Description: Transcript of the Q&A period from session 2A.

Description: This is the informal transcript from Session 1A: Data Sources and Analysis from the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This is the transcript from Session 3C: Challenges and Strategies for Financing an Increasingly Long Life from the 2017 Living to 100 Symposium in Orlando.

Description: A call for essays issued by the SOA Health and Long Term Care Sections on the visions for the future of the U.S. health care system.

Description: Chapter 2 describes the general categories of results that the study gleaned from the vast amount of data gathered: active mortality rates, disablement rates, termination rates, retirement rates, retiree morality, disabled mortality, interest rates, and salary scales. From A Study of Public Employees Retirement Systems, M-RS96-1.

Description: Appendix B presents several life samples comparing the benefits and funding before versus after the addition of the DROP feature. From Design and Actuarial Aspects of Deferred Retirement Option Programs, M-RS03-2.

Description: The basic thesis posed by this overview is that a mixed strategy, involving both savings and labor force components for the challenge of the graying of the developed world is a good public, corporate, and individual strategy. From The Old-Age Crisis - Actuarial Opportunities -The 1996 Bowles Symposium, M-RS99-1.

Description: Chapter 8 describes the behavior of the AFOREs, how the funds could have performed minus the restrictions, and private company performance. From Retrospective and Perspective Analysis of the Privatized Mandatory Pension System in Mexico, M-RS02-1.

Description: This paper is about the world's oldest-old population - those 80 years and older - and their life expectancy. It provides a few methods for extending the life tables to age 100 and beyond, and projects mortality patterns at very old ages.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.