Description: The IAA has published a textbook-sized monograph on implementing risk adjustments under IFRS 17. This monograph will be helpful to those calculating the risk adjustment and those who want to know what the risk adjustment represents and how if affects period to period reporting.

Description: Risk adjustment is needed under IFRS 17 to reflect the compensation that a company requires for bearing the uncertainty about the amount and timing of the cash flows that arises from non-financial risk. Companies are also required to disclose the method and confidence level used for the calculation of the RA. However, IFRS 17 doesn’t specify a method and a confidence level, nor does it provide a list of specific risks that are considered to be non-financial risk. Companies need to define them based on their own preferences or existing practices. This article will introduce available approaches and discuss the confidence level approach with potential consideration stemming from industry preferences and illustrative examples.

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: Market consistent valuations require path-dependent discounting for scenarios. IFRS 17's requirement to discount best-estimate cashflows using locked-in rates could give non-sensical results in many instances. This article describes a technique for calibrating each of the scenario's cashflows so that they can be discounted with other discount factors or curves without distorting the value of underlying options and guarantees.

Description: Recent and pending changes in financial reporting standards and regulations such as IFRS 17 and US GAAP Targeted Improvements are ramping up the performance pressures on actuarial models. New infrastructure technology in the cloud is driving modeling options that may well help actuaries successfully and economically meet these challenges and unlock even greater transformational change.

Description: This presentation shares experience and ideas of both AIA Group and AIA China during implementation of the IFRS17 project and will discuss potential impact and outlooks in the domestic market from IFRS 17. This presentation includes a general overview of an IFRS17 implementation project, focusing on changes and requirements, as well as the resources cost of the main challenges and relative resources.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: Actuaries and their IT counterparts are required to collaborate more frequently and on more complex projects than ever before. The recent accounting changes (LDTI, IFRS 17, PBR), investor demands for increased transparency, and competitive pressures have led to many insurers undertaking large actuarial and financial transformations. As a result, senior management is challenging their actuarial and IT leaders to develop new processes that use data in new and improved ways. The actuarial and IT functions are being tasked with not only delivering on changes to systems, processes, and data, but also with rethinking how their teams collaborate and interact

Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.

Description: S&P reissued a second Request for Comment (RFC) in May 2023 that proposed changes to their insurer capital adequacy methodology and assumptions, and suggested these proposed changes may become effective at the end of 2023. This paper is to highlight the notable changes between the current capital model criteria and the proposed model. We also discuss major changes from the first RFC and the second RFC, as well as several key items that still require enhanced guidance and clarification. Our analysis is based on information gathered from S&P's public comments, conversations with industry participants, and publications released by S&P Global as of July 2023 when this paper was written. Most U.S. life insurers are rated by S&P using their U.S. Life Statutory Capital model, while other insurers use the GAAP/IFRS Capital Model. Statutory financials will remain the starting point for U.S. life insurers under the proposed model, however there will be additional adjustments made to these numbers in an effort to create consistency and comparability with other accounting and solvency regimes.