Description: “In this session, the presenters will share with you the industrial practice for constructing the mortality table from 0 to 1. It covers the journeys in both Hong Kong and Singapore and summarize the key takeaways from these journeys. Besides, the speakers will share with you their biggest challenge during their process, how they resolve this, and address the most common technical issues faced in conducting the mortality tables. Any fellows interested in these topics are most welcome.“

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: 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: 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: A description of a new method for deriving PBA prudent estimate assumptions from company experience.

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

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: This paper outlines a statistical modeling framework for fitting mortality laws to mortality experience data. The process can be used as an alternative to traditional graduation techniques used in mortality table development.

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.

Description: A discussion about the effects of living to 100 on the insurance industry.