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: 2011 Enterprise Risk Management Symposium, Chicago. This study investigates whether simulation-based models can be used to predict liquidity risk for banks, which must comply with Basel III by January 2015. The paper looks at the process of developing a measurement framework using Black-Scholes and Merton’s asset-based models to measure liquidity risk.

Description: The Society of Actuaries announces the release of a new report that will provide a resource for the insurance industry to learn about image recognition technology. Authored by Kailan Shang, the report explores the current status of image recognition technology, models for image recognition, and various possible applications of image recognition to insurance.

Description: This article provides background and key results of the Risk Premium Project of the Committee on Theory of Risk [DOTOR] of the Casualty Actuarial Society [CAS]. The project is intended to gather research on risk issues and encourage further development.

Description: Panelists at this session of the SOA 1998 Maui I Spring Meeting presents their approach to an integrated risk management framework that assesses the level of risk in the organization and where it lies on the balance sheet.

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: This article discusses new developments on the regulatory front. Under the new agreement, insurance company management and boards will be required to issue a statement that reflects their judgment about the firm’s viability, including its capital adequacy. The required opinion will have five elements - identifying risks, measuring risks, a risk feedback loop, a risk tolerance statement, and a risk policy.

Description: The Society of Actuaries announces the release of a new report that will provide a resource for the insurance industry to learn about image recognition technology. Authored by Kailan Shang, the report explores the current status of image recognition technology, models for image recognition, and various possible applications of image recognition to insurance.

Description: Organizations representing the actuarial profession in Canada and the United States have applied an improved methodology to the Actuaries Climate Index® starting with newly released ACI data for fall 2018, and the latest data show the previously reported upward trend in the key five-year moving average ACI metric continues.

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.