Description: Summary of NAIC's Winter National Meeting

Description: This article describes some of the drawbacks to the assessment of longevity risk adopted by most practitioners within the UK together with an initiative that provides a platform for an alternative approach that is both (a) more forward-looking in nature and (b) can complement current practices.

Description: An observation is made regarding the impact interest rate scenarios have on VM-20 stochastic reserves.

Description: This article describes the proposal selected for research involving the modeling of economic series. The proposal submitted by the research team of Kevin Ahlgrim of Bradley University, Stephen D'Arcy of the University of Illinios and Richard Gorvett of Zurich North America was selected.

Description: View the complete issue for the August 2014 Reinsurance News newsletter.

Description: Results of an industry survey on life insurance companies' efforts to implement the recently adopted Life Risk-Based Capital Phase II Instructions, which include new requirements for variable annuity contracts. Adopted by the NAIC on October 14, 2005, the new requirements are effective for year-end 2005. Also discusses a summary of the requirements set forth in the instructions.

Description: Empirical evidence of reported losses suggests that insurance firms are interconnected in a nontrivial way, making them prone to systemic risk. Systemic risk can be viewed as the result of a cascading process, as it unravels throughout a network structure. In response, this work presents a simple analytical model that can simulate this process. The model is subsequently tested upon an empirical dataset via the means of numerical simulations. This work makes three main contributions. First, it provides a novel methodology for quantitatively and objectively assessing the systemic role of individual firms within the insurance domain. Second, it exemplifies the inability of traditional, firm-based information in serving as proxies for mapping these systemic effects. Third, it provides a practical example where network-based information (e.g., Criticality IDX, Sensitivity IDX) can outperform firm-based information (e.g., admissible assets, excess c apital) resulting in increased efficiency in the decision-making process. These findings strengthen the need to account for the interconnected nature of the domain while showcasing some of the potential benefits that can be harvested by doing so.

Description: Empirical evidence of reported losses suggests that insurance firms are interconnected in a nontrivial way, making them prone to systemic risk. Systemic risk can be viewed as the result of a cascading process, as it unravels throughout a network structure. In response, this work presents a simple analytical model that can simulate this process. The model is subsequently tested upon an empirical dataset via the means of numerical simulations. This work makes three main contributions. First, it provides a novel methodology for quantitatively and objectively assessing the systemic role of individual firms within the insurance domain. Second, it exemplifies the inability of traditional, firm-based information in serving as proxies for mapping these systemic effects. Third, it provides a practical example where network-based information (e.g., Criticality IDX, Sensitivity IDX) can outperform firm-based information (e.g., admissible assets, excess c apital) resulting in increased efficiency in the decision-making process. These findings strengthen the need to account for the interconnected nature of the domain while showcasing some of the potential benefits that can be harvested by doing so.