IDEAS home Printed from https://ideas.repec.org/a/ibn/ibrjnl/v11y2018i1p170-183.html
   My bibliography  Save this article

An Empirical Analysis of the Property Catastrophe Reinsurance

Author

Listed:
  • Jong-Hag Jang

Abstract

Following a series of costly catastrophes, including Hurricane Harvey and Hurricane Irma in 2017 and the Sichuan Earthquake in 2017, the purchase of property catastrophe reinsurance has become a major topic of debate. Many techniques for selecting an optimal retention and upper limit level have been proposed, but no entirely satisfactory method has been devised. Therefore, in practice, the setting of retentions and upper limits is still more a matter of judgment than science. In this study, we examine the determinants of property catastrophe excess-of-loss reinsurance retentions and limits for property-liability insurance companies in the U.S. insurance industry. A cross-sectional model is estimated using two-stage least squares regression. The regression analysis shows that most coefficients have the hypothesized signs and are significant. This study is the first research that provides clear evidence to support the relationship among retentions, upper limits, and co-reinsurance rates.

Suggested Citation

  • Jong-Hag Jang, 2018. "An Empirical Analysis of the Property Catastrophe Reinsurance," International Business Research, Canadian Center of Science and Education, vol. 11(1), pages 170-183, January.
    • Handle: RePEc:ibn:ibrjnl:v:11:y:2018:i:1:p:170-183
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/view/71827/39690
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/view/71827
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anne Gron, 1999. "Insurer Demand for Catastrophe Reinsurance," NBER Chapters, in: The Financing of Catastrophe Risk, pages 23-50, National Bureau of Economic Research, Inc.
    2. Vajda, Stefan, 1962. "Minimum Variance Reinsurance*)," ASTIN Bulletin, Cambridge University Press, vol. 2(2), pages 257-260, September.
    3. Dickson, David C.M. & Waters, Howard R., 1997. "Relative Reinsurance Retention Levels," ASTIN Bulletin, Cambridge University Press, vol. 27(2), pages 207-227, November.
    4. Borch, Karl, 1961. "The Utility Concept Applied to the Theory of Insurance," ASTIN Bulletin, Cambridge University Press, vol. 1(5), pages 245-255, July.
    5. Centeno, Lourdes, 1986. "Measuring the effects of reinsurance by the adjustment coefficient," Insurance: Mathematics and Economics, Elsevier, vol. 5(2), pages 169-182, April.
    6. Zecchin, Marco, 1987. "Calculation of the maximum retentions in XL reinsurance," Insurance: Mathematics and Economics, Elsevier, vol. 6(3), pages 169-178, July.
    7. Paul Kleindorfer & Howard Kunreuther, 1999. "Challenges Facing the Insurance Industry in Managing Catastrophic Risks," NBER Chapters, in: The Financing of Catastrophe Risk, pages 149-194, National Bureau of Economic Research, Inc.
    8. Waters, Howard R., 1983. "Some mathematical aspects of reinsurance," Insurance: Mathematics and Economics, Elsevier, vol. 2(1), pages 17-26, January.
    9. Mayers, David & Smith, Clifford W, Jr, 1990. "On the Corporate Demand for Insurance: Evidence from the Reinsurance Market," The Journal of Business, University of Chicago Press, vol. 63(1), pages 19-40, January.
    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. Alejandro Drexler & Richard Rosen, 2022. "Exposure to catastrophe risk and use of reinsurance: an empirical evaluation for the U.S," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 103-124, January.
    2. Kull, Andreas, 2009. "Sharing Risk – An Economic Perspective," ASTIN Bulletin, Cambridge University Press, vol. 39(2), pages 591-613, November.
    3. Yuta Otsuki & Shotaro Yagishita, 2024. "Optimal reinsurance and investment via stochastic projected gradient method based on Malliavin calculus," Papers 2411.05417, arXiv.org.
    4. Centeno, Maria de Lourdes, 2002. "Excess of loss reinsurance and Gerber's inequality in the Sparre Anderson model," Insurance: Mathematics and Economics, Elsevier, vol. 31(3), pages 415-427, December.
    5. Lawrence Powell & David Sommer, 2007. "Internal Versus External Capital Markets in the Insurance Industry: The Role of Reinsurance," Journal of Financial Services Research, Springer;Western Finance Association, vol. 31(2), pages 173-188, June.
    6. Centeno, Maria de Lourdes, 2002. "Measuring the effects of reinsurance by the adjustment coefficient in the Sparre Anderson model," Insurance: Mathematics and Economics, Elsevier, vol. 30(1), pages 37-49, February.
    7. Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
    8. Arian Cani & Stefan Thonhauser, 2017. "An optimal reinsurance problem in the Cramér–Lundberg model," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 85(2), pages 179-205, April.
    9. Anna Castañer & M. Claramunt & Maite Mármol, 2012. "Ruin probability and time of ruin with a proportional reinsurance threshold strategy," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 614-638, October.
    10. Thomann, Christian & Schulenburg, J.-Matthias, 2006. "Supply and Demand for Terrorism Insurance: Lessons from Germany," Hannover Economic Papers (HEP) dp-340, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    11. Dickson, David C. M. & Waters, Howard R., 1996. "Reinsurance and ruin," Insurance: Mathematics and Economics, Elsevier, vol. 19(1), pages 61-80, December.
    12. Jiyeon Yun & James M. Carson & David L. Eckles, 2023. "Executive compensation and corporate risk management," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(2), pages 521-557, June.
    13. Anna Castañer & M.Mercè Claramunt & Maite Mármol, 2014. "Some optimization and decision problems in proportional reinsurance," UB School of Economics Working Papers 2014/310, University of Barcelona School of Economics.
    14. Froot, Kenneth A., 2001. "The market for catastrophe risk: a clinical examination," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 529-571, May.
    15. Denuit, Michel & Vylder, Etienne De & Lefevre, Claude, 1999. "Extremal generators and extremal distributions for the continuous s-convex stochastic orderings," Insurance: Mathematics and Economics, Elsevier, vol. 24(3), pages 201-217, May.
    16. Lin, Chen & Lin, Ping & Zou, Hong, 2012. "Does property rights protection affect corporate risk management strategy? Intra- and cross-country evidence," Journal of Corporate Finance, Elsevier, vol. 18(2), pages 311-330.
    17. Glismann, Hans H. & Schrader, Klaus, 2001. "Ein funktionstüchtiges System privater Arbeitslosenversicherung," Kiel Working Papers 1076, Kiel Institute for the World Economy (IfW Kiel).
    18. Anne E. Kleffner & Neil A. Doherty, 1994. "The Effect Of Costly Risk Bearing On Insurers' Supply Decisions," Risk and Insurance 9407005, University Library of Munich, Germany.
    19. Liang, Xiaoqing & Liang, Zhibin & Young, Virginia R., 2020. "Optimal reinsurance under the mean–variance premium principle to minimize the probability of ruin," Insurance: Mathematics and Economics, Elsevier, vol. 92(C), pages 128-146.
    20. Chen Yueyun & Hamwi Iskandar S., 2012. "Why Some Disaster Insurance Does not Exist," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 6(1), pages 1-16, February.

    More about this item

    Keywords

    catastrophe reinsurance; co-insurance; retention; upper limit;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ibrjnl:v:11:y:2018:i:1:p:170-183. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.