Description: An exploration of Canada’s federal regulator of financial institutions (OSFI) and its more formal assessment of the actuarial function of insurers.

Description: This is the second article in a two-part series examining the potential value to companies of implementing a company profitability and risk dashboard.

Description: We can do a better job of communicating the degree of "riskiness" that is inherent in our models of risk. The "Coefficient of Risk" is one way to present fatness of model tails in simple terms using widely understood basic concepts.

Description: A presentation at the Actuarial Research Conference in August 2006 in Montreal. This paper discusses the Basel VaR Value at Risk test of a bank's VaR model. It proposes an alternative, Quality Control of Risk Measures QCRM Hypothesis test. The alternative is more likely to reject an incorrect VaR model.

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.

Description: The author uses football to demonstrate the axiom of downside risk, and how it can be applied in business situations when considering whether to use a conservative or aggressive approach.

Description: As part of its research efforts, the Society of Actuaries frequently partners with other associations, companies and universities, and through the North American Actuarial Council (NAAC). This article discusses recent efforts and projects of the NAAC.

Description: Newly released spring 2019 data added to the Actuaries Climate Index show that more frequent extreme weather and increases in sea level continue to push the index upward. The ACI’s five-year moving average now stands at 1.16, up from 1.12 last quarter.

Description: We demonstrate an integrated enterprise risk management (ERM) solution to optimize the risk portfolio, identify natural hedges, create an optimal risk treatment plan, enhance risk culture, and facilitate risk reporting throughout the organization.

Description: The letter from the editor discusses some recent loss events driven by model error and provides an overview of the articles in this issue of Risk Management.