Description: Discusses various quick fixes for Y2K computer issue.

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

Description: This discussion examines the relationship of Operations Research to the actuarial profession, the extent traditional actuarial work can be regarded as Operations Research, types of life insurance company problems lending themselves to Operations Research study, and the relationship of electronic data processing field to Operations Research.

Description: The article provides an update on the 2019 ERM Symposium with regard to date, location and content (General Sessions and Concurrent Sessions).

Description: Today's actuarial teams dedicate substantial time and resources to maintain strong frameworks for risk management and control. Current practices typically endure this as a sunken cost, yielding minimal value beyond SOX/MAR/COSO compliance and basic error prevention. With a small up-front time investment, and a willingness to approach these activities with an open mind, the functionality of existing compliance activities can be completely transformed. Compliance activities, once a sunken time cost, can be elevated to deliver more insightful analysis to stakeholders.

Description: Results of the 2020 survey on the effects of the Pandemic

Description: Results of a Survey of JRMS members re claims changes due to COVID

Description: Mortality risk is the risk that a portfolio will suffer from mortality being heavier than expected. Longevity risk is the risk that a portfolio will suffer from mortality being lighter than expected. From Reinsurance Section News, November 2007, Issue No. 61.

Description: The article provides an update on the 2019 ERM Symposium with regard to date, location and content (General Sessions and Concurrent Sessions).

Description: This paper employs the theory of real option pricing to address problems in the area of operational risk management. Particularly, it develops a two-stage model to help firms determine the optimal triggers in the event of an influenza pandemic. The first stage proposes a regime-dependent epidemic model to simulate the spread of the virus, depending on whether the firm is active or inactive. The second stage views the reactivation decision as a call option and the suspension decision as a put option, and uses dynamic programming method to determine the optimal switching thresholds.