Description: Feature article describing how insurers that see beyond seemingly simple baseline requirements can leverage ORSA compliance to bolster ERM capabilities.

Description: Findings from EY Insurance Risk Management Team's 2016 (annual) Insurance Chief Risk Officer Survey.

Description: This paper is intended to be a resource for actuaries and other professionals interested in learning more about longevity risk. It summarizes the results of the literature review by discussing observed trends and outlook on mortality, development of retirement markets, ways to mitigate risk, summary of products with risk exposure and quantification and management of the risk.

Description: Describes substandard annuities and discusses the market opportunity for them, the associated risk management issues, and the issues companies need to address when competing in the substandard annuity market - underwriting, pricing, sales, administration, financial reporting and risk management practices.

Description: This paper is a literature review of available papers, publications, articles, and presentations on the topic of longevity risk.

Description: This paper introduces a rich stochastic modeling framework for understanding risks in multiple-decrement contracts. The example in the paper is a 20-year Term insurance contract. Not only are mortality and lapsation considered stochastic, but the parameters governing them are. For example, mortality risk is composed of four risk elements, including error generated in the underwriting process, volatility around the best estimate, catastrophic events that impact mortality, and the trend in mortality improvement or deterioration. When stochastically modeled, the relative contribution and risk profile of each risk element can be evaluated. Generating stochastic mortality results provides a distribution of results that an organization faces and the severity and incidence of the tail events.

Description: This article looks at stochastic techniques actuaries can use to quantify the non-market risks in insurance products and how stochastic techniques can be used in the evaluation of reinsurance arrangements.

Description: This article discusses specific challenges in model risk management, and practical solutions to those challenges, which are critical to building a model risk management capability. Through our experience working with insurers to build a model risk management capability, we have identified four areas in need of special attention: model definition, model governance and policy, model validation, model documentation. Addressing the challenges within these areas early on can help prevent more complex problems from arising later in a model's life cycle.

Description: The article focuses on findings from EY's survey in 2017 of CROs at 40 insurers in North America. Changing roles in the age of disruption are investigated.

Description: Feature article discussing the possibility of the LIBOR rate ceasing to exist in 2021 at what that would mean for insurance companies.