Description: This session from the 2003 SOA Orlando Meeting covers the growing area of enterprise risk management ERM. It provides an overview of an ERM framework as well as issues and challenges of implementation. From the Record of the Society of Actuaries, Volume 29, No. 3.

Description: This session 160 TS of the 2001 SOA Annual Meeting explains Guaranteed minimum income benefits GMIBs, guaranteed minimum accumulation benefits GMABs, guaranteed minimum death benefits GMDBs, and death benefits designed to cover the approximate income tax on the gain in the contract all provide additional protection for the purchaser, but they may also bring added risk to the insurer. From the Record of the Society of Actuaries, Volume 27, No. 3, Session 160TS.

Description: Presenters in this session 14TS of the Monteal Spring Meeting introduce seasoned actuaries to the new material on the Finance Track of the Education and Examination syllabus. From the Record of the Society of Actuaries, Vol. 23, No. 2.

Description: In this session 94PD of the SOA Annual Meeting in New York the panel examines the communications link between the technical world of actuarial measurement based on cash-flow testing and the real world or daily and strategic decision making at top levels of insurance companies. From the Record of the Society of Actuaries, Vol. 24, No. 3.

Description: This presentation from the 1995 SOA Vancouver Meeting presents the results of risk adjusters' research in health insurance including risk adjustment in various states, the effect of community rating, biased selection and risk adjustment and methods of risk adjustment. From the Record of the Society of Actuaries, Vol. 21, No. 3a.

Description: Panelists discuss some of the latest developments and actuarial involvement in the area of risk management for insurance companies. Included is a discussion of value-at-risk [VAR]. From the 1997 Record of Society of Actuaries, Vol. 23, No. 3.

Description: The proposed revisions to the variable annuity statutory framework and the FASB targeted improvement for long duration contract, motivate life insurance companies to re-evaluate their hedging strategy. Recently proposed revisions of AG 43/VM-21 and C3 Phase II, reward companies that have a clearly defined hedging strategy, if the companies can demonstrate that the valuation model and capital model can estimate real hedge performance accurately. The speakers of this session will discuss the hedging implication of the proposed AG 43/VM-21 and C3 Phase II framework. Additionally, methodology computational requirements, back-testing results under different economic scenarios and the resulting hedge credits of different hedging strategies will be compared, including explicit dynamic hedge and implicit dynamic hedge. The speakers will also touch on the impact of rebalance frequency on the performance of dynamic hedge. Case studies will be presented to provide guidance on practical implementation.

Description: This session from the Washington Spring Meeting provides an update on variable annuity VA riders, including guaranteed minimum death benefits GMDBs, guaranteed minimum income benefits GMIBs, guaranteed minimum accumulation benefits GMABs and guaranteed minimum withdrawal benefits GMWBs. From the Record of the Society of Actuaries, Volume 29, No. 1, Session 21pd.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy