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 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: Global financial crises like the one recently experienced, affected both large and small institutions.Today, when there is heightened need for enhanced risk management tools, some entities are unable to employ sophisticated mechanisms due to limited data availability. Moreover, from the Basel Committee on Banking Supervision’s point of view via Basel II and Basel III, the internal ratings- based (IRB) approach requires that institutions have some reliable estimates of default probabilities of default for each rating grade. Taking the work of previous researches a step further, this paper intends to propose a new dynamic mechanism to for the risk management industry for to calculateing probabilities of default (PD). Through these estimates for the core model, we generate implied probability of default (PD) through actuarial estimation tools and different probability distributions. This mechanism is specialized to work best for low- defa ult portfolios (LDPs). Furthermore, scenario testing is adopted to validate the model against any model- specific bias

Description: Read the March 2017 issue of Risk Management published by the Joint Risk Management Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Read the French language version of the March 2017 issue of Risk Management published by the Joint Risk Management Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: We analyze how volatility management techniques in VAs affected policyholders and insurance companies

Description: Hear from the editor’s on the December 2018 issue of Risk Management published by the JRMS.

Description: When companies engage in risk management activities, they can be seen as modifying their distributions of future outcomes. Often, this takes the form of trading off a sure cost for a decrease in some potential risk of loss. Companies may carry out these activities with several goals in mind, such as reduction in earnings volatility or preservation of capital. This paper will demonstrate a method for evaluating possible strategies by dividing the effects on costs and risks into three tranches: earnings, impact and estate. The tranches can be associated with different interests of the various stakeholders. This trifurcation analysis can help to explain the risk-reward trade-offs of different risk treatment alternatives and can aid in risk-related decisionmaking.

Description: This paper provides a description of a system using statistical spatial methods for measuring, analysis, and managing ERM losses. An example of its application to a delinquency rate in a residential mortgage portfolio analysis demonstrates how this methodology can help decrease a company’s exposure in high-risk areas and increase exposure in low-risk areas.

Description: From a session at a meeting of the Society of Actuaries held in San Diego, CA, June 22-23, 2000 A discussion of liquidity management for life insurance companies marketing institutional clients, in particular with respect to GIC contracts and Funding agreements. Topics included: · What happened at General American with their defaults on funding agreements. Why did the regulators and rating agencies miss the problems? · What was the impact of reinsurance? · What is the effect of adding institutional business such as putable funding agreements on liquidity management? · Are there prudent levels of this business that can be beneficial? · What is the effect of funding agreements with downgrade provisions on liquidity risks, and do such provisions create a preference for sophisticated institutional contract holders?