Description: This is a report on Phase 2 of a research project on the role of automated systems in life insurance underwriting. This paper discusses: 1. How and why companies are using automation to make underwriting decisions. 2. Its impact upon operational efficiency, sales, and retention. 3. The quality of risk selection produced by automated systems. 4. Cultural acceptance of increased automation in underwriting. 5. Challenges insurers must overcome to implement and maintain automated underwriting.

Description: 1992 SOA Annual Meeting, Washington, D.C. The stated purpose of this session was to discuss specifically how a company can manage and improve its financial performance as measured by the statutory financial statement. Eleven strategies to improve performance were addressed.

Description: Panelists discussed the implications of the growing trend in Canada toward demutualization of mutual companies into stock companies. Topics covered include: 1. The Canadian demutualization process and some interesting differences between companies and across borders. 2. How is eligibility determined? 3. What process is being used to determine allocation of shareholder value? 4. What mechanisms are in place to protect policyholders' reasonable expectations? 5. What internal and financial structural changes are driven by demutualization? 6. How financial markets assess stock value for companies operating internationally.

Description: This session will provide an overview of the evolution of equity-based guarantees (e.g. VA, FIA, etc.) over the last few years and discuss the current lay of the land as it relates to the regulatory, issues, capital markets (e.g. Department of Labor, Dodd-Frank) environment in which these products are offered.

Description: Managed strategies as underlying investments in VA/FIA products have seen spectacular growth since the financial crisis. The speakers of these sessions will share their views on the development of this market and what is expected to unfold over the next 12 months in regard to the next generation of products and fund-based strategies.

Description: The interest-adjusted method has come to be the most widely accepted method for comparing costs of individual life insurance policies. This paper presents a relatively simple modification of the interest-adjusted cost method that serves more general purposes satisfactorily. From Transactions of Society of Actuaries 1980, Vol. 32.

Description: Learn about key actuarial and analytic tools and methodologies used by commercial health insurance to identify and quantify drivers of healthcare cost and utilization (including wasteful and low-value ones) and risks. Use case scenarios in which these tools and methodologies apply, such as underwriting, reinsurance, medical management for population health and chronic diseases, managed care contracting, insurance market reform, provider payment reform, etc., will also be covered. Experience from the U.S., China and other parts of the world will be shared.

Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.

Description: This paper provides a description of a method that one can use to develop an estimate of accident year incurred losses if the only available data is aggregate paid losses by calendar year for a number of calendar years. An exhibit demonstrating the use of this method follows this description. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This paper discusses some powerful uses of recursive functions, including: 1. Universal life, both for the calculation of target premiums and reserves. 2. Paid-up Rider. Recursive functions can directly determine a premium that precisely matures the rider. 3. Traditional Whole Life. Reserves can be efficiently calculated when needed instead of referring to a table of stored factors. From Actuarial Research Clearing House 1993, VOL. 3.