Description: The article discusses recently-issued regulations under section 807 of the Internal Revenue Code, concerning the computation and reporting of reserves. The provisions addressed generally relate to the Tax Cuts and Jobs Act of 2017.

Description: This article describes the availability of experience rating within COLI and BOLI programs and compares the effects of including or excluding this feature.

Description: Read the June 2020 issue of Product Matters! published by the Product Development Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Read the April 2020 issue of Product Matters! published by the Product Development Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: As term carriers continue dealing with the implementation of PBR, the 2017 CSO mortality table, accelerated underwriting programs and predictive models, one wonders what the next significant challenge will be for the term market. The implications of these changes are yet to be seen fully, and monitoring of the results will be important in the years to come. ...

Description: This article discusses the trends, developments and emerging issues of life settlements in 2006.

Description: In this article, we discuss the future of wearable technology in life insurance. Evidence from recent research shows that low levels of physical activity, as measured by steps per day indicate much higher mortality risk while higher levels of activity correspond with lower risk. The article shares insights of how insurers can use wearables to innovate by improving the customer journey, expanding insurability, engaging customers, promoting healthy lifestyles and improving risk assessment. Lastly, we discuss the challenges and considerations when using new data and technology to ensure success.

Description: We look in this article at the challenges which life insurance companies operating in a low interest environment have to face.

Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.