Description: Research Sponsorship Opportunity: Post Pandemic Mortality by Generation

Description: In recent years, vast amount of data from emerging experiences has helped insurers gain a deeper understanding of their policyholders and the factors driving their behaviors. However, due to limitations in traditional experience study methods, this understanding typically remains at the cohort level. This series of articles proposes a novel machine learning-based model that analyzes and predicts policyholder behaviors at the individual policy level. Policyholder embedding representations are learned using a Recurrent Neural Network (RNN) that takes into account the sequence of historical transactions associated with a policy. Additionally, a Neural Network with a multi-head architecture is trained to predict the policyholder's next action based on the policyholder embedding and other policy attributes. The resulting model offers several advantages over traditional experience studies and assumption-setting methods, including the ability to set policy-level assumptions that improve reserve accuracy, predict multiple behaviors simultaneously while capturing the interrelationships between them, and generate policyholder embedding representations that are useful for segmentation.

Description: The Society of Actuaries (SOA) is pleased to present historical U.S. population mortality rates by sex and single year of age for calendar years 2000-2021.

Description: Almost half of recent FDA approvals have been for orphan drugs. This trend is expected to continue in 2023. Orphan drugs are priced more than 30 times higher than non-orphan drugs, therefore their cost burden in aggregate has the potential to overwhelm the budgets of payers, especially that of smaller health plans. Hear how the cost impact analysis for smaller health plans require different considerations than for a larger health plan when modeling the impact of rare diseases.

Description: A comprehensive primer on long-term care wellness programs, their design, implementation, challenges, metrics for success, and emerging industry practices.

Description: Join a dynamic panel of accelerated underwriting (AU) experts as they discuss results from three recent AU industry surveys, including from the Society of Actuaries (SOA) and two reinsurance studies. They'll share similarities and examine differences in their findings as they cover historical trends, current practices and their outlooks on the future of this evolving underwriting paradigm. By the conclusion of the session, you will have gained knowledge on the data and trends available from these surveys, as well as understand what AU program modifications are needed to keep pace with the industry.

Description: The Retirement Plans Experience Committee of the Society of Actuaries (RPEC) is pleased to present this annual update to the RPEC_2014 model and its corresponding mortality improvement scales. This new version of the model reflects historical U.S. population mortality experience through 2018. For clarity, the updated mortality improvement scale based on this 2020 version of the model is called Scale MP-2020.

Description: The Society of Actuaries Individual Disability Experience Committee has completed their study of incidence experience for the period 2006-2014 comparing trends to the 2013 IDI Valuation Table (2013 IDIVT) base incidence rates. Included is the report and pivot table.

Description: This report details the method taken to develop the aggregate databases 2000-2016 Long-Term Care Intercompany Experience Study.

Description: The SOA Research Institute and LIMRA have completed the most up-to-date study of variable annuity contract owner behavior. Learn more about this vital resource for actuaries working with annuities.