Description: An update on the activities of the JRMS

Description: There is value in a framework that allows a smooth transition from a qualitative assessment to a quantitative analysis as entities mature in their understanding of climate risk. In this report, a case study on climate change impact on home prices is used to illustrate a Bayesian network iterative approach to building a model for scenario analysis.

Description: With the growing threat of cyber incidents, organizations and governments are rightfully concerned. In recent years, cyber incidents have caused significant losses to entities and insurers across the world. Therefore, there is a need to understand and provide greater context around the topic of catastrophic cyber risk, which has implications for insurance companies, reinsurers, regulators, consumers, and society. Taking a multi-disciplinary, holistic approach, an expert panel study was conducted on catastrophic cyber risk in this four-part series of discussions and subsequent reports.

Description: To provide high level information on a book selected and discussed during the December book club session, The Ten Commandments of Risk Leadership. In addition, this article serves as a promotion of the SOA book club as well as the upcoming sessions.

Description: Highlights from the 8th Intercompany Long-Term Care Insurance Conference held in March 2008, consisting of 56 sessions covering a range of long-term care insurance LTCI topics each with a track-specific focus.

Description: This abstract describes a presentation that gives examples of more successful and less successful communications from the author’s research experience in actuarial risk management.

Description: Summary of recent SOA-sponsored research on Enterprise Risk Management practices as applied to health insurers, self-insured plans, and health finance professionals.

Description: This article proposes a new term called the risk surface to enhance risk communications.

Description: Joint Risk Management Section chairperson's corner, June 2023

Description: Introduces the concept of total risk analysis, a methodology used to answer questions like "what are the chances we will lose more than $1 million"