Lang mae yer lums reek: Resolutions for 2019
3 January 2019
Of course, New Year is a popular time for turning over a new leaf and setting some personal goals. Have you set any 2019 resolutions?
Club Vita's Top Charts: Life Expectancy Trends Around the World
23 October 2018
In this edition Longevity Consultant, Nick Chadwick, takes a closer look at recent changes in life expectancy in different countries around the globe.
Club Vita's Top Charts: Balancing value and risk when insuring sub-groups of pensioners
14 September 2018
In this edition Longevity Modeler, Chuyi Yang, looks at the benefits of individual assumptions when assessing the value of longevity insurance for sub-groups of pension plan participants.
Club Vita's Top Charts: Key ages in longevity risk
4 June 2018
In this edition UK Head of Longevity Modeling, James Maloney, shows that when it comes to life expectancy for new pensioners, it is mortality rates in people’s late 70s and 80s that make the most difference.
The case for longevity "time zones"
16 April 2018
The evidence of diversity in life expectancy is overwhelming, and the uncertain timing of future medical breakthroughs increase demand for insurance. But, the resources required - risk capital and actuarial skills - are limited. So how do you meet demand in the most efficient way? Douglas Anderson, Founder of Club Vita discusses.
Club Vita's Top Charts: The Bee-Swarm Chart - Illustrating Diversity
5 April 2018
In this edition Club Vita's UK Membership Secretary, Steve Hood, shows a chart that illustrates why it is important to capture and use all available information when setting longevity assumptions for pension plans.
Lang may yer lums reek!
29 December 2017
Douglas Anderson takes a look at what uncertainty 2018 may hold.
VitaMins: Gaming the longevity lottery - the search for the causes of longevity variations
22 May 2017
Two recent pieces of research really move on our understanding, taking the lengthy investigation in an unexpected direction. Since the 1960s, public health research has suggested that differences in lifestyles (smoking, drinking, diet and exercise) explain much of the variation in postcode longevity. Of course, these statistics are merely saying that the habits of people living in certain areas are associated with low or high life expectancy, and don’t prove beyond reasonable doubt that the habits are necessarily causing the variation in life expectancy.