Description: Read the December 2017 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: Update on research activities.

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

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

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

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

Description: Read the March 2017 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: This article addresses the role of pension risk management in the context of corporate risk management and how pension risk management strategies might optimally be implemented to increase the probability that pension benefits can be financed from plan assess and that, when and if required, unexpected increases in corporate contributions can be made without financial discomfort to the firm.

Description: A framework to measure and evaluate the risk-adjusted investment performance given the characteristics of the insurance liability.

Description: The costly, time-consuming and complicated process of enterprise risk management (ERM) can be improved in many companies and made less tedious for managers by using reasonable data and templates obtained from peer group entities. The models used to calculate economic capital (EC) often underestimate its value because they do not consider decision-maker perception about risk. We assume here that managers, as the decision-makers, have appropriate business understanding and they can provide substantial information about risk characteristics regarding all business processes. Therefore we are focused, in this paper, on collecting data from managers across the different businesses to derive the appropriate knowledge about risky events, the importance of particular types of risk, the relationship between the risk outcomes and the level of risk control in a particular industry. We conclude that the collected data has a high potential for use as a benc hmarking reference and analysis for improving ERM models for individual businesses.