Description: This article provides a formulaic method of comparing unit reserves on different valuation bases. This enables a duration-by-duration comparison of the components of the calculation on two different valuation bases. This can be done ignoring taxes or assuming taxes are recognized in calculating the expected return on capital in pricing.

Description: The paper explores developments through 2006 in the application of market-consistent concepts to the measurement of fair values of liabilities for financial reporting purposes. A set of criteria is presented that should be useful in the evaluation of proposed fair value measurement approaches where inputs based on prices observed in an active market with reliable transaction prices are not available. Based on these criteria, one approach is examined that might serve as a basis for the fair value measurement of the liability of life insurance contracts and other financial instruments issued by insurers.

Description: Summary of SOA research report "Optimizing Risk Retention" which applies parametric survival models and Monte Carlo simulation to a block of term life business.

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: Metadata for entire issue

Description: Describes using the new multi-risk scenario generator to create sensitivity tests at moderately adverse probability levels, resulting in margins to use for PBR.

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

Description: The purpose of this article is to discuss potential issues and considerations that may be encountered with the implementation of VM 20. Crucial considerations include the modeling software used, validation effort, assumptions used, complexity of the process, documentation, and run time. A key takeaway is that an integrated modeling platform with solid automation and asset-liability capabilities is imperative for addressing the issues and considerations encountered.

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