IDEAS home Printed from https://ideas.repec.org/a/eee/insuma/v53y2013i3p551-568.html
   My bibliography  Save this article

Insurance demand and welfare-maximizing risk capital—Some hints for the regulator in the case of exponential preferences and exponential claims

Author

Listed:
  • Burren, Daniel

Abstract

We propose two models to analyze welfare-maximizing capital requirements for insurance companies considering that capital is costly and therefore affecting the premium. Within a continuous-time model, we derive insurance demand and welfare as a function of personal wealth, the insurance company’s wealth, and the claims process, and compare them to their counterparts in a static model. Besides discussing welfare-maximizing capital, we provide some new insights on insurance demand.

Suggested Citation

  • Burren, Daniel, 2013. "Insurance demand and welfare-maximizing risk capital—Some hints for the regulator in the case of exponential preferences and exponential claims," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 551-568.
    • Handle: RePEc:eee:insuma:v:53:y:2013:i:3:p:551-568
    DOI: 10.1016/j.insmatheco.2013.08.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167668713001121
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.insmatheco.2013.08.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Borch, Karl, 1975. "Optimal Insurance Arrangements," ASTIN Bulletin, Cambridge University Press, vol. 8(3), pages 284-290, September.
    2. Powers, Michael R., 1995. "A theory of risk, return and solvency," Insurance: Mathematics and Economics, Elsevier, vol. 17(2), pages 101-118, October.
    3. Olivier Mahul & Brian Davern Wright, 2004. "Implications of incomplete performance for optimal insurance," Post-Print hal-01952109, HAL.
    4. Arthur Charpentier & Benoît Le Maux, 2010. "Natural Catastrophe Insurance: When Should the Government Intervene?," Working Papers hal-00536925, HAL.
    5. Moore, Kristen S. & Young, Virginia R., 2006. "Optimal insurance in a continuous-time model," Insurance: Mathematics and Economics, Elsevier, vol. 39(1), pages 47-68, August.
    6. Lixin Wu & Min Dai, 2009. "Pricing jump risk with utility indifference," Quantitative Finance, Taylor & Francis Journals, vol. 9(2), pages 177-186.
    7. E. Jouini & W. Schachermayer & N. Touzi, 2008. "Optimal Risk Sharing For Law Invariant Monetary Utility Functions," Mathematical Finance, Wiley Blackwell, vol. 18(2), pages 269-292, April.
    8. repec:hal:journl:hal-00536925 is not listed on IDEAS
    9. Elyés Jouini & Moncef Meddeb & Nizar Touzi, 2004. "Vector-valued coherent risk measures," Finance and Stochastics, Springer, vol. 8(4), pages 531-552, November.
    10. Chris Mulhearn & Howard R. Vane, 2008. "The Euro," Books, Edward Elgar Publishing, number 12566.
    11. MOSSIN, Jan, 1968. "Aspects of rational insurance purchasing," LIDAM Reprints CORE 23, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. J. Dhaene & R. J. A. Laeven & S. Vanduffel & G. Darkiewicz & M. J. Goovaerts, 2008. "Can a Coherent Risk Measure Be Too Subadditive?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(2), pages 365-386, June.
    13. Helmut Gründl & Thomas Post & Roman N. Schulze, 2006. "To Hedge or Not to Hedge: Managing Demographic Risk in Life Insurance Companies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(1), pages 19-41, March.
    14. Kangoh Lee, 2005. "Wealth Effects on Self-Insurance and Self-Protection against Monetary and Nonmonetary Losses," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 30(2), pages 147-159, December.
    15. Bruhn, Kenneth & Steffensen, Mogens, 2011. "Household consumption, investment and life insurance," Insurance: Mathematics and Economics, Elsevier, vol. 48(3), pages 315-325, May.
    16. Anne Gron, 1994. "Capacity Constraints and Cycles in Property-Casualty Insurance Markets," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 110-127, Spring.
    17. repec:dau:papers:123456789/361 is not listed on IDEAS
    18. Carlo Acerbi & Dirk Tasche, 2002. "Expected Shortfall: A Natural Coherent Alternative to Value at Risk," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 31(2), pages 379-388, July.
    19. Zimmer, Anja & Schade, Christian & Gründl, Helmut, 2009. "Is default risk acceptable when purchasing insurance? Experimental evidence for different probability representations, reasons for default, and framings," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 11-23, February.
    20. Liu, Yanyan & Myers, Robert, 2012. "The dynamics of insurance demand under liquidity constraints and insurer default risk:," IFPRI discussion papers 1174, International Food Policy Research Institute (IFPRI).
    21. Damir Filipović & Michael Kupper, 2008. "Optimal Capital And Risk Transfers For Group Diversification," Mathematical Finance, Wiley Blackwell, vol. 18(1), pages 55-76, January.
    22. Hans Föllmer & Alexander Schied, 2002. "Convex measures of risk and trading constraints," Finance and Stochastics, Springer, vol. 6(4), pages 429-447.
    23. Cummins, J. David & Danzon, Patricia M., 1997. "Price, Financial Quality, and Capital Flows in Insurance Markets," Journal of Financial Intermediation, Elsevier, vol. 6(1), pages 3-38, January.
    24. Neil A. Doherty & Harris Schlesinger, 1990. "Rational Insurance Purchasing: Consideration of Contract Nonperformance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 243-253.
    25. Kangoh Lee, 2005. "Wealth Effects on Self-Insurance and Self-Protection against Monetary and Nonmonetary Losses," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 30(2), pages 147-159, December.
    26. Yow, Shaun & Sherris, Michael, 2008. "Enterprise Risk Management, Insurer Value Maximisation, and Market Frictions," ASTIN Bulletin, Cambridge University Press, vol. 38(1), pages 293-339, May.
    27. Cagle, Julie A B & Harrington, Scott E, 1995. "Insurance Supply with Capacity Constraints and Endogenous Insolvency Risk," Journal of Risk and Uncertainty, Springer, vol. 11(3), pages 219-232, December.
    28. Martin F. Grace & Richard D. Phillips, 2007. "The Allocation of Governmental Regulatory Authority: Federalism and the Case of Insurance Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(1), pages 207-238, March.
    29. Tsanakas, Andreas, 2009. "To split or not to split: Capital allocation with convex risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 268-277, April.
    30. Jan Dhaene & Andreas Tsanakas & Emiliano A. Valdez & Steven Vanduffel, 2012. "Optimal Capital Allocation Principles," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(1), pages 1-28, March.
    31. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    32. Buch, A. & Dorfleitner, G., 2008. "Coherent risk measures, coherent capital allocations and the gradient allocation principle," Insurance: Mathematics and Economics, Elsevier, vol. 42(1), pages 235-242, February.
    33. repec:dau:papers:123456789/353 is not listed on IDEAS
    34. Olivier Mahul & Brian D. Wright, 2004. "Implications of Incomplete Performance for Optimal Insurance," Economica, London School of Economics and Political Science, vol. 71(284), pages 661-670, November.
    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. Wang, Wei & Xu, Huifu & Ma, Tiejun, 2023. "Optimal scenario-dependent multivariate shortfall risk measure and its application in risk capital allocation," European Journal of Operational Research, Elsevier, vol. 306(1), pages 322-347.
    2. Laux, Christian & Muermann, Alexander, 2010. "Financing risk transfer under governance problems: Mutual versus stock insurers," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 333-354, July.
    3. Tsanakas, Andreas, 2009. "To split or not to split: Capital allocation with convex risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 268-277, April.
    4. Grechuk, Bogdan, 2023. "Extended gradient of convex function and capital allocation," European Journal of Operational Research, Elsevier, vol. 305(1), pages 429-437.
    5. Neil A. Doherty & Christian Laux & Alexander Muermann, 2015. "Insuring Nonverifiable Losses," Review of Finance, European Finance Association, vol. 19(1), pages 283-316.
    6. Gabriele Canna & Francesca Centrone & Emanuela Rosazza Gianin, 2021. "Capital Allocation Rules and the No-Undercut Property," Mathematics, MDPI, vol. 9(2), pages 1-13, January.
    7. Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
    8. Markus Huggenberger & Peter Albrecht, 2022. "Risk pooling and solvency regulation: A policyholder's perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 907-950, December.
    9. Alessandro Doldi & Marco Frittelli, 2021. "Real-Valued Systemic Risk Measures," Mathematics, MDPI, vol. 9(9), pages 1-24, April.
    10. Li, Peng & Lim, Andrew E.B. & Shanthikumar, J. George, 2010. "Optimal risk transfer for agents with germs," Insurance: Mathematics and Economics, Elsevier, vol. 47(1), pages 1-12, August.
    11. Doherty, Neil A. & Laux, Christian & Muermann, Alexander, 2010. "Insuring Non-verifiable Losses and the Role of Internediaries," Working Papers 11-31, University of Pennsylvania, Wharton School, Weiss Center.
    12. Marcelo Brutti Righi & Paulo Sergio Ceretta, 2015. "Shortfall Deviation Risk: An alternative to risk measurement," Papers 1501.02007, arXiv.org, revised May 2016.
    13. Mitja Stadje, 2018. "Representation Results for Law Invariant Recursive Dynamic Deviation Measures and Risk Sharing," Papers 1811.09615, arXiv.org, revised Dec 2018.
    14. Mahul, Olivier & Wright, Brian D., 2007. "Optimal coverage for incompletely reliable insurance," Economics Letters, Elsevier, vol. 95(3), pages 456-461, June.
    15. Marcelo Brutti Righi & Marlon Ruoso Moresco, 2020. "Inf-convolution and optimal risk sharing with countable sets of risk measures," Papers 2003.05797, arXiv.org, revised Mar 2022.
    16. Biener, Christian & Landmann, Andreas & Santana, Maria Isabel, 2019. "Contract nonperformance risk and uncertainty in insurance markets," Journal of Public Economics, Elsevier, vol. 175(C), pages 65-83.
    17. Mao, Tiantian & Hu, Jiuyun & Liu, Haiyan, 2018. "The average risk sharing problem under risk measure and expected utility theory," Insurance: Mathematics and Economics, Elsevier, vol. 83(C), pages 170-179.
    18. Davide La Torre & Marco Maggis, 2012. "A Goal Programming Model with Satisfaction Function for Risk Management and Optimal Portfolio Diversification," Papers 1201.1783, arXiv.org, revised Sep 2012.
    19. Glenn W. Harrison & Jia Min Ng, 2018. "Welfare effects of insurance contract non-performance," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(1), pages 39-76, May.
    20. Cameron A. MacKenzie, 2014. "Summarizing Risk Using Risk Measures and Risk Indices," Risk Analysis, John Wiley & Sons, vol. 34(12), pages 2143-2162, December.

    More about this item

    Keywords

    Welfare-maximizing risk capital; Insurance demand; Risk theory; Optimal stochastic control;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D60 - Microeconomics - - Welfare Economics - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:eee:insuma:v:53:y:2013:i:3:p:551-568. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505554 .

    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.