Description: The personal auto insurance industry is constantly changing. There are small and steady changes over time (e.g., inflation affecting the cost of repairs or general progress in the safety of vehicles) and sharp spikes (e.g., disasters and legislation). That change has never been more apparent with the Covid-19 pandemic, civil unrest, and driverless cars all presently having a significant impact on personal auto insurance.

Description: In this paper, we propose a novel class of propagation models to study the cybersecurity risks in fog computing cased IoT architectures, which are significantly different from the quantitative frameworks used in the existing cyber-related works within actuarial literature.

Description: The rapid advancement of technology today will revolutionize how humans interact with their vehicles in the near future. Vehicle manufacturer initiatives to incorporate new technology into their products should usher in societal benefits such as improved driving safety, enhanced fuel efficiency and potentially lower costs for insurance.

Description: This report proposes a methodology to isolate crop yield improvement due to technological change and favorable and unfavorable weather.

Description: Integrated Assessment Models (IAM) combine scientific scenarios that project changes in greenhouse gas (GHG) levels, resulting in global temperature increases and meteorological volatility when GHG increases, with quantitative economic models expanding on an aligned narrative.

Description: This report captures expert insights from a March 2025 roundtable on how generative AI is shaping actuarial work and insurance industry practices.

Description: Excel spreadsheet that support the Quantification of Cyber Risk for Actuaries report.

Description: This report provides an exploration of the potential impact of Artificial Intelligence (AI) on medical malpractice claims, with a focus on one specialty (radiology) and one state (New York). The discussions in this report are targeted to actuaries who are interested in developing a method to quantify the potential impact of AI to their own medical malpractice portfolio or to their own work.

Description: This research report develops a framework for modeling and pricing cybersecurity risk.

Description: This report considers a hybrid portfolio that combines life and general insurance aspects.