Description: Embedded Insurance for Personal Life Products - The Next Frontier

Description: Actuaries have the business acumen, problem-solving capabilities, and technical skills to develop innovative and data-driven solutions in the social insurance space. It is time we expand our scope and embrace an increased role in making a positive impact within the health care ecosystem. The primary focus of this paper is on social insurance programs dedicated to the most vulnerable population: low-income families accessing care through Medicaid. While there are numerous challenges that require other subject matter experts to take the lead, this article highlights topics where actuaries can be key players in developing and implementing tangible solutions to improve the care for the most vulnerable. Issues and solutions in this paper focus on the following three areas: 1. Access to appropriate care, 2. continuity of care, and 3. social determinants of health.

Description: ACA risk adjustment is intended to "bridge the gap" between allowed rates and actuarial rates. If risk adjustment methodology is not bridging that gap & becomes an additional input to pricing formulae, it is not serving its intended purpose.

Description: As actuaries in health care, we spend most of our time focused on reviewing claims, enrollment and clinical data. That information is captured while patients are in health care facilities. Yet most people spend only a small fraction of their time in these facilities. This article explores what types of data are available to actuaries the provide a more holistic view of the member so that a members physical and emotional needs, the social determinants of health can be taken into consideration along with their clinical needs. Two uses cases are presented so actuaries can see how these types of analyses can be leveraged to improve clinical, operational, and financial performance of risk bearing health entities. Understanding the customer (member) not just the patient enables actuaries to provide new insights and values to our stakeholders across a wide range of business and risk applications.

Description: Lifetime pension pools convert a lump sum into lifelong income, periodically adjusting benefit payouts based on mortality and investment experience. Volatility-targeting strategies can enhance benefit stability by dynamically adjusting the investment portfolio’s exposure to risky assets in the context of these pools, demonstrating superior performance compared to traditional static asset allocation methods.

Description: This article highlights the fact that new requirements for disclosure of average liability duration and interest rates could lead to diversity in practice. It also recognizes that elements of the new disclosure requirements will enable financial statement users to perform their own crude estimates of these averages in ways that could help them to better understand the liabilities and to compare companies using consistent methods. Finally, the article describes how companies might also find value in such crude estimates.

Description: Overview of call center and digital sales platforms for the development of distribution strategy in the individual insurance market.

Description: Our previous article, “Introduction of Cashflow Matching Strategic Asset Allocation (SAA) Framework,” introduced the concept and included a real-world case study that developed a liability-driven investment strategy for a single line of business (LOB) for a life insurer. This article expands the framework and the case study from a single LOB to simultaneously optimize asset allocation across multiple LOBs. It discusses how this multi-line SAA framework can enable an insurance company to efficiently tag its asset holdings to each LOB, identify opportunities in the public and private asset markets to enhance risk-adjusted returns, and develop a deeper understanding of the trade-off between the degree of cashflow matching and risk-adjusted returns across LOBs.

Description: A look at current AI usage and future use cases.

Description: When designing and pricing a healthcare product, it is not only important to know how to model frequency and severity, but it is essential to understand human behavior. Of course, the issue of anti-selection in medical insurance is well known as individuals know more about their health and prior expenditures than an insurer does. This type of behavior is certainly rational, and to be expected.