Description: This paper discusses the implications of the use of the fund of unreleased capital gains on common stocks as required surplus. By 'Unreleased Capital Gains' the author is talking about a situation where realized and unrealized capital gains are annually placed in a fund and a percent of that fund is released into income and/or surplus annually. Actuarial Research Clearing House ARCH 1988, Vol. 3

Description: Why Write Variable Products When You Can Put the Money Directly into the Stock Market?

Description: Companies need to learn to plan for uncertainty by taking into consideration downturns, not just an environment of moderation and occasional booms.

Description: A new project combining survey data from people across the country with data from John's Hopkins and the CDC on COVID cases and deaths. This project provides weekly data for individuals, businesses, and policy makers to understand which COVID mitigation efforts are in place in their area, how they are working, and how different COVID mitigation methods have been working in different parts of the country.

Description: “Many commentators have suggested that firms need to do stress tests to examine their vulnerability to adverse situations that are not within the data set used to parameterize their risk models. We suggest the adop¬tion of a terminology to describe stress tests and also a meth¬odology that can be adopted by any risk model user to test and communicate a test of the stability of model results.”

Description: Article from Risk Management Newsletter, March 2006, No. 7 on Standard & Poor's Enterprise Risk Management evaluation of insurers. In October 2005, Standard & Poor’s Ratings Services announced a new addition to the analysis process that leads to the ratings of insurers: Enterprise Risk Management ERM evaluation criteria.

Description: The authors discuss a virtual project organized through the International Network of Actuarial Risk Managers (INARM) that examines emerging risks.

Description: Full version of Risks and Rewards Newsletter, March 1998, Issue No. 30.

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: Full version of Risks and Rewards Newsletter, October 2003, Issue No. 43.