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

Description: This research report models the impact on the U.S. insurance market resulting from a post-Brexit economy in the UK.

Description: This report discusses management decision making practices and the need for actuaries to build the appropriate level of variability for management actions in stochastic models to achieve a more realistic range of future experience among the stochastic scenarios.

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 summarizes methodologies used for yield curve extrapolation to value liability cash flows that extend beyond the maximum observavble portion of the yield curve.

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

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: 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.