Description: Full version of Small Talk Newsletter, June 2007, Issue No. 28.

Description: Discusses Aug. 23, 2007, meetings in Salt Lake City, Utah, about principles-based approach for both reserves and risk-based capital, RBC.

Description: The article is Part 1 of two articles that provide a case study for the development of a profitability and risk dashboard. The sample dashboard provides distilled information regarding actual to expected (A/E) ratios for key risks, agent quality scores and customer value scores. The dashboard would also provide the value of new business written, surplus strain, debit balances, and expected losses on debit balances at different levels, down to the agent level. A product mix index is provided, together with visual comparisons of key metrics to the company's business plan. The Part 2 article will add information to the dashboard regarding risk margins, target capital, and company value.

Description: This is the second article in a two-part series examining the potential value to companies of implementing a company profitability and risk dashboard.

Description: The Society of Actuaries Smaller Insurance Company Section, the Financial Reporting Section, and the Committee on Life Insurance Research are pleased to make available new research investigating simplified methods for determining reserves under VM-20.

Description: The outcome of NAIC proposals is shaped by those who participate.

Description: Full version of Small Talk Newsletter, November 2007, Issue No. 29.

Description: Building on the Part 1 article, Introduction to the Representative Scenarios Method, this article describes testing the methodology with respect to four product types, fixed indexed annuities with GLIBs, level term life insurance, universal life with secondary guarantees, and variable annuities with GLWBs. This Part 2 article describes testing results, refinements to the RSM methodology, and next steps.

Description: Proposes an approach to develop dynamic assumptions for living benefits using a combination of available experience data and predictive modeling techniques.

Description: Describes a process for identifying relevant industry experience to credibility-weight with relevant company experience to set modeling assumptions and margins.