Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging

Description: The SOA, with SCOR as the researcher, completed an experience study of post-level term (PLT) lapse and mortality. In the first part of this session, the presenters will cover the key findings of the traditional analysis regarding the shock lapse, the PLT lapse and mortality experience. The remainder of the session will focus on the results of the predictive modeling, which will provide further insights into policyholder behavior in the post-level term period.

Description: The COVID-19 pandemic has had an impact on all aspects of daily life and its impact extends to how disability incidence may play out in the future. Product profitability will be shaped by how morbidity patterns, interest rate levels and other key drivers will play out into the future. In this session, our panel will discuss COVID’s impact on IDI morbidity experience as observed over the past 18 months, offer comparisons and insights in light of other insurance lines of business, and share emerging information on the on-going effects of Long COVID. Highlights will also include how regional differences and implications for insurers as the industry moves further into the COVID vaccine era.

Description: Renal disease is a very heterogenous medical condition whose end state is dialysis, a recurring cost intensive medical condition. Dialysis cost is one of the major medical cost drivers in USA. Insufficient and improper care management in the early stages of CKD (chronic kidney disease) leads to early incidence of end stage renal disease (ESRD) among CKD patients which not only leads to high medical costs, but also reflects poor health quality.

Description: Chapter 1 presents the background to the current study, followed by the methodology used, and a summary of the findings of the study. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Four appendices are attached to the monograph: a letter requesting information, two letters requesting participation, and a set of general database specifications. From Group Medical Insurance Large Claims Database Collections and Analysis, M-HB97-1.

Description: Universal Life with Secondary Guarantees (ULSG) was first introduced in the late 1990's as low-cost, long-term death benefit protection. As this business ages, writers are experiencing pressured earnings from emerging experience, secondary markets for insurance products and low interest rates. In response, writers are sharpening their pencils on experience analysis and risk management with an eye for opportunities to increase the performance of their blocks.

Description: For actuaries interested in term life insurance, add this webcast to your calendar. Our panel of experts will discuss term life insurance from the following perspectives: Pricing Product development Reserving Risk management They will also discuss exploring data visualizations using Tableau.

Description: This presentation is a concurrent session from the 1980 Annual Meeting of the Society of Actuaries, held October 20-22 in Montreal. This session was arranged by the American Statistical Association, ‘ASA,’ and the five panelists are biostatisticians, the moderator being the sole actuary. It is the result of efforts by the ASA and SOA to work together and provide sessions at each other’s meetings. The panelists discuss specialized techniques developed for making greater use of noninsurance studies such as medical follow-ups and clinical trial analyses, which may, because of their nature, involve relatively small groups, and compare them with the more traditional actuarial methodology. Discussion from participants is included. From the Record of Society of Actuaries, Volume 6, No. 4.

Description: Emerging Applications of ESG Methods offers ground-up insights on cutting edge applications of economic scenario generation. The course will focus on the incorporation of climate change risk in scenario modeling and investment applications of ESGs. The following topics will be covered: Approaches to climate risk modeling. Climate risk is very different than classical financial economic risk. Radical uncertainty is amenable to scenario analysis and lack of data. Building special deterministic scenarios that go beyond NGFS requirements as well as bespoke scenarios. Holistic Approach to Climate Risk Modeling. Overview of different Climate Risk Modeling Applications. Use of ESG scenarios for Strategic Asset Allocation (SAA). Liquidity risk management.