Description: Actuaries and rating agencies increasingly believe that the NAIC's formulaic required capital standard does not adequately address a company's insurance, economic market and credit, reporting and pricing risk structure. Economic capital, based upon a stochastic evaluation of a company's total risk exposures, presents a new approach for accurately gauging a company's exposure to risk. Attendees learn what economic capital is, how it is calculated, what it tells company management about risk exposures and how it can serve as a valuable risk-adjusted measurement tool. From the Record of the Society of Actuaries, Volume 29, No. 1: Washington D.C. Spring Meeting, May 29–30, 2003, Session 24OF.

Description: This article discusses the global capital standards for Global Systemically Important Insurers (G-SIIs) and Internationally Active Insurance Groups (IAIGs) currently being developed by the International Association of Insurance Supervisors (IAIS).

Description: Discusses the use of ERM in the world of small insurance companies.

Description: The paper o ers a simple framework for ranking the common reinsurance struc- tures in practice with the theory of stochastic orders. The basic idea is to slice the space of reinsurance structures into groups by expected loss cost to facilitate the comparisons within the group and between groups. Given the standard risk aversion assumption in economics, a spectrum of reinsurance structures with the same expected loss cost can be compared analytically with one another and sequenced based on their risk coverages under the convex order. The paper then expands the dimension of the comparison to groups of reinsurance structures with di erent expected loss costs, which can be ranked under the increasing convex order and the usual stochastic order. As such, the paper maps out the ordering for the entire space of reinsurance structures and presents it in a ma- trix format for quick reference. The implication of this stochastic ordering to reinsurance pricing is also investigated.

Description: The ORSA should be more than a compliance requirement -- its process should be an integral element of a company's governance and risk and strategic planning process used by both management and the board on a regular feedback loop basis. Similar to that used for ERM, it along with a carefully constructed set of metrics should serve as the springboard to be used to identify, control and mitigate short- and long-term risks, as well as to enable exploitation of opportunities to add shareholder and policyholder value. Risk can represent an opportunity from which insurers can leverage their knowledge and risk management capabilities to find and maintain a competitive edge. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: Metadata for entire issue

Description: Based on interviews with C-level executives, this report offers insights on the role and actions of the global insurance industry in addressing climate change

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.

Description: The September 2014 Issue of the Financial Reporting Section's newsletter, The Financial Reporter