IDEAS home Printed from https://ideas.repec.org/p/arx/papers/cond-mat-0211534.html
   My bibliography  Save this paper

Premium Forecasting of an Insurance Company: Automobile Insurance

Author

Listed:
  • M. Ebrahim Fouladvand
  • Amir H. Darooneh

Abstract

We present an analytical study of an insurance company. We model the company's performance on a statistical basis and evaluate the predicted annual income of the company in terms of insurance parameters namely the premium, total number of the insured, average loss claims etc. We restrict ourselves to a single insurance class the so-called automobile insurance. We show the existence a crossover premium p_c below which the company is loss-making. Above p_c, we also give detailed statistical analysis of the company's financial status and obtain the predicted profit along with the corresponding risk as well as ruin probability in terms of premium. Furthermore we obtain the optimal premium p_{opt} which maximizes the company's profit.

Suggested Citation

  • M. Ebrahim Fouladvand & Amir H. Darooneh, 2002. "Premium Forecasting of an Insurance Company: Automobile Insurance," Papers cond-mat/0211534, arXiv.org.
  • Handle: RePEc:arx:papers:cond-mat/0211534
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/cond-mat/0211534
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:cond-mat/0211534. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.