Description: The digital revolution has transformed the insurance sector, introducing new technologies and innovative players. Traditional insurers face challenges from Big Tech and insurtech startups, prompting them to adapt or innovate. This study presents a framework to analyze market dynamics and potential partnerships, helping insurers identify competitive advantages and future paths in a digital era.

Description: This is a detailed report analyzing the 2019 Individual Life Insurance Mortality Experience, focusing on data validation, trends in mortality experience, and comparisons between different datasets. It includes insights on mortality patterns by age, sex, policy characteristics, and provides detailed methodology and findings.

Description: This report provides a resource guide for asset-liability management practitioners, including methodology reviews, a survey of ALM practices, and guidance for applying ALM questions to real-world situations.

Description: The primary purpose of this paper is to demonstrate, through a basic stochastic projection model, how inflation might impact savings and investing for retirement.

Description: This report provides actuaries and other professionals working with risk, data and analytics or program evaluation in the health care space with considerations and frameworks related to the use of determinants of health (DOH) in data and actuarial work streams. Such frameworks can leverage new data sources to enrich health care data analysis to move beyond traditional data elements, such as age, gender, zip code or health diagnosis.

Description: This study was undertaken to ensure the ongoing adequacy of the modified 1985 CIDA table as specified in Valuation Manual Section VM-26 for single premium credit disability insurance. In addition, the shift in the distribution of sales by term between contracts issued in previous study periods to 2017 and 2021 was analyzed.

Description: Report summarizing the results of the 2019 PBITT UL with Secondary Guarantees Survey.

Description: This research report introduces Delta Boosting as a new member of the boosting family.

Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report that develops a framework for applying deep learning and reinforcement learning techniques to optimal dynamic strategic asset allocation for Liability Driven Investment (LDI).

Description: The Society of Actuaries Research Institute is pleased to make available a report that aims to understand the cause of low annuity demand through the angle of mortality model uncertainty.