Description: The coming wave of biosimilars could have a major impact on prescription drug spend in coming years. The big event of Humira biosimilar launches in 2023 will be significant in determining that ultimate impact. Payers are making coverage decisions. The more biosimilars are utilized, the greater the potential savings. How will biosimilar adoption be maximized?

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: Description of the mathematics involved when looking at low probability events within a company from the perspective of the C-Suite. The accumulation of small probability events leads to a much higher probability of at least one of them happening in a given period.

Description: U.S. News & World Report Ranks Actuary in Top 10 of 100 Best Jobs of 2024 - January 25, 2024

Description: This paper delves in the four pillars that support the professional exercise of an actuarial mathematician: operating, teaching, consulting and researching.

Description: Read the simplified Chinese version of the report "Life Insurers’ Actuarial Transformation Journey and the Impact of Analytics".

Description: "Hear AM Best rating analysts discuss the rating process and the best capital adequacy ratio (BCAR), a quantitative foundation for AM Best’s assessment of carriers’ financial strength. The benchmarking of BCAR scores for various company types (national MCOs, BCBS plans, smaller regional plans) will be discussed. Look at how changes in investment and underwriting environment impacted the results over the past several years. Further, AM Best’s view of the quality of capital and various factors impacting the overall assessment of the balance sheet strength will be discussed. By attending this session, you will: Gain an understanding of AM Best’s building block approach to ratings and how the BCAR results fit into the process. Learn the differences between RBC and BCAR models. Learn how various factors—e.g. liquidity, financial flexibility, financial leverage, the org structure—impact the final AM Best assessment of health companies' capital."

Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.

Description: This report is a comprehensive survey of existing literature on mortality and race and ethnicity in the United States, examining disparities in mortality rates among different racial and ethnic groups. It explores factors influencing mortality differentials, including socioeconomic status, health care access, and other relevant aspects.

Description: Learn more about interpretable machine learning techniques for health insurance fraud detection.