Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.

Description: An article presenting updated results as of 12/2021 by using analgorithm that formed part of a paper presented at the AFIR-ERMColloquium which took place in Panama, in 2017. This article starts by proving that the conditions that have to be met in order for the formula to apply that were present in 12/2015 still hold.

Description: Bell is comparing his roles from that of an actuary in the USA to that of an actuary working in Cameroon, for a pan-African insurance company.

Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: An introductory article describing how Bayesian statistics has evolved over the past 20 years and why it offers the actuarial discipline powerful tools to better understand and manage risk. Compared with traditional (frequentist) and black-box (machine learning) approaches, Bayesian analysis provides explainable models focused on distributions of estimates instad of simply point estimates.

Description: There will be inflection points in the value of an instrument when interest rates change. These inflection points could materially impact the approximation of value change using ALM metrics. In this part of the seven-part series, I will highlight: • How to identify the inflection points; • the range of rate changes where ALM metrics may be relied upon i.e., the “validity” range, outside of which recalculation of the ALM metrics is required and the potential that one needs to rebalance the portfolio; • a technique to improve on the approximation of value change beyond the validity range; and • a technique to convert non-linear change on the yield curve to be used with duration and convexity.

Description: Whole life insurance nonforfeiture options may be actuarially equivalent at the time premium payments end. When the entire remaining lifetime of the policy is fully considered; however, significant differences emerge in expenses between paying the cash surrender value, converting to reduced paid-up, or converting to extended term insurance. This article explores how a company might manage its existing nonforfeiture options and consider what to continue to offer after a product refiling with that entire lifetime in mind.

Description: Artificial intelligence (AI) at the heart of new digital tools allows actuaries to extract structured data useful for creating more precise risk assessment models. This technology sits best alongside the expertise of insurance professionals who have years of experience in the industry. RGA’s partnership with DigitalOwl is an example of how AI combines with human knowledge for the best outcomes.

Description: With more than 24 years of experience in the reinsurance market, Bruno Freire is the CEO and one of the co-founders of Austral Re, along with Vinci Partners, a private equity firm. Austral Re is a Brazilian- based multiline reinsurer which that writes business across Latin America. It has grown organically throughout the last 13 years, and had its credit rating upgraded to A- in 2023 by AM Best (it also has AAAbr from S&P). Before joining Austral, Bruno had been a reinsurance broker at Aon Re for more than 10 years, having witnessed the opening of the reinsurance market in Brazil. As we will be seen in his interview the following, he believes in a data driven analytic approach, client focused but with an underwriting mindset, as well as a strong support from actuaries and technology as key instruments to run a reinsurance company successfully.

Description: Heatmaps are an effective tool for visualizing changes in cancer incidences over time in large datasets. They can show the impact of screening measures, particularly when targeting specific age groups, and reveal characteristics of individual cohorts.