Description: Spreadsheet with documentation for exhibits to the May 2007 report: The Potential Impact of Pandemic Influenza on the U.S. Life insurance Industry

Description: This paper demonstrates the calculation of the moments of the distribution of aggregate life insurance claims from seriatim inforce data, assuming that each record represents an independent Bernoulli trial with its own known probability of a claim, q. Continuous distributions matching the first three or four moments are identified.

Description: This article discusses the utilization of credibility concepts to reinsurer-cedant moratality analysis.

Description: The article summarizes two of the highest rated sessions sponsored by the Reinsurance Section during the 2013 SOA Annual Meeting in San Diego.

Description: The embattled life insurance industry in Australia needs to come to terms with a new environment of heightened claims volumes, unprecedented losses, changing distribution models and even reduced benefits. Like the mythological phoenix that spectacularly regenerates from its ashes every century, Australia’s life insurance industry needs something special to rise from its ashes. Claims management innovation promises to give the necessary impetus for a market that is desperate for some good news, whilst laying the foundation for a claims revolution worldwide.

Description: Outlines the minimum amount of data required to participate in the 2005-2007 life claims study

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.

Description: In this paper it will be shown that the result of using the 1975-80 Select and Ultimate Table as opposed to the more modern 1990-95 Select Ultimate Table can be a significant understatement of future mortality and hence, anticipated profits may prove to be illusory.

Description: A news release about the Wildfire Morbidity report and Wildfire Mortality report being published.

Description: Read the Quo Vadis Reinsurance.