Description: Optimization of the liabilities to minimize the required capital, enhance the enterprise risk management and maximizing the shareholder value.

Description: Highlight of the ERM Symposium

Description: We can do a better job of communicating the degree of "riskiness" that is inherent in our models of risk. The "Coefficient of Risk" is one way to present fatness of model tails in simple terms using widely understood basic concepts.

Description: The article explores the possibility of using the emerging technology for life insurers to build a monitor system for better risk and profitability management.

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

Description: In this issue, we’re pleased to share with our members some recent nice activities and initiatives of AFIR- ERM on the risk management space. Please fi nd useful information in the article below from Michael Sherris, Chairman of AFIR- ERM Section.

Description: Cyber threats and their costs are a continuously evolving, moving target and a source of uncertainty.

Description: When companies engage in risk management activities, they can be seen as modifying their distributions of future outcomes. Often, this takes the form of trading off a sure cost for a decrease in some potential risk of loss. Companies may carry out these activities with several goals in mind, such as reduction in earnings volatility or preservation of capital. This paper will demonstrate a method for evaluating possible strategies by dividing the effects on costs and risks into three tranches: earnings, impact and estate. The tranches can be associated with different interests of the various stakeholders. This trifurcation analysis can help to explain the risk-reward trade-offs of different risk treatment alternatives and can aid in risk-related decisionmaking.

Description: The article explores impact of resetting cap vs static cap choice for the GLWB rider for a Fixed Index Annuity for a Point to Point. Moreover, analysis of a Monthly Sum Cap is provided showing impacts of particular choices of market models (e.g. Black, Heston, Bates) used to price this deal.

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.