Description: This paper cautions against using expected utility theory for measuring insurance risk, because of the numerous inherent difficulties associated with it. Instead, an approach for loading gross premiums that is based on risk-measure functions is explored. Discussions of this paper are included.

Description: This paper examines the potential impact of increasing negative commentary by social media users in multiple forums, which can erode the “reputation capital” of a utility. It also offers an approach for successfully addressing that risk and integrating social media risk management practices into existing utility enterprise risk management (ERM) programs.

Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: This paper uses stochastic simulation technology to present a risk metric for defined benefit pension plans that provides improved measures of the plan's solvency and provides a tool for pension plan managers to determine the value of risk mitigation activities. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: Summary of recent surveys to life actuaries regarding assumptions surrounding policyholder behavior in the tail for universal life with secondary guarantees and minimum guarantees on variable annuities. This information is intended to examine and ultimately give guidance to actuaries on how to set policyholder assumptions in extreme scenarios.

Description: This abstract describes a paper that proposes the use of the Co Conditional Tail Expectation 'CoCTE' to measure systemic risk and endogenizes the pro-cyclicality of capital requirements.

Description: Abstract: This paper examines the potential impact of increasing negative commentary by social media users in multiple forums, which can erode the “reputation capital” of a utility. It also offers an approach for successfully addressing that risk and integrating social media risk management practices into existing utility enterprise risk management (ERM) programs.

Description: This dissertation by Tia Sawhney will help you understand this issue and start measuring it, or start promoting equitable public policy.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning with an application to risk management. The method relies on typical ANN components such as nodes, activation functions, and optimization through gradient descent.