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Minimizing the Cost of Risk With Simulation Optimization Technique

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  • Yu Lei

Abstract

For risk managers, one overarching goal is to help their organizations maximize stakeholders’ value, which can be achieved by minimizing the cost of risk. Oftentimes such optimization decisions have to be made under uncertainty. This article presents a teaching note that demonstrates how to use simulation‐based software to run optimization involving uncertain factors. Specifically, a hypothetical example regarding workers’ compensation claims cost was created to provide a step‐by‐step instruction for conducting simulation optimization.

Suggested Citation

  • Yu Lei, 2011. "Minimizing the Cost of Risk With Simulation Optimization Technique," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 14(1), pages 121-144, March.
  • Handle: RePEc:bla:rmgtin:v:14:y:2011:i:1:p:121-144
    DOI: j.1540-6296.2010.01193.x
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    File URL: https://doi.org/10.1111/j.1540-6296.2010.01193.x
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    References listed on IDEAS

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    1. Robert E. Hoyt & Lawrence S. Powell & David W. Sommer, 2007. "Computing Value at Risk: A Simulation Assignment to Illustrate the Value of Enterprise Risk Management," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 10(2), pages 299-307, September.
    2. Domingo Castelo Joaquin, 2007. "Loss Modeling Using Spreadsheet‐Based Simulation," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 10(2), pages 283-297, September.
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    Cited by:

    1. Joseph D. Haley, 2012. "An Insurance Pricing Game," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 15(1), pages 117-128, March.

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