Description: This article proposes a new term called the risk surface to enhance risk communications.

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: The panel discusses: 1. How fund transfers may affect expense recoveries through fee revenue 2.How transfers between fixed and variable funds may impact required capital 3. Product design features that affect the risk profile of the product and 4. Modeling considerations to quantify the policyholder behavior risk. From session 113PD of the 2001 Toronto Spring Meeting.

Description: There is no “industry standard” approach to managing the vega (volatility) risk inherent in Variable Annuity Guarantees, Fixed Indexed Annuities and other equity-linked obligations. In this session, we will introduce and analyze a range of reinsurance solutions, including full vega risk retention, full vega risk transfer and more sophisticated or custom structures that split the vega risk between the insurer and the reinsurer in various ways. We will also explore other approaches in bespoke risk coverage and show the impact of different assumptions on a generic “VA Guarantee Cost Estimate” that has been developed by Munich Re.

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: 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: Managed strategies as underlying investments in VA/FIA products have seen spectacular growth since the financial crisis. The speakers of these sessions will share their views on the development of this market and what is expected to unfold over the next 12 months in regard to the next generation of products and fund-based strategies.

Description: Description of the increased gamma of the liabilities of a portfolio of variable annuities. Discussion of the sensitivity of gamma due to changes in policyholder behavior.

Description: 2011 Enterprise Risk Management Symposium. Chicago. This is the abstract of the entitled paper.

Description: The speaker will discuss the training of neural networks to compute future Greeks of liabilities (or options) without the use of nested stochastics.