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: 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: Fiduciaries play a vital role in the financial health of a pension plan. How they carry out their duties is a question of increasing interest to beneficiaries, regulators, shareholders and taxpayers. Having a clear, logical and well-documented risk management process in place can make a big difference.

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

Description: Discussion of possible hedging strategies for offsetting the investment risk for variable annuities, especially those with guaranteed benefits.

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: 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: Editorial for the October/November 2012 edition of The Actuary magazine discussing risk and uncertainty as two different concerns.

Description: This article discusses the impact of ERM on smaller insurance companies.

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.