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: Describes ways to avoid the next financial crisis by following the example of those who got it right and discerning what you could be doing to prevent your firm from experiencing excessive losses in future crises.

Description: The 2008 global financial crisis highlighted the costs of supporting systemically important financial institutions (SIFIs) as well as the linkages both between institutions as well as across countries. The G 20 tasked the Financial Stability Board (FSB) along with international regulatory associations such as the Basel Committee on Banking Supervision (BCBS), International Association of Insurance Supervisors (IAIS) and the International Organisation of Securities Commissions (IOSCO) to evolve frameworks for supervision of such SIFIs.

Description: Adaptive Risk Management harnesses social intelligence to identify emerging risks. We have entered an age of disruption where exponential technologies are transforming every industry. The ability to pivot in a rapidly evolving ecosystem is essential. Centralized “predict and control” paradigms will increasingly fail as complex interactions drive phase transitions. Successful organizations will harness social intelligence to “sense and respond” to giant waves of change. Maps amplify intelligence to help us navigate challenging terrain. Maps play a central role in all command centres, enabling rapid risk identification with a shared visual language. Interactive financial network maps allow analysts to explore and diagnose systemic fragilities, and mitigate critical vulnerabilities. Dynamic financial maps can also build visual intuition to detect escalating risk patterns. After observing early warning signals, analysts can apply network analytics to estimate likely second order effects. This allows organizations to proactively manage emerging risk before tipping points are crossed.

Description: Collection of essays received in response to the “Systemic Risk, Financial Reform and Moving Forward from the Financial Crisis” call for essays.

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: This essay examines the root causes of the 2008 global financial crisis precipitated by the bursting of the housing bubble. The author suggests that if fraud is not addressed, future crises, perhaps even worse, will occur.

Description: In the second half of 1997, magazine and newspaper reports started appearing in droves about the presumed doomsday of Jan. 1, 2000, for any and all activities associated with computers. This article discusses the 'Y2K problem' and the costs of addressing it.

Description: Highlight of the ERM Symposium