Description: This report is a follow-up to the 2018 Group Long-Term Disability Experience Study Report. This report analyses the same dataset, but focuses on the new variables that are included with that dataset, and also details the application of various Predictive Analytics techniques to the data.

Description: Just as the U.S. is dealing with a new surge of COVID-19 hospitalizations and death, the pandemic’s impact on the nation’s mortality rate is generating heightened interest. Two new reports issued from the Society of Actuaries provide important insights.

Description: The VBT Analysis Subgroup (“Subgroup”) of the Joint Academy Life Experience Committee and SOA Preferred Mortality Oversight Group (“Joint Committee”) recommends the approach documented in this report for determining when there is sufficient change in the emerging actual mortality experience relative to the current VBT to warrant changes to the table.

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.

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

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.

Description: View the VBT Analysis 2009-2017 for 2021 V3 w Report Calculations.

Description: This report is a follow-up to the 2018 Group Long-Term Disability Experience Study Report. This report analyses the same dataset, but focuses on the new variables that are included with that dataset, and also details the application of various Predictive Analytics techniques to the data.

Description: The VBT Analysis Subgroup of the Joint Academy Life Experience Committee and SOA Preferred Mortality Oversight Group recommends the approach documented in this report for determining when there is sufficient change in the emerging actual mortality experience relative to the current VBT to warrant changes to the table.