the premiums are computed on the basis of the mean value principle. We give numerical illustration.
Keywords: ruin probability; risk process; adjustment coefficient. (search for similar items in EconPapers)
JEL-codes: C02 G22 G32 (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.feb.uni-sofia.bg/sko/yrbook/Yearbook09-08.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sko:yrbook:v:9:y:2011:i:1:p:131-138
Access Statistics for this article
More articles in Yearbook of the Faculty of Economics and Business Administration, Sofia University from Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria Contact information at EDIRC.
Bibliographic data for series maintained by Prof. Teodor Sedlarski ().