The ability to benchmark an entity’s results against others in the industry and the industry as a whole can provide significant insights into both actuaries’ daily work and their strategic planning. Using the most advanced benchmarks available can help to ensure a more efficient integration of reserve variability analysis into enterprise risk management processes and enhance an entity’s strategies. Milliman consultant Mark Shapland offers some perspective in this article.
The article was originally published in the March/April 2018 issue of Contingencies.
Subcontractors benefit companies in various industries like utility and construction with specialized knowledge to ensure product quality at a lower cost. However, these companies need to consider the additional liability risks associated with a subcontractor’s work and safety. Careless subcontractors that do not obtain proper insurance coverage can increase a company’s liability and negatively affect its financial results.
What types of insurance coverage does a subcontractor need? What happens when a subcontractor is uninsured without a company’s knowledge? Milliman’s Rachel Soich provides the answers in her article “Subcontractors: How a common business practice could lead to a mountain of insurance costs.”
How will tax reform in the United States affect captive insurers? A.M. Best recently interviewed Milliman’s Joel Chansky on the topic during the 2018 Captive Insurance Companies Association (CICA) International Conference. He discusses several business implications that captives and other insurers must consider related to tax reform.
Milliman has announced that gradient A.I., a Milliman predictive analytics platform, now offers a professional employer organization (PEO)-specific solution for managing workers’ compensation risk. gradient A.I. is an advanced analytics and A.I. platform that uncovers hidden patterns in big data to deliver a daily decision support system (DSS) for insurers, self-insurers, and PEOs. It’s the first solution of its kind to be applied to PEO underwriting and claims management.
“Obtaining workers’ compensation insurance capacity has been historically difficult because of the lack of credible data to understand a PEO’s expected loss outcomes. Additionally, there were no formal pricing tools specific to the PEO community for use with any level of credibility—until gradient A.I. Pricing within a loss-sensitive environment can now be done with the science of Milliman combined with the instinct and intuition of the PEO,” says Paul Hughes, CEO of Libertate/RiskMD, an insurance agency/data analytics firm that specializes in providing coverage and consulting services to PEOs. “Within a policy term we can understand things like claims frequency and profitability, and we can get very good real-time month-to-month directional insight, in terms of here’s what you should have expected, here’s what happened, and as a result did we win or lose?”
gradient A.I., a transformational insurtech solution, aggregates client data from multiple sources, deposits it into a data warehouse, and normalizes the data in comprehensive data silos. “The uniqueness for PEOs and their service providers—and the power of gradient A.I.—emerges from the application of machine-learning capabilities on the PEOs’ data normalization,” says Stan Smith, a predictive analytics consultant and Milliman’s gradient A.I. practice leader. “With the gradient A.I. data warehouse, companies can reduce time, costs, and resources.”
For more on how gradient A.I. and Libertate brought predictive analytics solutions to PEOs, click here.
There are a number of areas of International Financial Reporting Standard (IFRS) 17 where the International Accounting Standards Board has allowed firms to make choices on their approaches. This paper by Milliman consultants focuses on the approaches available under IFRS 17 for the derivation of the discount rates for use in the various calculations required by the Standard.
While International Financial Reporting Standard (IFRS) 17 provides little guidance about coverage units and the contractual service margin (CSM), insurers may be able to find quick but reasonable choices from current modeling philosophy or certain existing standards such as U.S. GAAP. Insurers should carefully examine the consequences and reasonableness of those choices in light of the characteristics of their businesses, as coverage units are very important factors for determining the future profit signature under IFRS 17. Milliman’s Takanori Hoshino, Kurt Lambrechts, Sjoerd Brethouwer, and William Hines provide perspective in this paper.