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: Read the March 2018 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: 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 article is Part 1 of two articles that provide a case study for the development of a profitability and risk dashboard. The sample dashboard provides distilled information regarding actual to expected (A/E) ratios for key risks, agent quality scores and customer value scores. The dashboard would also provide the value of new business written, surplus strain, debit balances, and expected losses on debit balances at different levels, down to the agent level. A product mix index is provided, together with visual comparisons of key metrics to the company's business plan. The Part 2 article will add information to the dashboard regarding risk margins, target capital, and company value.

Description: The author encourages the use of sound actuarial principles to develop reasonable retirement spending budgets instead of rule of thumb approaches commonly used.

Description: Highlights and discussion of "Stretching the Corridor: The Effects of Extended Rate Stabilization on Defined Benefit Plan Funding Requirements." The report, produced by the SOA Data-drive In-House Research function, analyzed the effects of extending the pension funding stabilization provisions that were implemented with MAP-21 in 2012.

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

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.

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