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: Abstract: This paper examines the argument whether enterprise risk management (ERM) adds value to the entire firm. Using the A.M. Best property/casualty insurance business database from 2000 to 2009 for 794 US insurance companies we found evidence to support this argument.

Description: A research report that examines the effect of ERM adoption on a firm’s corporate reputation.

Description: A research report that first defines ERM and provides the results of an applicable literature search with hyperlinks and then describes the current state of Enterprise Risk Management practices for health organizations. Areas covered: 1. Operational Risks. 2. Balance sheet risks. 3. Pricing discipline. 4. Asset risks. 5. Learnings. 6. Emerging risks.

Description: Sponsored by the Joint Risk Management Section of the Canadian Institute of Actuaries, Casualty Actuarial Society and the Society of Actuaries, this research report summarizes the major findings from the 2018 Emerging Risk Survey.

Description: The Survey of Emerging Risks has been successfully conducted in North America for 15 years, which provides a consistent report by tracking the opinions of risk managers on the emerging topics beyond the current business cycle with strategic plans over decades. For the first time the survey is also being specifically introduced in China and Greater Asia, with the aim of surveying the actuarial and risk management professionals' opinions on emerging risks in the local market. In relation to the Society of Actuaries, Greater Asia is defined as markets that participate in our Greater Asia Committee. These are additional areas outside of mainland China that include markets such as Hong Kong, Indonesia, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand and Vietnam. The survey is sponsored by the Society of Actuaries (SOA) Research Institute and comprises both quantitative and qualitative questions in English and Chinese (Simplified). With a wide range of response options and allowing for anonymous comments, the survey results serve as a platform to share the risk views of local actuaries and risk managers in China and Greater Asia.

Description: This report provides a resource guide for asset-liability management practitioners, including methodology reviews, a survey of ALM practices, and guidance for applying ALM questions to real-world situations.

Description: This research report examines readers to Insurance-linked securities (ILSs) emphasizing catastrophe bonds (CAT) and industry loss warranties (ILWs).

Description: This article will highlight the issue that the sum of key-rate metrics does not add to metrics derived by parallel shift to the entire curve, even at very low shift size. Additionally, in the article I will outline how to define a single rate change to be applied to a key rate (or the entire curve) since the rate changes are generally not level or parallel.

Description: An introductory article describing how Bayesian statistics has evolved over the past 20 years and why it offers the actuarial discipline powerful tools to better understand and manage risk. Compared with traditional (frequentist) and black-box (machine learning) approaches, Bayesian analysis provides explainable models focused on distributions of estimates instad of simply point estimates.