Description: The editorial cautions that while the development of more sophisticated models may increase efficiency, it is important to consider the very real risk management costs associated with the increased complexity, efficiency and overconfidence in the predictive power of models.

Description: Value-at-Risk—an Overview Part Two of Two by Glyn Holton from The Financial Reporter, May 1999, Issue No. 39.

Description: Most reasonable risk mitigation strategies provide benefit in some circumstances, but come at a cost that adversely affects results in other scenarios. A research paper by the authors considers the view of multiple stakeholders to answer this question, resulting in a process they call Trifurcation.

Description: From a panel discussion session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Overview of New York Regulation 163, including the limits on different types of derivative activities, the Derivative Use Plan required by New York, and the reporting and control requirements.

Description: An analysis of how to compute the variance of the present value of future annuity payments as a component of assessing the mortality component of the provision for adverse deviation in the computation of GAAP reserves.

Description: Findings from EY Insurance Risk Management Team's 2016 (annual) Insurance Chief Risk Officer Survey.

Description: Presented at May 2002 Spring Meeting. Discusses the status of the second phase of the AAA C-3 Risk project. This project is leading to an updated NAIC filing requirement and is a step toward fair value. The specific focus is on equity risk and bond funds in the distribution tails. Products covered include variable life and annuities.

Description: Cyber threats and their costs are a continuously evolving, moving target and a source of uncertainty.

Description: What is the impact of aging populations on economic growth and interest rates?” “Are low interest rates and inflation a short-term phenomenon?” “How will returns from different asset classes be impacted by future demographic trends?” “What are the differences between different countries and regions around the world?”

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.