Description: This article describes an initiative of the Chief Risk Officer Forum to perform a study to benchmark internal models, so as to discuss the admissibility of these models for regulatory purposes in the context of Solvency II. The results of and reactions to that study are discussed.

Description: The focus of this article is that while Economic Capital can be a valuable component of the ERM process for insurance companies, an over-emphasis on EC, to the point of neglect of other steps in the ERM process, can reduce the effectiveness of an ERM program.

Description: How insurers can include a liquidity score and liquidity stress scenarios as part of their asset liability management (ALM) protocol.

Description: This article highlights 13 attributes shared by various groups of companies that landed in trouble. The companies are identified, and the attributes are described.

Description: How insurers can include a liquidity score and liquidity stress scenarios as part of their asset liability management (ALM) protocol.

Description: The thrust of this article is that while ERM starts out as a compliance and corporate governance tool, well managed companies use ERM as a strategic tool that will help them increase shareholder value. To do so requires a synthesis of the actuarial techniques of insurance and the capital markets perspectives of corporate finance.

Description: This article highlights the significant steps being taken by the UK actuarial profession to establish a more focused role in risk management.

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.