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.

Description: This article examines the emphasis that is currently being placed on assessing, monitoring and managing credit concentration risks.

Description: Important tools used in property & casualty P&C insurance—predictive modeling and data mining—can be applied to more effectively model policyholder behavior risks in variable annuity VA contracts. In this article, a case study is used to demonstrate how a predictive modeling approach can improve upon traditional methods used to model VA lapse behavior.

Description: Duration matching is a risk management strategy, commonly used in the insurance industry, where the duration (price sensitivity to a yield curve movement) of an asset portfolio is adjusted to be made equal to the duration of the liability. However, this approach has flaws. In this essay, I note some key failures of duration matching and offer a potential alternative.

Description: This article discusses the growing exposure of ERM and where it's headed in the future. The author predicts that the ERM discipline will go deeper to reflect better the realities in our enterprises and that the science of ERM will leap forward through combining analytical skills and business knowledge, and through blending the insights of financial economics with the tools of management science.

Description: In this article, the author describes the skills needed for the Chief Risk Officer and he offers why actuaries may, or may not, be best suited to fill the role.

Description: Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and result interpretation are morphing even though use of E.C. models has now been around for years.

Description: As sponsored by the Canadian Institute of Actuaries (CIA), Casualty Actuarial Society (CAS), and Society of Actuaries (SOA), the study looks at causes of insolvency and decisions made by management, regulators, and policyholders over the life cycle of the insolvency. Further, this study considers ways the profession can be equipped to prevent or mitigate future insolvencies. In addition to directly benefitting the profession, the work is also intended to assist other insurance industry practitioners in understanding the complexities of insurance company solvency and the benefit of keeping the actuarial profession in the forefront of company management, operations, and regulatory communication

Description: This article provides guidelines for practitioners of risk management. These guidelines fall under four general headings: 1. Understanding and fulfilling your role in the organization. 2. General risk management. 3. The use of derivatives. 4. Risk measurement systems.

Description: This article discusses the concept of All models are wrong but some are useful.