Description: This April 2008 webcast, titled 'Understanding Changes During Retirement: Results of Two Studies' discussed the Society of Actuaries' 2007 Risks and Process of Retirement Survey and the Urban Institutes' Study on how older Americans spend their time. Additional references on 'What People Do' and other data sources are provided.

Description: The president of the SOA speaks about creating an actuarial 'brand'.

Description: Table of Contents for the 1999 annual meeting of the Society of Actuaries, held in San Francisco, October 1999

Description: In order to better meet the needs of the Society of Actuary members, a new special interest group is being formed that will deal with employee benefits. In preparation of forming this group, feedback was solicited through a survey as well as a brainstorming session open to all meeting participants during the June 2009 Health Spring Meeting. This presentation summarizes the results of the survey.

Description: This presentation shows results obtained from a mortality study based on Canadian pensioners data available from records of the Canada Pension Plan and Quebec Pension Plan as of December 31st, 2008. From Actuarial Research Clearing House

Description: This presentation relates to determining the next standards applicable for pension plan valuation in Canada, depending upon further decisions to be made by the Actuarial Standard Board-Conseil des norms actuarielles.

Description: This presentation studies the mortality prediction performance of the Lee-Carter model.

Description: A presentation that summarizes and analyzes the risks catastrophe bond investors are exposed to and have to be aware of.

Description: Reserving and ratemaking calculations are vital to how insurance companies perform financially. Current-day practices for predicting future loss ratio or pure premiums for reserving and ratemaking rates are not based on low prediction errors—mean squared error (MSE) criterion. This report provides mathematically optimal weights that lead to minimum MSE prediction errors, and the formulas are validated using retro-testing with real-world datasets. In this report, two main theorems are discussed, each addressing prediction of future loss ratio or pure premium and improving upon current practices for how rates and reserves are calculated.

Description: This article addresses the difficulties of risk modeling in a poor economic environment. The problems include imperfect vendors of data, facing events that have never occurred before, unpredictable consumer behavior, conflicting data sources, and AAA credit doesn't always mean AAA.