Description: Crises are devastating. They leave behind a high amount of entropy unemployment, poverty, lack of safety. But this is half the truth. The other half says that crises are to some extend good, because they provide a natural crash test to discover current practices’ risks and limitations, and in response, give rise to more efficient regulation, to financial innovations and to the wakening of the vitalizing powers of society, as the old and corrupted die and new ideas emerge and give us the opportunity to reflect upon the future we want to have.

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

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