Description: In a very general setting this paper describes a straightforward, non-parametric approach to aggregate "stand-alone" or marginal distributions with desired correlations without imposing additional assumptions on those marginals. We then develop two optimizations for the enterprise, one based on maximizing return on economic capital and the other based on a mean -semivariance efficient frontier from the investor point of view.

Description: This article discusses pointing out flaws in Incentive Compensation program using short term financial metrics like Total Shareholder Return may miss non-short term financial risk and non-financial risks.

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: Discusses the necessity and the difficulty to take management actions into account in ORSA (Own Risk and Solvency Assessment). If management actions were ignored, multi-period scenarios could be too artificial. On the other hand, it is of course very hard to predict management actions. We propose a certain number of characteristics that the ORSA should feature. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: The essay briefly discussed the impacts from implementing ORSA to the main stakeholders in the insurance industry. Those stakeholders include: insurers, regulators, policyholders, investors, rating agencies, insurance industry employees and general public. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

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: 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.