Description: Hear from the editor’s on the March 2018 issue of Risk Management published by the JRMS.

Description: Statistics were invented to describe heterogeneity and are now applied to tackle alea. It may not be appropriate. Let's clarify their field of relevance.

Description: The well-known examples of predictive modeling “successes” are numerous. Perhaps less widely recognized is the myriad of ways in which a predictive model can fail to perform as expected, often due to misconceptions or misrepresentations on the part of the analyst. This article, which is intended for a general actuarial audience, focuses on three such pitfalls. By understanding these three common pitfalls, readers may guard against them within their own work, teams, and organizations.

Description: Hear from the editor’s on the December 2018 issue of Risk Management published by the JRMS.

Description: Is Risk/Return a sound tool for decision-making? No. It is not consistent, not objective, distorts decision and degrades governance. Why? What shall we do then?

Description: Although crisis management remain often seen through a “communication lens”, it has in reality more in common with risk management than usually thought. Both crisis and risk management are anticipatory endeavors, with most of the work being carried out in peace time; both require a deep understanding of the organization’s activities and ecosystem; both have the same overarching objective to enable the organization to survive a brutal change to its usual operating conditions. Developing integration between the two functions would thus go a long way toward a more resilient organization.

Description: Read the August 2016 issue of Risk Management published by the Joint Risk Management Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Information on the JRMS e-Library.

Description: This article describes methodologies for detection and deterrence of Medicare fraud. It also describes the validation of PRIDIT for fraud detection in Medicare.

Description: The article is based on a study of causes of insolvency and decisions made by management, regulators, and policyholders over the life cycle of the insolvency.