Description: This article summarizes the results of the eleventh annual survey of emerging risks.

Description: This case study is intended to educate insurance professionals on historical insurer impairments and insolvencies and possible future prevention indicators.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This report summarizes the major findings from the 14th (2020) emerging risk survey.

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 system of using securities exchanges and commodity futures contract exchanges is inadequate to the task. Neither can transfer the risks of derivative financial contracts to the capital markets. Regardless of the degree of regulation or the financial incentives, this system is insufficient. A new type of exchange is needed that copes with fast price changes – even from “long” to “short” – without inviting bankruptcy.

Description: Leading enterprise risk management ERM actuaries identified the top 11 areas of risk of 2011 and will provide monthly insight on how ERM programs can be used to hedge against those systemic risks. 'A realistic outlook on the probability of impending natural disasters and their associated risks will help businesses and individuals better prepare, helping to lessen the severity of impact on the global economy while also seizing opportunities to help those in need.' From the Bubble Risk Bulletin-June 2011.

Description: The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning with an application to risk management. The method relies on typical ANN components such as nodes, activation functions, and optimization through gradient descent.

Description: The article summarizes the SOA survey conducted of risk professionals regarding their understanding of important risk terms. The results contain perceptions by individuals and also firm-level information. Survey responses clearly demonstrated high differences in risk definitions.