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: Response to David Kausch’s comments on the paper.

Description: In this article, industry experts who have gone through the journey of establishing and executing a mature actuarial model risk management function share their tips and tricks through three case studies that convey commonly faced issues

Description: Is Risk/Return a sound tool for decision-making? No. It is not consistent, not objective, distorts decision and degrades governance. Why? What shall we do then?

Description: Description of considerations and perspectives to be taken into account by incentive compensation plans.

Description: This article discusses some of the ideas of pension finance, how to present such information, and how it was presented to the New York City Retirement Systems (NYCRS) in a way that made it available to other interested parties, including the public.

Description: The costly, time-consuming and complicated process of enterprise risk management (ERM) can be improved in many companies and made less tedious for managers by using reasonable data and templates obtained from peer group entities. The models used to calculate economic capital (EC) often underestimate its value because they do not consider decision-maker perception about risk. We assume here that managers, as the decision-makers, have appropriate business understanding and they can provide substantial information about risk characteristics regarding all business processes. Therefore we are focused, in this paper, on collecting data from managers across the different businesses to derive the appropriate knowledge about risky events, the importance of particular types of risk, the relationship between the risk outcomes and the level of risk control in a particular industry. We conclude that the collected data has a high potential for use as a benc hmarking reference and analysis for improving ERM models for individual businesses.