Description: For the purposes of risk management and stress testing, we characterize a spectrum of plausible extreme events, that we dub Grey Swans, by introducing a probabilistic method involving the concentration of measure phenomenon. As a result, stress tests can be triaged according to severity, probability and, now, information-based plausibility.

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 incentive compensation metrics set to motivate performance, retain people, satisfy legal constraints and Say-on-pay and promote good risk management. Alignment discussion between actual metrics characteristics and the behavior they promote.

Description: This article advocates for a lower variable part in salary and increase focus on other mechanisms (goal setting, simpler product, management, culture and processes). The psychological aspect of belonging to the incentive compensation pool is more important that the financial aspect.

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: This essay advocates for the consideration of risk in an interdisciplinary framework. An "effective resilience" metric is introduced as a way to reflect an organization's exposure and response to an adverse event, and to measure the ability of the organization to mitigate and recover from the resulting reduction in its operating level. 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"