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: This is the second 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: Feature article discussing how ERM needs to expand to cover the many different attitudes toward risk.

Description: Editorial for the October/November 2012 edition of The Actuary magazine discussing risk and uncertainty as two different concerns.

Description: An overview of the recent Advanced Risk Management Seminar New York, December 2002.

Description: Strategic Risk Management was given lower priority in a recent survey of ERM Objectives. This article tells how the author believes that recent events have caused many to shift to a more short term focus and in the future there will be a shift back to a priority for the longer term view that stands behind Strategic Risk Management when the environment settles down and things again seem to be more predictable.

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: The author notes that “insurance companies have been in the business of risk management for hundreds of years. The latest trend towards risk management in banks is both new to insurance companies and very old hat—new because it applies new techniques at least new to the last half century and old hat because many risk management techniques are so old hat to insurance companies that they are almost unconsciously performing them.”