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Optimal Enterprise Risk Management and Decision Making With Shared and Dependent Risks

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  • Jing Ai
  • Patrick L. Brockett
  • Tianyang Wang

Abstract

Dynamic enterprise risk management (ERM) entails holistic decision making for critical corporate functions such as capital budgeting and risk management. The interplay across business divisions, however, is complicated due to their natural interactions through risk exposures that are shared and dependent across an intricate corporate structure. This article develops an integrated optimization framework via a copula‐based decision tree interface to facilitate ERM decision making to meet the specified enterprise goal in a multiperiod setting. We illustrate our model and provide managerial insights with a case study for a financial services company engaged in both banking and insurance businesses.

Suggested Citation

  • Jing Ai & Patrick L. Brockett & Tianyang Wang, 2017. "Optimal Enterprise Risk Management and Decision Making With Shared and Dependent Risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1127-1169, December.
    • Handle: RePEc:bla:jrinsu:v:84:y:2017:i:4:p:1127-1169
    DOI: 10.1111/jori.12140
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    Cited by:

    1. Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
    2. Patrick Dahmen, 2023. "Organizational resilience as a key property of enterprise risk management in response to novel and severe crisis events," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 26(2), pages 203-245, July.
    3. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.

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