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

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: 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: Study of the Effect of a Flu Pandemic on Insured Mortality Using the Delphi Method

Description: Form to collect a company’s preferred class structure information for 2005-2007 life insurance experience study

Description: Feature article about how life insurance companies can manage the financial risk of life and annuity unclaimed property.

Description: Are you 'dying' to learn about how the mortality data, submitted under the NAIC's Valuation Manual Experience Reporting Requirements (VM50 & VM51), is used? The SOA's Individual Life Experience Committee (ILEC) will describe the data validation 'experience' and explain on how the data eventually influences statutory valuation requirements. The presenters will also 'expose' attendees to the latest insights and observations in the data. Attend this session and learn how the SOA 'minds it's p's and q's' in individual life insurance. At the conclusion of the session, attendees will be able to: - Describe the various types of SOA research that have been performed on the data collected under VM50 and VM51 - Describe the database, released by the SOA, that is compiled from the data collected under VM50 and VM51 - Explain the importance of data quality in VM50 submissions - Identify how the data that is submitted under VM50 would be used to determine Principle-Based Reserving requirement