Description: Panelists discuss employers' perspective of defining strategies to identify best-in-market opportunities. From the Record of the Society of Actuaries, Vol. 24, No. 1.

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

Description: Many top-performing businesses aren’t just risk aware, but rather risk intelligent. Such a posture helps prepare companies for a major event and can demonstrate to a regulator or auditor that an appropriately strong control framework is in place. Better still, companies gain real strategic value from a “risk adjusted” understanding not only of their threats and vulnerabilities, but also the upside opportunities associated with various risks. It starts with having both qualitative and quantitative information to identify, assess and manage risks. Strategic risk management, at its core, is about creating value by increasing transparency and accountability, and quality of information. More than a mere compliance exercise, effective risk management enables more informed strategic decision making, increased accountability and transparency, a greater likelihood of organizational success, and – ultimately – competitive advantage, as borne out by many studies that correlate risk management and financial results.

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.

Description: Other articles that will be of interest to readers.

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: Financial institutions have and continue to suffer substantial financial losses because of their exposures to various operational risks and insufficient risk management. Quantifying operational risk is a critical component of an institution’s ability to manage risk. The model described in the article provides a numerical measure for operational risks existing in a business entity through statistical methods. It takes experience data to reflect both the general features and company specifics of the defined operational risks, while also allowing for managerial discretion. An important achievement is to suggest a level of capital to hold against potential losses arising from operational risks.