Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. The stated purpose of this paper is to consider whether a more comprehensive and timely measurement framework for risk exposure is now needed and to examine one possible approach. This paper proposes a new approach to risk measurement that, along with capital measurement and more rigorous oversight, will allow banks an ability to manage risk.

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: 2011 SOA Enterprise Risk Management Symposium, Chicago. This paper suggests the use of a policy event-based loss estimation method using expert input and simulation for forecasting long duration expenditures: that is to say, there is an efficient time, which is random and observable to replace a physical asset.

Description: Insurance company issues that do not necessarily arise in banks are identified and utilized to develop insurer ERM modeling approaches that start from the work done for banks but respond to insurance-specific matters. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: Interest sensitive products including SPDAs can be thought of as spread lending business. The purpose of the paper is to introduce the excess spread approach to measuring the profitability of nonparticipating insurance products. The article describes how the excess spread approach is used to price and manage the products and its risks. From Society of Actuaries Reporting Monograph, M-AS99-1.

Description: In this essay, we focus on the “Prospective Solvency Assessment” aspect of the NAIC’s ORSA. This places a spotlight on an insurer’s strategic decision making from a risk and capital management perspective. It requires those in senior management to describe actions they would take to address possible adverse changes in their risk and solvency position, i.e., what they would do to reduce risk, increase capital, and/or adjust the business strategy. We contend that by applying a slightly broader scope than the specific requirements of the NAIC’s ORSA, insurers can develop this into a valuable process to support risk-based decision making. In this essay, we initially consider how to determine which metrics to include in such a process and then discuss some important business requirements and practical challenges for implementing a calculation approach to support it. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: The article provides an introduction to the Stock Value Approach to enterprise risk management (ERM). A clear path toward implementation of comprehensive and pragmatic ERM is shown. The framework is underpinned by a company's goals as they relate to growth of the value of the company stock price.

Description: This paper uses accounting data of the life insurance industry in 2003 to examine the empirical relationship between the spectrum of enterprise risks and the spectrum of enterprise risk management tools of this industry.

Description: This paper uses Interpretive Structural Modeling concepts and techniques to better understand a company's overall risk profile. By viewing all of the risks in a firm as an integrated system, one can apply a computer-assisted learning process to construct a structural graph and illustrate the risk interrelationships. From 2006 Enterprise Risk Management Symposium, M-AS06-1.