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

Description: The letter from the editor discusses some recent loss events driven by model error and provides an overview of the articles in this issue of Risk Management.

Description: Feature article discussing the IASB’s and FASB’s introduction of the use of other comprehensive income (OCI) to report certain changes in the value of insurance contracts.

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: The editorial cautions that while the development of more sophisticated models may increase efficiency, it is important to consider the very real risk management costs associated with the increased complexity, efficiency and overconfidence in the predictive power of models.

Description: This paper presents actuarial (mathematical) models for cyber breach probability as function of the level and allocations of security spending by a firm.

Description: A discussion of the need to connect the interrelated requirements of reserve requirements, capital requirements, risk management, IASB requirements and so forth.

Description: Insurers can leverage information from their required Own Risk Solvency Assessment (ORSA) and use it internally to improve the likelihood of solvency and gain a competitive advantage.

Description: From a session at the Spring regional meeting of the Society of Actuaries held in Atlanta, Georgia, May 24-25, 1999 Panelists discussed a comprehensive risk management approach to quantify the risk exposure from various sources.

Description: To deal with future correlation crises, the author suggests the implementation of ‘’quanlitative analysts’’ (‘Quanls’) in the enterprise risk management (ERM) process: risk managers who are able to lead interdisciplinary ERM studies from a jointly qualitative and quantitative point of view, with an emphasis on dynamics.