Description: Using population data, mortality rates are projected for people who will attain age 80 in the future. Finally, the distribution of the maximum age at death that will be attained by a Canadian is investigated.

Description: Discussion of paper presented at Living to 100 and Beyond symposium. Discusses paper by Guo and Wang on the use of data mining to determine the key factors affecting mortality rates at older ages.

Description: Discussion among experts. From 2005 Living to 100 and Beyond Monograph, M-LI05-1.

Description: Expert discussion on several previously presented papers. From 2005 Living to 100 and Beyond Monograph, M-LI05-1.

Description: This paper describes the intent and selection process for papers to be presented at the annual ERM Symposium. From 2006 Enterprise risk Management Symposium, M-AS06-1.

Description: The purpose of this paper is to build a bridge between the traditional methods of looking at financial risk and insurance risk. The paper starts by explaining the concepts behind VaR models of economic capital used in banking. Differences between actuarial and financial views of risk are reviewed and explained. The paper concludes with proposing, developing, and parameterizing a true VaR model of insurance loss reserve risk, which combines several lines of business. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: Discussion of Session 1B

Description: There are strong interactions between the population of Mexico and the Mexican-origin population in the United States MOP. The main purpose of this paper is the identification of relationships from the demographic and social security perspectives.

Description: Presented at Living to 100 Symposium, January 2011. This paper focuses on the issues confronting employers as they seek to manage their talent in a country with an aging population. It focuses on the goals of employers and employees and examines patterns of work as the population ages.

Description: Presented at Living to 100 symposium, January 2011. This paper presents a method for using death records to infer exposure on non-extinguished cohorts, thereby allowing the development of a credible table for high ages.