Ai, Jing, authorBrockett, Patrick L., authorWang, Tianyang, authorThe Journal of Risk and Insurance, publisher2020-05-122020-05-122016-05-25Ai, J., Brockett, P., & Wang, T. (2017). Optimal Enterprise Risk Management and Decision Making With Shared and Dependent Risks. Journal of Risk and Insurance, 84(4), 1127–1169. https://doi.org/10.1111/jori.12140https://hdl.handle.net/10217/206708Includes bibliographical references (pages 27-29).Published as: Journal of Risk and Insurance, vol. 84, no. 4, December 2017, pp. 1127–1169. https://doi.org/10.1111/jori.12140.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 the shared and dependent risk exposures within an intricate corporate structure. This paper 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 multi-period 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.born digitalarticleseng©2015 John Wiley & Sons, Inc. Author can archive pre-print. Author can archive post-print but subject to the restriction: 2 years embargo.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.enterprise risk management (ERM)capital budgetingrisk dependencycopula modelingdecisions under uncertaintyText