IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

About Risk Process Estimation Techniques Employed By A Virtual Organization Which Is Directed Towards The Insurance Business

  • Covrig Mihaela

    ()

    (Academia de Studii Economice din Bucuresti, Facultatea de Cibernetica, Statistica si Informatica Economica)

  • Serban Radu

    ()

    (Academia de Studii Economice din Bucuresti, Facultatea de Cibernetica, Statistica si Informatica Economica)

Registered author(s):

    In a virtual organization directed on the insurance business, the estimations of the risk process and of the ruin probability are important concerns: 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 the insurer surplus process. In this paper, we present some methods for the estimation of the ruin probability and for the evaluation of a reserve fund. We discuss the 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 in which the premiums are computed according to the mean value principle. Also, we attempt the case when the initial capital is proportional to the expected value of the individual claim. We give numerical illustration.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://steconomice.uoradea.ro/anale/volume/2008/v2-economy-and-business-administration/154.pdf
    Download Restriction: no

    Article provided by University of Oradea, Faculty of Economics in its journal The Journal of the Faculty of Economics - Economic.

    Volume (Year): 2 (2008)
    Issue (Month): 1 (May)
    Pages: 841-847

    as
    in new window

    Handle: RePEc:ora:journl:v:2:y:2008:i:1:p:841-847
    Contact details of provider: Postal: Universitatii str. 1, Office F209, 410087 Oradea, Bihor
    Phone: +40259408799
    Fax: 004 0259 408409
    Web page: http://anale.steconomiceuoradea.ro/
    Email:


    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Grandell, Jan, 2000. "Simple approximations of ruin probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 26(2-3), pages 157-173, May.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ora:journl:v:2:y:2008:i:1:p:841-847. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Catalin ZMOLE)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.