Description: Panelists at this session of the SOA 2004 San Antonio Spring Meeting discuss the implications of a Statement of Position [SOP-03-1]. Reserving issues related to common features of variable annuities, universal life and variable universal life are explored.

Description: Presented at October 1986 Annual Meeting. This session discussion is about how capital should be measured, cash flow based surplus, what performance measures are reliable, return on equity, book gains, terminal funds, how much surplus is needed, business planning for future capital needs, capital restructuring, how should multiple risks be combined and qualitative issues versus numbers as they relate to future growth.

Description: As the Valuation Manual continues to evolve and PBR standards for additional products are drafted and incorporated, it will become increasingly important for companies to understand where the requirements are consistent across products, as well as how they differ. This session will scan the life (VM-20) and annuity (VM-21, VM-22) PBR standards across the Valuation Manual to compare and contrast key requirements. Attendees will understand where common methods and techniques can be used across products and platforms. Attendees will also be better positioned to consider assumption and margin setting, asset and derivative modeling, and model efficiency techniques for all types of principles-based valuations. Additionally, this session will profile specific challenges that can arise when actuaries use models to project PBR reserves at future dates for internal planning, pricing, and projections across life and annuity businesses.

Description: Discusses: family group policies, company changes made in connection with small policies to counteract the increase n administrative costs, experience under juvenile policies that provide full coverage from date of issue, experience with reflecting policy size in premiums and dividends, adjusting age on male premium rates and values for female policyholders, and issue regarding supplemental term coverage and nonforfeiture values.

Description: This session at the 1998 Valuation Actuary Symposium examines Purchase GAAP accounting for life insurance acquisitions and identifies the major steps for implementing GAAP for acquisitions.

Description: This session is from the 1995 SOA Spring Meeting. Panelists discuss practical uses of derivatives, including interest rate and equity options and swaps. Specific derivatives include constant maturity Treasury CMT caps, equity-linked notes - ELNs and OTC puts. From Record of Society of Actuaries Vol. 21, No. 1.

Description: This session is a discussion about 1 Actuarial certification of statutory statements, 2 GAAP for mutual companies, and 3 use of interest in amortizing acquisition expenses.

Description: 2004 SOA Spring Meeting, Anaheim, CA. This panel discussed asset class/equity sector historical returns demonstrating the need for diversification risk management at the portfolio level and models and assumptions available at investment firms for retirement and education planning.

Description: Presented at May 1996 Spring Meeting. In this teaching session, various forms of asset-backed securities, e.g., credit cards, auto, home equity, commercial real estate, mobile homes, etc., are examined. Also discussed is basic structures and the risks and opportunities and critical parameters involved.

Description: Ever wanted to do a Kaggle data science competition, but didn't know where to start? This presentation meets the needs of actuaries interested in predictive analytics and competitive data science. The presentation will describe the nature of competitive data science, and provide insights into lessons learned by competing in the Airbus Ship Detection Challenge at Kaggle, as well as other Kaggle competitions. The presenters will provide an introduction to neural networks and describe the nature of the Airbus Ship Detection Challenge and other Kaggle competitions, plus a solution approaches that can be used to obtain top scores using Convolutional Neural networks (CNNs), random forests and boosted trees.