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An Insurance Model for Risk Management of Process Facilities

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  • Seyed Javad Hashemi
  • Faisal Khan
  • Salim Ahmed

Abstract

Most existing risk management models for process industries do not consider the effect of insurance coverage, which results in an overestimation of overall risk. A model is presented in this article to study the effect of insurance coverage of health, safety, environmental, and business risks. The effect of insurance recovery is modeled through the application of adjustment factors by considering the stochastic factors affecting insurance recovery. The insurance contract's conditions, deductibles, and policy limits are considered in developing the insurance recovery adjustment factors. Copula functions and Monte Carlo simulations are used to develop the distribution of the aggregate loss by considering the dependence among loss classes. A case study is used to demonstrate both the practical application of the proposed insurance model to improve management decisions, and the mitigating effect of insurance to minimize the residual risk.

Suggested Citation

  • Seyed Javad Hashemi & Faisal Khan & Salim Ahmed, 2019. "An Insurance Model for Risk Management of Process Facilities," Risk Analysis, John Wiley & Sons, vol. 39(3), pages 713-728, March.
  • Handle: RePEc:wly:riskan:v:39:y:2019:i:3:p:713-728
    DOI: 10.1111/risa.13179
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    References listed on IDEAS

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    1. Taleb, Nassim Nicholas, 2007. "Black Swans and the Domains of Statistics," The American Statistician, American Statistical Association, vol. 61, pages 198-200, August.
    2. Kole, Erik & Koedijk, Kees & Verbeek, Marno, 2007. "Selecting copulas for risk management," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2405-2423, August.
    3. Lu, ZhiYi & Meng, LiLi & Wang, Yujin & Shen, Qingjie, 2016. "Optimal reinsurance under VaR and TVaR risk measures in the presence of reinsurer’s risk limit," Insurance: Mathematics and Economics, Elsevier, vol. 68(C), pages 92-100.
    4. Mills, Evan, 2003. "The insurance and risk management industries: new players in the delivery of energy-efficient and renewable energy products and services," Energy Policy, Elsevier, vol. 31(12), pages 1257-1272, September.
    5. Haitao Yin & Alex Pfaff & Howard Kunreuther, 2011. "Can Environmental Insurance Succeed Where Other Strategies Fail? The Case of Underground Storage Tanks," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 12-24, January.
    6. K. Goda & H. P. Hong, 2008. "Implied Preference for Seismic Design Level and Earthquake Insurance," Risk Analysis, John Wiley & Sons, vol. 28(2), pages 523-537, April.
    7. Andreas Tsanakas & Evangelia Desli, 2005. "Measurement and Pricing of Risk in Insurance Markets," Risk Analysis, John Wiley & Sons, vol. 25(6), pages 1653-1668, December.
    8. Hanger, Susanne & Bayer, Joanne & Surminski, Swenja & Nenciu, Cristina & Lorant, Anna & Ionescu, Radu & Patt, Anthony, 2017. "Insurance, public assistance and household flood risk reduction: a comparative study of Austria, England and Romania," LSE Research Online Documents on Economics 83634, London School of Economics and Political Science, LSE Library.
    9. Ferreira, Doneivan & Suslick, Saul & Farley, Joshua & Costanza, Robert & Krivov, Sergey, 2004. "A decision model for financial assurance instruments in the upstream petroleum sector," Energy Policy, Elsevier, vol. 32(10), pages 1173-1184, July.
    10. Wetherell, Daniel & Evensen, Darrick, 2016. "The insurance industry and unconventional gas development: Gaps and recommendations," Energy Policy, Elsevier, vol. 94(C), pages 331-335.
    11. Le, Thai-Ha & Chang, Youngho, 2013. "Oil price shocks and trade imbalances," Energy Economics, Elsevier, vol. 36(C), pages 78-96.
    12. P. Bubeck & W. J. W. Botzen & J. C. J. H. Aerts, 2012. "A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior," Risk Analysis, John Wiley & Sons, vol. 32(9), pages 1481-1495, September.
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