Description: From a teaching session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Discussion of realistic liability models for use in asset adequacy analysis, asset/liability management, pricing/repricing, financial reporting, or other purposes.

Description: Slides from a session at a meeting of the Society of Actuaries held in San Diego, CA, June 22-23, 2000 This session discusses recent developments within the American Academy of Actuaries and the National Association of Insurance Commissioners with regard to reserving requirements for equity-indexed annuities and life insurance.

Description: From a session at the Spring regional meeting of the Society of Actuaries held in Atlanta, Georgia, May 24-25, 1999 Year 2000 and Beyond: Society of Actuaries New Course: Applied Modeling Demonstration Charts 1 & 2 from that presentation

Description: This session at the 1997 Valuation Actuary Symposium focuses on modeling issues for variable annuities from both a statutory and GAAP standpoint. Valuation actuary issues with respect to variable annuity modeling is also discussed.

Description: This session at the 2003 Valuation Actuary Symposium discusses advanced modeling techniques. Focus is on advanced liability and asset modeling issues, model distinctions between types of variable annuity guarantees, stochastic mortality, stochastic-on-stochastic modeling, and alternatives to stochastic modeling.

Description: 1996 Valuation Actuary Symposium. Topics discussed in this session included developing an approach to quantifying C-3 risk and exploring ways to improve the C-3 component of the NAIC RBC formula.

Description: This presentation develops an integrated approach that addresses simultaneously guaranteed annuity option (GAO)’s pricing and capital requirement calculation.

Description: This presentation explores the applicability of multiple population versions of the Lee-Carter model in the modelling of mortality by cause of death and socio-economic stratification.

Description: The U.S. health care industry has gone through a dramatic change during the past several years. The business model has moved from a risk selection model to a risk management model. People can shop online for their health care coverage. Everyone is welcome! Annual and lifetime dollar limits, underwriting and the pre-existing conditions exclusion are all in the history book now. Facing the challenges of the post-reform era, many health insurance carriers began using big data analytics on all aspects of their decision-making processes. The goal is to be able to compete on analytics in this quickly changing environment. However, becoming an analytics competitor is not easy. It requires the belief from the leadership and a group of dedicated analytical professionals to solve emergent business problems that existing strategies cannot address in an evolving market. These problems include marketing for acquisition and retention, coding accuracy, revenue growth, health care disparity, payment integrity, quality of care, health care cost reduction and, ultimately, personalized care management. In this section, audience will learn a basic understanding of the role of predictive analytics in US Healthcare marketplace.

Description: Charts 1-5 to be attached to the 2000 Valuation Actuary session on demutualization issues.