Description: This presentation was given at the 2016 SOA Annual Meeting and presents results of an Older Issue Age Mortality Analysis

Description: Under long-duration targeted improvements (LDTI), there are a few insurance liability balances that now are required to be fair valued, market risk benefit (MRB). The session will start from all the applicable balances that are required to be fair valued under LDTI ((i.e., MRB, financial accounting statement (FAS) 133, value of business acquired (VOBA) upon business combination)). The session will use a case study to discuss some of the nuances and general considerations for an MRB, FAS 133 and VOBA balances for a business combination for an fixed indexed annuity (FIA) contract. The case study will discuss some MRB fair value considerations and followed by FAS 133 fair value techniques. It will go over VOBA fair value estimation by using actuarial appraisal method with a few twists (e.g., using market yield in generating distributable earnings is better than using book yield and adjusted to bring it to fair value later on).

Description: In this webinar, the presenters will give a behind the scenes look at how the NAIC ESG was parameterized. They will also share the results of its most recent calibration.

Description: With higher interest rates and aging populations, the Bermuda offshore reinsurance market has been heating up, particularly to firms backed by asset management firms and private equity. Increased competition along with changing regulatory requirements, and evolving expectations around model governance have actuaries facing heavier production and results explanation workloads. This creates additional challenges on top of an already complex Bermuda reporting regime, particularly with the Scenarios-Based Approach (SBA) and Bermuda Solvency Capital Requirement (BSCR).

Description: This article discusses the structure of and the dangers posed by Stranger-Originated Life Insurance STOLI.

Description: Future mortality improvement is an important assumption in the valuation of life insurance and annuities. In this session, presenters will discuss the work of the Mortality Improvement subgroup of the American Academy of Actuaries’ Life Experience Committee and the Society of Actuaries’ Preferred Mortality Oversight Group Valuation Basic Table Team in developing mortality improvement scales for AG-38 and VM-20. In addition, two recent SOA efforts on mortality improvement will be examined. Research on developing a broader framework for modeling mortality improvement assumptions is being developed to enable U.S. actuaries additional ways to follow a consistent approach across a variety of actuarial practice applications. Results from a study on U.S. population mortality by socioeconomic category and how it fits into the broader consistent framework will be presented. Additionally, results of a survey on mortality improvement practices of life insurance companies and reinsurers in Canada and the U.S. will be shared.

Description: This article discusses the details of being classified as cognitively impaired, particularly the relationship between being classified as cognitively impaired and subsequent mortality experience and the effect of cognitive impairment on mortality rates.

Description: This is a presentation of the results of the referenced mortality study, and it is the latest in continuing annual reports on intercompany mortality experience under standard individually underwritten life insurance.

Description: This 2008 supplement addresses the issues that have arisen in life insurance tax laws related to IRC 7702 and 7702A since the book was published in 2004. It also enhances and clarifies issues that were addressed in the text, adding detail and further discussion.

Description: Following recent market volatility and regulatory changes, market data and market-consistent economic scenarios are at the core of the valuation of liabilities and market risk benefits under regimes such as IFRS 17 and Long Duration Targeted Improvements. This webcast will explore options available to insurance companies to establish stable long-term volatility assumptions and discuss how the choice of financial data can impact the calibration and the simulation of credit spread scenarios.