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A Value at Risk Approach to Background Risk

Author

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  • Elisa Luciano

    (Università di Torino, Piazza Arbarello, I10122 Torino, e-mail: luciano@econ.unito.it)

  • Robert Kast

    ([1] 2CNRS, GREQAM, 2 rue de la Charité, F13302 Marseille, e-mail: kast@ehess.cnrs-mrs.fr [2] 3ICER, Villa Gualino, Torino)

Abstract

This paper studies the effects of an uninsurable background risk (BR) on the demand for insurance (proportional and with deductible). We study both the case of BR uncorrelated with the insurable one and the perfectly correlated one, in a Gaussian world. In order to perform our study, we exploit the new risk measure known as Value at Risk (VaR) and consider insurance contracts which are Mean-VaR efficient. We obtain results which depend on the parameters (moments) of both risks and on the magnitude of loadings charged by the insurance company, instead of depending on the risk attitudes of the insured, such as risk aversion and prudence.We demonstrate that, if loadings are not too high, the demand for insurance increases with positively correlated BR; it decreases with BR negatively correlated if the latter is less risky than the insurable one (in this case it can even go to zero, if loadings are too high); it goes to zero with BR which is negatively correlated and more risky than the insurable one. The Geneva Papers on Risk and Insurance Theory (2001) 26, 91–115. doi:10.1023/A:1014303013248

Suggested Citation

  • Elisa Luciano & Robert Kast, 2001. "A Value at Risk Approach to Background Risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 26(2), pages 91-115, September.
  • Handle: RePEc:pal:genrir:v:26:y:2001:i:2:p:91-115
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    Cited by:

    1. Dana, Rose-Anne & Scarsini, Marco, 2007. "Optimal risk sharing with background risk," Journal of Economic Theory, Elsevier, vol. 133(1), pages 152-176, March.
    2. Dannenberg, Henry, 2006. "Die Verlustverteilung des unternehmerischen Forderungsausfallrisikos – Eine simulationsbasierte Modellierung," IWH Discussion Papers 10/2006, Halle Institute for Economic Research (IWH).
    3. Lu, Zhiyi & Meng, Shengwang & Liu, Leping & Han, Ziqi, 2018. "Optimal insurance design under background risk with dependence," Insurance: Mathematics and Economics, Elsevier, vol. 80(C), pages 15-28.
    4. repec:dau:papers:123456789/698 is not listed on IDEAS

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