Description: Presents a step-by-step methodology for calculating confidence intervals for IBNR estimates derived using the Averaqe PMPM method. It is a companion article to the January 2023 Health Watch article presenting the Average PMPM method for generating point estimates of IBNR with zero claims runout.

Description: The article contains a description of the Emerging Topics Community. The focus of the article is what is a community, what makes the Emerging Topics Community special, and benefits of the Community. Included after the discussion on the community are ways to get involved and be a part of the community.

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.

Description: This article takes a look at how defined benefit (DB) pension plan financials ended the third quarter of 2023 on a solid footing, improving the capacity to take meaningful de-risking actions; as DB plans look to de-risk at reasonable costs, they may find it beneficial to consider a broad range of investment options; and completing a core bond allocation with private credit and income-oriented alternative strategies can help achieve important savings over other frequently pursued de-risking approaches, without materially increasing the funded status volatility or downside risk

Description: This article summarizes findings from a recently published peer-reviewed study in the Journal of Risk and Insurance (Hanewald et al., 2025),[1], which examined how access to housing wealth affects stated demand for LTC insurance in China. We conducted a survey of homeowners aged 45-–64 across 49 cities in China and found that offering reverse mortgages or home reversion products significantly increased stated demand for LTC insurance. This article highlights the study’s key results and implications for insurers, actuaries, and policymakers.

Description: The article highlights the importance of learning and development (L&D) for personal and professional growth. While many have access to resources like seminars and online courses, few fully utilize them. Genuine curiosity, behavior shifts, priority management, and discipline are key to effective L&D. Learning is an active, deliberate process, requiring consistent effort and time management. It’s important to set clear goals, create a timeline, and schedule regular progress checks. Rather than relying on motivation alone, building disciplined habits is crucial for sustained improvement. Ultimately, personal growth is a self-driven journey, not dependent on external validation.

Description: This article is about being solution oriented and presenting a solution for every problem.

Description: New digital data known as alternative data is everywhere. Our industry has seen the financial, and hi-tech industries leverage new digital data to expand their key offerings and core services. From the lens of the global life and health industry, new digital data is still searching to be further understood. Risk assessment is a current focus area for using alternative data. A key question is even though risk assessment has always been data-driven, can it now move to the next level with the arrival of this alternative data. Can we use alternative data to make the risk assessment process quicker, cheaper, or faster thereby driving more sales and better conversion rates. It is an exciting time! With the increased adoption of health and well-being apps, data such as physical activity, nutrition, sleep, and mental wellness is now readily available. Expanded data such as digital biomarkers, IoT data, electronic health records and many more can also be accessed. However, how to effectively implement alternative data remains a challenge across the industry. We firmly believe it is, and will continue to be, imperative to take a structured approach to alternative data through a set of key considerations and a framework of principles.

Description: Article presents the basic terminology and theory of attribution theory, the theory explaining the causes that people attribute their successes and failures to. The article reviews i) typical attributions(e.g. effort, luck), ii) dimensions of attribution (controllability, stability), iii) useful and non-useful attributions, and iv) attribution retraining and v) other aspects of the theory (such as accompanying emotions)