Description: Tidbits include discussions about: Policy loans in excess of cost basis, treatment of loss adjustment expenses, LAE, for life insurance companies, and separate account investments in group trusts.

Description: As stochastic modeling has evolved, it has divided down two paths—real-world and risk-neutral. This article discusses this division and shows how these paths may be re-united through the use of deflators.

Description: Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the report summarizes the results of a study on the application and adoption of credibility theory within the life insurance and annuity industry. In addition to the report, numerical examples related to the application of credibility to company mortality and lapse data are provided in the four Excel files. This excel spreadsheet is a numerical example relating to the application of Credibility for mortality. Please see the SOA website research section for the complete report on Credibility Theory Practices.

Description: Unloaded (basic) and loaded, ultimate tables for males on an age-last birthday and age-nearest bases as of 2017

Description: This report utilizes a literature review, company survey, company interviews and/or other methods to catalog a listing of common living benefit riders. It was sponsored by the Product Development and Reinsurance Sections along with the Committee on Life Insurance Research. This paper has several goals in relation to each living benefit rider type: to define various living benefit riders, to provide historical sales data and general filing requirements, to explore how underwriting and administration is handled, and to comment briefly on the overall level of claims activity experienced thus far compared to pricing expectations. In addition, it includes a review of the direct and reinsurance pricing implications of the riders to the extent they impact policyholder optionality and base plan financial characteristics. This paper includes perspectives developed through the experience of the authors, and includes executive summaries of a survey conducted by the SOA and Milliman of 34 direct writers, and interviews that Milliman conducted with 8 reinsurers.

Description: The SOA Research Institute engaged Milliman to perform a study examining life insurer practices on accelerated underwriting and how COVID-19 has impacted them. This effort included a separate outreach to actuaries working for twelve different state insurance departments. At the time of this report, three responses to our regulatory survey had been received. Therefore, the results of the three-question survey are discussed in broad terms, rather than using numerical measurements.

Description: This report contains a set of of unloaded and loaded mortality tables for guaranteed issue business.

Description: 1991-1995 individual life experience studies table.

Description: This report contains a set of of unloaded and loaded mortality tables for guaranteed issue business.

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.