Description: The liquidity crisis and the insufficient depth of the market led to a strong correlation crisis: many risks that could be considered as close to mutually independent in the classical regime suddenly became strongly positively dependent. More correlation crisis may happen in the future. We need to be more careful with black-box tools and to train what I would define as “quanlitative analysts” “Quanls” in the Enterprise Risk Management ERM process, that is risk managers who are able to lead interdisciplinary ERM studies from a jointly qualitative and quantitative point of view, with an emphasis on dynamics.

Description: Models are imperfect approximations of reality. Once a bubble has been recognized, that’s the time for mechanisms of caution and prudence to kick in, even in the face of exuberance – especially in the face of exuberance. Liquidity and trust is plentiful until it’s not – it can evaporate with blazing speed and only returns slowly. Risk is contagious, which means every single employee and citizen has a vested interest in taking on the role of chief risk officer.

Description: This article describes risk modeling and how to build a risk intelligence system.

Description: In this article, the author discusses earthquake modeling.

Description: Listing and description of key articles in August 2011 issue of Risk Management. Topics include Predictive Modeling, Risk management and Solvency II.

Description: Book review of Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk by author Christina Ray.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.

Description: Recurring column that lists recent publications in risk management of note to readers.

Description: Recurring column that lists recent publications in risk management of note to readers

Description: In this article, the section chairperson talks about some challenges that are presenting the actuarial profession, and Risk Management professionals and how to turn them into new opportunities for business.