IDEAS home Printed from https://ideas.repec.org/a/eko/ekoeko/20_96.html
   My bibliography  Save this article

The Top-Down Approach to Calculation of the Insurance Premium

Author

Listed:
  • Wojciech Otto

Abstract

When the risk loading for the whole portfolio is set proportionally to the standard deviation, then the problem of coherent pricing of individual risks arises. Borch (1962), proposed a solution based on Shapley's value of the n-person game. However, the solution is suited only for small n, rather reflecting the game played by few companies that negotiate pooling their portfolios. Otto (2004) proposed an intuitively appealing approximation for the case of large n that leads to allocation of the risk loading proportionaly to variances. The paper is devoted to formally justify that the variance principle can be justified as an approximation to the Shapley’s solution.

Suggested Citation

  • Wojciech Otto, 2008. "The Top-Down Approach to Calculation of the Insurance Premium," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 20.
    • Handle: RePEc:eko:ekoeko:20_96
    as

    Download full text from publisher

    File URL: http://ekonomia.wne.uw.edu.pl/ekonomia/getFile/661
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bühlmann, Hans, 1985. "Premium Calculation from Top Down," ASTIN Bulletin, Cambridge University Press, vol. 15(2), pages 89-101, November.
    2. Borch, Karl, 1962. "Application of Game Theory to Some Problems in Automobile Insurance*)," ASTIN Bulletin, Cambridge University Press, vol. 2(2), pages 208-221, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Suijs, J.P.M. & De Waegenaere, A.M.B. & Borm, P.E.M., 1996. "Stochastic Cooperative Games in Insurance and Reinsurance," Discussion Paper 1996-53, Tilburg University, Center for Economic Research.
    2. Mourdoukoutas, Fotios & Boonen, Tim J. & Koo, Bonsoo & Pantelous, Athanasios A., 2021. "Pricing in a competitive stochastic insurance market," Insurance: Mathematics and Economics, Elsevier, vol. 97(C), pages 44-56.
    3. Michael Powers & Martin Shubik & Shun Yao, 1998. "Insurance market games: Scale effects and public policy," Journal of Economics, Springer, vol. 67(2), pages 109-134, June.
    4. Asmussen, Søren & Christensen, Bent Jesper & Thøgersen, Julie, 2019. "Nash equilibrium premium strategies for push–pull competition in a frictional non-life insurance market," Insurance: Mathematics and Economics, Elsevier, vol. 87(C), pages 92-100.
    5. David K. Hildebrand & James D. Laing & Howard Rosenthal, 1980. "Prediction Analysis of Economic Models," NBER Chapters, in: Evaluation of Econometric Models, pages 91-122, National Bureau of Economic Research, Inc.
    6. Boonen, Tim J. & Pantelous, Athanasios A. & Wu, Renchao, 2018. "Non-cooperative dynamic games for general insurance markets," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 123-135.
    7. Fragnelli, Vito & Marina, Maria Erminia, 2003. "A fair procedure in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 33(1), pages 75-85, August.
    8. Powers, Michael R. & Shubik, Martin, 1998. "On the tradeoff between the law of large numbers and oligopoly in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 23(2), pages 141-156, November.
    9. Roland Eisen, 1986. "Wettbewerb und Regulierung in der Versicherung. Die Rolle asymmetrischer Information," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 122(III), pages 339-358, September.
    10. Alegre, Antoni & Claramunt, M. Merce, 1995. "Allocation of solvency cost in group annuities: Actuarial principles and cooperative game theory," Insurance: Mathematics and Economics, Elsevier, vol. 17(1), pages 19-34, August.
    11. Lone Grønbæk, 2000. "Fishery Economics and Game Theory," Working Papers 14/00, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    12. Cameron A. MacKenzie, 2014. "Summarizing Risk Using Risk Measures and Risk Indices," Risk Analysis, John Wiley & Sons, vol. 34(12), pages 2143-2162, December.
    13. Søren Asmussen & Bent Jesper Christensen & Julie Thøgersen, 2019. "Stackelberg Equilibrium Premium Strategies for Push-Pull Competition in a Non-Life Insurance Market with Product Differentiation," Risks, MDPI, vol. 7(2), pages 1-23, May.
    14. Suijs, Jeroen & De Waegenaere, Anja & Borm, Peter, 1998. "Stochastic cooperative games in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 22(3), pages 209-228, July.
    15. Pawel Mista, 2006. "Analytical and numerical approach to corporate operational risk modelling," HSC Research Reports HSC/06/03, Hugo Steinhaus Center, Wroclaw University of Technology.

    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:eko:ekoeko:20_96. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .

    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.