Description: This is the full research report for the thirteenth Emerging Risk Survey which summarizes the results of the survey.

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 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: 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: This survey attempts to track the thoughts of risk managers about emerging risks across time. It is the 14th survey of emerging risks sponsored by the Canadian Institute of Actuaries (CIA), Casualty Actuarial Society (CAS) and Society of Actuaries (SOA). The researcher thanks the Financial Reporting and Reinsurance Sections for their financial support, and the Joint Risk Management Section for logistics and governance.

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: 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: 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: 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: 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.