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: This publication is intended to serve as an in-depth primer on economic scenario generators. The first half of the publication provides more general information on the nature of economic scenario generators—what they are, how they evolved, how they address regulatory and business needs in the insurance and pension industries. It also addresses essential features of a good economic scenario generator, and provides some detailed guidance on important aspects of financial market model specification, model calibration and model validation considerations to assure that the ESG will produce simulation results that are relevant, sufficiently robust, and realistically reflect market dynamics. The second half of the publication provides technical discussion of some of the essential financial markets aspects of a comprehensive ESG. Description of arbitrage-free considerations, the role of risk-neutral scenarios, and default-free interest rate models are explored with some of the underlying mathematics necessary to understand these considerations. Final chapters provide some important considerations relating to corporate bond models and equity index models, and how these considerations may extend to international and global interactions.

Description: This session at the SOA 2003 Washington, DC Spring Meeting focuses on the issues involved in building a scenario generator. It covers the data set used to develop and calibrate the generator as well as a discussion of different approaches and their features. Implementation is addressed along with potential pitfalls.