Description: This is report summarizes the results of a Joint Risk Management Section sponsored study on negative interest rates and the insurance industry.

Description: This paper discusses a theoretical framework for Enterprise Risk Management, risk dynamics within property-casualty insurance companies, empirical findings on widely used risk models, and examples of effective risk models.

Description: This paper explores areas where fuzzy logic models may be applied to improve risk assessment and risk decision-making. It discusses the methodology, framework and process of using fuzzy logic systems for risk management. With the help of practical examples, it is hoped that it will encourage wise application of fuzzy logic models to risk modeling.

Description: This research study was designed to answer the following questions: 1. What are the most commonly occurring risk categories? 2. What are the most commonly occurring risk subcategories? 3. What are the most commonly occurring individual risks? 4. Which individual risks tend to make front-page news? 5. Which risks generate the most extensive coverage in the form of repeat articles? The scope was defined as significant downside risk events experienced by Canadian nongovernmental organizations as reported in the first 10 pages of either Section A (Front) or Section B (Report on Business) of The Globe and Mail in a 2012 weekday (Monday-Friday) edition, as recorded in their online archives (“GlobeArchives”).

Description: Results of the PBITT Working Group annual Variable Annuity Survey.

Description: This Effective Enterprise Risk Management (ERM) Stakeholder Engagement report examines practices for gaining acceptance of a proposed ERM strategy. The researcher has identified the factors, processes and practices that lead to both poor and strong levels of stakeholder acceptance.

Description: The monograph walks the reader through the hindsight, insight and foresight building process while discussing theoretical and practical issues supporting the building of valid forecasts with provenance for each of these schema examples. That is, the analyst can document the iterative ‘profiling change processes’ mindscape and landscape elements by which and through which the successful forecast is built. This kind of forecast construction ameliorates the ‘black box’ problem of generating pattern output without an understanding of the pattern’s creation or contextual meaning that is often seen when using other methods, particularly machine learning and artificial intelligence. This issue is discussed, referencing appropriate thought leaders.

Description: Enterprise risk management (ERM) is an orderly or guided conduct of an enterprise to deal with risks. For insurers, ERM requires full support and commitment of the senior management. ERM in the U.S. and Canada has evolved over the years into a complex ecosystem.

Description: Canadian Institute of Actuaries (CIA) and Casualty Actuarial Society (CAS), has annually conducted a Survey of Emerging Risks. As the researcher for this project, I have asked open-ended questions thought to be useful to risk managers. In this article, I will summarize one of those questions from the 2015 and 2016 surveys and provide some perspectives for Canadian actuaries: Are there lessons learned that you would like to share with risk managers developing an enterprise risk management (ERM) framework (e.g., what worked, what did not)?

Description: Early detection and assessment of insurer’s insolvency risk are critically important to regulators, insurers, policyholders, and investors for fiduciary assessment of insurer’s financial stability and for protection of potential financial loss associated with insurer’s insolvency. This proposed study aims to develop a market-based insolvency prediction model to detect financially distressed insurers at an early stage with the information content of higher moments from the market.