Description: The implementation of the IFRS 17 insurance accounting standard has brought significant changes to the financial reporting landscape of insurance companies. With new disclosure requirements and altered profit analysis, understanding and interpreting future profitability have become a topic of concern for the industry. While stability remains a key objective for insurance companies, the earning patterns might become more volatile especially when the contractual service margin (CSM) is exhausted, and a loss component (LC) needs to be established. Reinsurance, a common risk mitigation tool, can play a pivotal role in managing earnings volatility and minimizing losses for onerous measurement units. In this article, we propose a new key performance indicator (KPI) called “loss recoverability” to assess the performance of reinsurance treaties in achieving these objectives. We explain how this KPI can be utilized in multiple scenarios to evaluate the effectiveness of reinsurance strategies and pursue stability in earning patterns.

Description: Mental health, suppoting policyholders

Description: This article is a summary of the SOA Research Institute report published in April 2023 on Megatrends Impacting the Future of Retirement Plans.

Description: The Research Executive Committee (REC) of the SOA Research Institute oversees the funding of the Emerging Issues Pool. This key source of research funding is used to sponsor projects that are beneficial to the entire profession, across practice area boundaries that may require funding levels beyond the normal annual funding budgets of research committees and sections. The REC is issuing this Request for Proposals (RFP) to fulfill the strategic goals of the organization through the use of this pool for funding new projects.

Description: Introduction to the newsletter and general comments. Announces the Call for Essays competition for Social Insurance health topics.

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: Actuaries are leveraging predictive modeling and machine learning more and more as they strive to provide greater value to their stakeholders. Actuarial standards of practice provide guidance around modeling and data. The world has changed significantly over the last few years, so it is important these models be tested for fairness as well as any statistical biases. This article addresses some of the key issues actuaries need to be aware of as Corporations and society work through the responsible us of this technology and underlying data.

Description: Results of the 2021 SOA Life Reinsurance Survey

Description: Interview on opportunities for InsurTechs in Life and Health reinsurance. Themes covered include digital distribution and digital health data. The article also shares insights into the role of the reinsurer when working with InsurTechs.

Description: Panelists from the home-based care industry will discuss the latest technology and services that enable and prolong the receipt of formal and informal care at home for the elderly and delay transitions to care facilities.