Description: An introductory article describing how Bayesian statistics has evolved over the past 20 years and why it offers the actuarial discipline powerful tools to better understand and manage risk. Compared with traditional (frequentist) and black-box (machine learning) approaches, Bayesian analysis provides explainable models focused on distributions of estimates instad of simply point estimates.

Description: Bringing together industry experts spanning investment management and property/casualty insurance, this panel discussion will take the audience beyond spelling ESG correctly and will share their insights about what Environmental Social Governance is.

Description: An update to the risk management readers on what the JRMS is planning to do over 2023 to serve its membership.

Description: Read the Joint Risk Management Section, Issue 44, May 2019 in french.

Description: The 2024 Dangerous Risks survey shows respondents react to recent increases in "old favorite" risks as technology evolves and the environment moves away from the pandemic.

Description: An Allstate–specific risk framework based on executive interviews and research conducted by the team.

Description: Note from the Council Corner providing an update to our JRMS members on recent / upcoming activities.

Description: Many ERM programs fail to include an active step of actual risk treatment and are therefore rightfully characterized as Entertainment Systems. Real ERM will use risk assessment to drive decisions about risk acceptance and risk mitigation. Entertainment systems use risk assessment to create reports and to hold discussions. No actions are taken often because ERM is not empowered to do anything.

Description: Latest in our on-going series in which we have a candid discussion with one the insurance industry's most respected and high profile risk practitioners