Description: This is the key findings research report for the fifteenth Emerging Risk Survey

Description: The focus of the essay is how to use regulatory requirements like ORSA to add competitive advantage. This is accomplished by leveraging the work done for regulators in a way that helps a firm make better decisions. Looking for concentrations of risk, model shortcomings and changing correlations are considered. Stress testing, counterparty risk and changing risk appetites are all topics that help the risk manager better understand the risks accepted. Finally, the paper suggests that the risk officer job should be split into a component that focuses on the process and risk mitigation techniques. The Chief Risk and Return Officer would reside in the strategic planning area and participate in strategic decision making for the firm. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: In this article, the author discusses financial regulation and the financial crisis.

Description: Insurers can leverage information from their required Own Risk Solvency Assessment (ORSA) and use it internally to improve the likelihood of solvency and gain a competitive advantage.

Description: French language version of Risk Management, August 2014 newsletter.

Description: This article re-caps the Investment Actuary Symposium held on November 8-9, 2001 in Las Vegas, Nevada.

Description: Research report describing the results of an Emerging Risks Survey conducted in 2016. The report, the tenth in a series, includes comparisons to the previous surveys.

Description: The monograph walks the reader through the hindsight, insight and foresight building process while discussing theoretical and practical issues supporting the building of valid forecasts with provenance for each of these schema examples. That is, the analyst can document the iterative ‘profiling change processes’ mindscape and landscape elements by which and through which the successful forecast is built. This kind of forecast construction ameliorates the ‘black box’ problem of generating pattern output without an understanding of the pattern’s creation or contextual meaning that is often seen when using other methods, particularly machine learning and artificial intelligence. This issue is discussed, referencing appropriate thought leaders.

Description: Complete issue of the August 2014 Risk Management newsletter.

Description: Presented at May 2002 Spring Meeting. Attendees learn about tools used to manage enterprise risk and optimize firm value. Potential topics include economic surplus, earnings at risk, and law of one price. Attendees learn how various risk-management tools can complement each other.