Actuaries have consistently played a key role in the development of Canada’s system of social protection. As such, this discussion highlights the many areas for actuarial advice as we try to improve this system for Canadians in the post-COVID era.
The Rolling Stones are back on tour this fall, despite the recent passing of drummer Charlie Watts, proving that old age and impending mortality don’t have to be impediments when it comes to being a rock star. But they’re not the only ones. Several performers from the classic rock can still be seen making new music and touring, even as they reach ages when most of us hope to be well into...
Consensus on the potential impact of population aging on asset values varies from the benign to the extreme. Despite little consensus, the effect of population aging on investment returns remains a hot button topic within academic literature.
The increasing availability of big data and the use of predictive analytics are changing how insurers and actuaries operate. As companies face growing competitive pressures to perform, knowing how to mine and recognize the importance of data, in all forms, becomes a prime advantage.
Data science and actuarial science are both multidisciplinary in nature; they extract insights from data and require strong understanding of the underlying business processes and domain knowledge to be successful at accomplishing the task. A deeper understanding of data science can allow actuaries to leverage data science results in their work and find more applications in emerging practice areas.
Canadian Institute of Actuaries
360 Albert Street, Suite 1740
Ottawa, Ontario K1R 7X7
SeeingBeyondRisk@cia-ica.ca