Description: Using data from the Mexican Social Security Institute for labor risks, this paper classifies the severity of sequels in three categories: mild, moderate and high, and attempts to relate this level with the characteristics of the worker and his activities at work. Toward this goal, a model was built using a multilogistic regression, which allowed predicting the severity of physical sequels caused by a labor risk. From Actuarial Research Clearing House, 2006.

Description: This paper considers the question of whether or not the growth in the size of financial statements witnessed over the last several years has yielded an increase in the quality of disclosure around issues of financial risk and to what extent this disclosure is satisfying the perceived needs of readers of the financial statements, as represented by the investment analyst community. The question is addressed by presenting the results of research consisting of 1 the review and analysis of the disclosures addressing issues of financial risk contained within financial statements issued from 1999 to 2004 by 25 major insurance companies operating in the US and 2 the interviewing of 5 insurance industry analysts to understand their perceptions of what is good and bad about financial disclosure practices of life insurance companies.

Description: The research provides a modeling framework for assessing the inundation risk of properties and their expected flood damages, thereby laying a foundation for flood insurance pricing. The researchers studied over 50 years of claims data from the National Flood Insurance Program with 2.5 million records and identify property characteristics that predict flood damages for inundated properties. The development of a private flood insurance market benefits from insurers’ ability to better understand and price flood risk. This research takes a closer look at flood risk modeling and flood insurance pricing.

Description: This paper summarizes the results of a survey of waiver of premium/monthly deduction rider assumptions and experience.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: This analysis is being done to determine how recent experience, from the statistical agent data collected by MIB, is emerging relative to the 2015 VBT.

Description: This report covers the latest emerging trends in U.S. population mortality. The SOA relied upon data furnished by the Centers for Disease Control and Prevention (CDC). Observations are based on the CDC’s recent release of 2021 mortality experience, along with prior mortality experience data from 1999 through 2020.

Description: LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA) Research Institute, and TAI have collaborated on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience and share the emerging results with the insurance industry and the public. This report documents a high-level analysis of the claims that have been reported.

Description: On January 12, 2023, the Arizona Blockchain Applied Research Center (AZ BARC) and the SOA Research Institute jointly ran a workshop on the use of blockchain technology in insurance and financial industries. The workshop included presentations focused on academic research in the blockchain space by Arizona State University, AZ BARC and an industry expert panel assembled by the SOA Research Institute. This document summarizes the research highlights and the discussions that occurred during the two-hour workshop.