Description: This column lists articles and other forms of media The Actuary’s contributing editors feel will be of interest to their fellow actuaries.

Description: This is the first of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.

Description: This article is a request for new volunteers to participate in the Risk Management Task force projects.

Description: Full version of Risk Management, November 2004, Issue No. 3.

Description: ICP 16 and its requirement for an Own Risk and Solvency Assessment (ORSA) will offer opportunities for the actuarial profession to provide uniquely well-educated and professional assistance to this process.

Description: This report provides highlights of a weekly survey of practices regarding the mitigation of the spread of COVID-19 in the U.S. during the last half of April 2021 along with comparisons to prior half-month time periods.

Description: People naturally observe risk in the form of the range of experienced gains and losses which is usually represented in statistical terms by standard deviation. In most cases, there are not enough observed values to reliably discern the true amount of losses that are possible in extreme situations. Statistical techniques that have long been applied to insurance company risks are being used to extrapolate from observed risk to extreme tails of the distribution of gains and losses. These processes are essentially an extrapolation from the “known” risk of volatility near the mean to “unknown” risk of extreme losses. “Fat tails” is a term often applied to risks where the likely losses in rare situations significantly exceeds the predictions of a Gaussian (“thin tailed”) distribution. This paper will look at the relationship between the observed risk and the extreme risk in statistical insurance r isk models and discuss how we might create a discussion among model users about the appropriateness of that relationship for specific types of risks.

Description: Describes ways to avoid the next financial crisis by following the example of those who got it right and discerning what you could be doing to prevent your firm from experiencing excessive losses in future crises.

Description: "Management must manage. An incentive compensation formula will not be sufficient."

Description: Article from Risk Management Newsletter, November 2005, Issue 6 highlights the strength of the section through the addition of CAS members. In Spring 2005, the boards of the SOA and CAS approved the rededication of the Risk Management Section as a jointly sponsored body. Since that time, CAS members have been encouraged to join the section. In the recent section election, three CAS members ran for Section Council and one was elected.