Description: Introduction to essays advocating for incentive compensation linked to the level of risk in an organization.

Description: The actuary’s key role in the ORSA process should be to quantify the uncertainty surrounding the future financial results of the firm. By providing relevant standardized reports that clarify the uncertainty in terms easily understood by all stakeholders, the actuary will provide an essential element in the ORSA process. The dictum, "You can't manage what you can't measure." demonstrates the need to quantify risk, not just describe it qualitatively. While the ability to provide firm estimates of aggregate risk for complex organizations may not exist currently, doing so should be a target for the profession. The end result will be to enhance the financial security of the insurance industry at a time when all financial institutions are facing stakeholders skeptical about their financial condition. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: In this paper we give new general criteria for the weak convergence of one-dimensional distributions of generalized risk processes and describe the class of possible limit laws under an infinite growth of stochastic portfolio size and stochastic intensity of insurance payment.

Description: A risk map is an effective and dynamic tool in helping companies develop a broader view of their risks.

Description: The author suggests ways to strengthen a company's enterprise risk management process, including the development of an "effective resilience factor," a risk metric that reflects an organization’s exposure and response to an adverse event, and measures the ability of the organization to mitigate the reduction in its operating level.

Description: ICP 16 and its requirement for an Own Risk and Solvency Assessment (ORSA) will offer opportunities for the actuarial profession to provide uniquely well-educated and professional assistance to this process.

Description: This paper introduces a rich stochastic modeling framework for understanding risks in multiple-decrement contracts. The example in the paper is a 20-year Term insurance contract. Not only are mortality and lapsation considered stochastic, but the parameters governing them are. For example, mortality risk is composed of four risk elements, including error generated in the underwriting process, volatility around the best estimate, catastrophic events that impact mortality, and the trend in mortality improvement or deterioration. When stochastically modeled, the relative contribution and risk profile of each risk element can be evaluated. Generating stochastic mortality results provides a distribution of results that an organization faces and the severity and incidence of the tail events.

Description: ERM has methodology for quantifying the risk to capital, but to determine optimal capital, the impact of capital level on firm value is needed. This gets into the realm of valuation. Also capital allocation provides risk quantification for business units, but comparing return among units is fundamentally a risk-pricing exercise. When considering risk pricing, optimal returns on allocated capital are not necessarily constant across business units. The current ERM methodology, as well as actuarial literature on valuation and pricing, are reviewed, and possible directions for application of pricing and valuation methods to risk management problems are outlined.

Description: Here are a few topics to be discussed in this article: Risk is opportunity; Strategic and business risks are not captured in models; Incentive compensation should not be paid too soon; Enterprise risk management is board responsibility, ERM is compliance.

Description: The authors introduce an alternative to Tail Contribution Analysis TCA for analyzing business segments and strategies called Economic Profit Analysis EPA. They discuss EPA’s key feature, “volatility replication,” an intuitively appealing process of building investor expectations and capital market information into the risk-and-return measurements used to evaluate strategic decisions. Finally, they illustrate the benefit of using EPA in overcoming the problems of TCA and thereby providing concise reliable information for business decision making.