Description: This paper provides a summary of the report, Back Testing of Investment Performance by Asset Class.

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

Description: This research report is on the incorporation of flood and other catastrophe model results into pricing and underwriting.

Description: In this study, a network approach is taken to characterize the systemic risk of two nontraditional insurance industries: the bond insurer industry and the CDS market. These industries were chosen since traditional insurance industries do not generate significant systemic risk.

Description: The Casualty Actuarial Society, Canadian Institute of Actuaries, and the Society of Actuaries' Joint Risk Management Section and the Joint Risk Management Research Committee are pleased to make available a new report on the application of ERM. Authored by Bonnie-Jeanne MacDonald, Sim Segal, Michael Wolfson and Heidi Walsh, the report provides a novel demonstration on how ERM can be applied to serve the Canadian public by informing decision makers on the risks facing the current and future delivery of long-term care.

Description: This research report examines readers to Insurance-linked securities (ILSs) emphasizing catastrophe bonds (CAT) and industry loss warranties (ILWs).

Description: The Committee on Finance Research is pleased to make available a research report summarizing the results of a survey exploring market risk practices at insurance companies.

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

Description: This study examines and describes parameter uncertainty. The paper provides structures to incorporate parameter uncertainty in quantifying risk.

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.