Description: The insurance industry hinges on accurate actuarial assumptions. This session explores how insurers can leverage AI/machine learning (ML) to unlock greater accuracy and granularity in assumption setting, while effectively managing risks, implementing strong governance frameworks, and meeting validation expectations from regulators.

Description: Corrections to table in 1986-98 Credit Risk Loss Experience Study relative to S&P default and average loss rates by credit rating.

Description: The Society of Actuaries SoA developed this research project to repeat and expand upon its “Group Medical Insurance Large Claims Database Collection and Analysis” study, which was published as a monograph in August of 1997. The general purpose of these studies is to discover and analyze factors affecting claim incidence rates and the distribution of claim sizes. This is the report for the database. Please see the SOA website experience studies for Group Health for the databases themselves.

Description: Experience-study instructions to contributors. Looks to develop inter-company information about expenses for many types of individual [not group] life and annuity products.

Description: The Committee on Life Insurance Company Expenses is currently seeking life insurance company data submissions to the 2009 Individual Life and Annuity Expense Study. This is the separate data submission form for Universal Life.

Description: The Committee on Life Insurance Company Expenses is currently seeking life insurance company data submissions to the 2008 Individual Life and Annuity Expense Study. This is the data submission form for Universal Life Products. Please see the SOA website experience studies for teh completed study.

Description: Because data quality is critical in the measurement of an event as rare as the death of a supercentenarian, special care must be used. We will discuss practical methods of validation used by researchers in the field, alternate methodologies and data cleaning procedures to ensure validity of mortality data as extreme old age. We will also explore some of the consequences of inadequate data preparations on the curve of mortality at the end of life.

Description: Write-up of 2018 Actuarial Research Conference from an international perspective.

Description: A short article looking at the results from an annual assumption survey of VA writers with a focus on changes companies observed and planned to make due to COVID-19. In the article we discuss what companies should be considering as they approach the 2020 year end assumption setting and audit season.

Description: This report examines the mortality of Canadian pensioners subdivided by pension level, using data from the Canada Pension Plan (CPP) and Québec Pension Plan (QPP)