Publication archives
Report: Assessing the Impact of Marijuana Decriminalization on Vehicle Accident
This study proposes data-driven and reliable tools for assessing the impact of changes in marijuana laws on vehicle accident experience, by harnessing the publicly available data with the power of modern statistical and machine learning techniques under the integrative framework […]
Research paper: Pandemics-Driven Scenario Generation
With the analysis of both the pandemic risk and its relationship with the economy, the pandemic risk-driven scenario generator (PSG) is designed based on the findings. It uses a basket of fitted distributions to generate pandemic events including frequency, severity, […]
Technical article: Pricing considerations due to COVID-19
This article discusses pricing considerations for multiple lines of businesses. It aims to assist P&C pricing actuaries in making considerations under these unique pandemic circumstances.
Research paper – Covid-19: Setting the stage for a basic minimum income plan
Canada has some experience with minimum income experiments; the 1970s Mincome experiment in three Manitoba towns is an example. The costs of the experiment were shared by the federal and provincial governments (Forget 2018). In 2016, Ontario announced a pilot […]
PCFRC – 2021 guidance to P&C actuaries: Special considerations due to COVID-19
Research paper: Pandemic Risk Management: Resources Contingency Planning and Allocation
This paper investigates contingency planning and resources allocation from a risk management perspective, as opposed to the prevailing supply chain perspective. The key idea is that the competition for limited critical resources is not only present in different geographical locations […]
Pandemic Modelling by the CIA Shows Fourth Wave Likely in Most Scenarios
New research by the Canadian Institute of Actuaries (CIA) provides enhanced modelling of potential COVID-19 scenarios in Ontario to help account for factors such as new variants, vaccines, seasonality, and dynamic government intervention measures.
Modelling the Future of COVID-19 in Ontario
Predicting future outcomes during the COVID-19 pandemic has been challenging due to ever-changing factors such as new variants, vaccines, seasonality, and dynamic government intervention measures. Further, we do not have a comprehensive understanding of the impact of these factors: we […]
Member’s paper: The Future of COVID-19 in Ontario: Variants, Vaccines, and Avoiding Future Waves
Throughout the COVID-19 pandemic, the one consistent theme has been the constantly changing environment, making it difficult to predict future outcomes. These changes have included new variants that are more infectious, the impact of vaccines, seasonality, and dynamic government intervention […]