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: 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: 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.

Description: These are the discussant comments for the concurrent session 4A: Longevity in the Public Eye from the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This article discusses the sources of the information in the Social Security Death Master File and the potential utility of this information for demographic studies of centenarians and near-centenarians.

Description: This paper identifies some of the special ERM considerations that a corporation which has employees who are members of a multi-employer pension plan, MEPP, should include in its ERM program. The focus of the paper is on the MEPP as an entity and tools to be used in its ERM. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: Presented at Living to 100 symposium, January 2011. Using data from Social Security's Death Master File, this study shows that mortality deceleration in humans observed at advanced ages may be an artifact caused by age exaggeration, data heterogeneity or use of improper estimates of hazard rate. The phenomenon of mortality deceleration at older ages vanishes for datasets of higher data quality.

Description: This is the informal discussion transcript for Concurrent Session 2A: Drivers of Future Mortality for the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This is the transcript for Session 5B : What is Different Today for Post-retirement Financial Planning? from the 2017 Living to 100 Symposium in Orlando.