Description: Presented at September 1994 Valuation Actuary Symposium. Discusses analyzing and projecting financial risk in group health plans.

Description: Panelists discuss the importance of credit-worthiness to the customer of an insurance company, a brief history and description of the Standard & Poor's and Moody's rating systems, the efforts an insurance company goes through in obtaining ratings by outside agencies, the efforts required to maintain the ratings, and the importance of the ratings to the insurance company. From the 1987 Record of Society of Actuaries Vol. 13, No. 3.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: Essays advocating for incentive compensation linked to the level of risk in an organization.

Description: The adoption of FAS 158 forces sponsors of post-employment health benefit plans to consider how to manage the volatility that changes in medical care inflation create in the other postemployment benefits (OPEB) liability. By choosing carefully how the nominal discount rate used for the liability is decomposed into real rates and inflation, I illustrate that the true exposure to an OPEB plan is to the spread of medical care inflation above (or below) the overall inflation rate. The implication is that an effective immunization strategy exists that can eliminate most of the volatility in the OPEB account.

Description: This is presentations slides summarizing the many concepts presented in the research paper. “When Black Swans Aren’t: Holistically Training Management to Better Recognize, Assess, and Respond to Extreme Events”, by Guntram Fritz Albin Werther and Thomas Herget.

Description: Enterprise risk management ERM is for the measurement and the management of all significant risks of the business holistically irrespective of types and sources. The study offers significant advances in the current debate on the performance of enterprise risk management, in particular, minimizing the existing gap between the academic understanding and practitioners’ experience on the topic.

Description: The paper argues that Risks Evaluation at its core is a psychological process that can lead to the special type of chaos described in modern Chaos Theory. It will argue that quantification and scientific modeling does not exempt risk assessment from the potential for deep biases. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: The author uses football to demonstrate the axiom of downside risk, and how it can be applied in business situations when considering whether to use a conservative or aggressive approach.

Description: The academy generator is widely applied in actuarial practice. Initially confined to regulatory reserving, companies are increasingly using the AAA/SOA generator over an ever widening range of applications testing the limits of the academy generator's intended function. The session will give a brief overview of the academy generator and the asset classes it can be used to model. It will also analyze the statistical properties of the academy scenarios and discuss the scenarios relative to standard validation criterion. Some of the challenges that actuaries face in using this framework will be reviewed and options for addressing these challenges will be offered.