Description: Feature article discussing one of the themes of last year’s Living to 100 Symposium; socio-economic differences in mortality.

Description: Socio-economic mortality differentials are important to insurers, reinsurers as well as the general public. Detecting them, tracking them and explaining them is the subject of ongoing research and debate within the actuarial community as well as the wider public. The intention is to raise awareness within the reinsurance section membership for mortality differentials and concentration risk, as well as highlighting the value of interdisciplinary work and modern statistical methods. This intention overlaps with the goal of the SOA's Living to 100 Symposium, to be held in January 2017 in Orlando, Fla.

Description: A practical guide to survival models—Part 1.

Description: Drivers for mortality are apparently linked to socio-economic differentials within different societal groups. Actuaries are not the only profession interested in unravelling the mystery of why different groups within society experience such different mortality rates. The author gives examples from occupational pension plans in Canada, the UK and Germany.

Description: Summary of SOA research report "Optimizing Risk Retention" which applies parametric survival models and Monte Carlo simulation to a block of term life business.

Description: Comments on session 1A presentations

Description: A research paper that outlines a seamless method of deriving assumptions for modern reserving and solvency capital requirements from a company’s own data.

Description: The article summarizes three papers presented at the 2014 Living to 100 Symposium V, which was hosted by the SOA in Orlando in January 2014. The papers take three different views of retirement saving: the individual's, the insurance provider's and a wholesale risk management view. David Blanchett of Morningstar proposes a new model to assess the true cost of retirement, Moshe Milevsky proposes a new product concept based on the nearly forgotten tontine and Johnny Li proposes a new set of mortality indices based on the Cairns-Blake-Dowd projection model for the purpose of actively managing mortality and longevity risk.

Description: This practical guide provides actuaries who develop tables from experience data with a statistical modeling framework that can be used as an alternative to traditional graduation techniques.

Description: Process risk, estimation error, model uncertainty, trend risk and catastrophe risk are the five main components of longevity risk uncertainty. In the face of this daunting uncertainty, what should the actuarial practitioner do? This session focuses on assessing model uncertainty, process risk and estimation error in mortality modeling. Besides discussing the theory behind methods for performing the assessment, presenters provide attendees with practical examples using R to help them in applying the methodologies and concepts presented.