Description: Understanding Asian Capital Regimes

Description: Discuss how the reinsurance can be utilized to manage the risk profile of the company. Potentially we can use a case or two to demonstrate the usage of reinsurance.

Description: While European insurers are subject to Solvency II and some Asian insurers adopted IAIS ICS, Bermuda enhanced its BSCR capital framework on 3/31/2024 and Japan has customized IAIS ICS to create Economic Value-Based Solvency Ratio (“ESR”). ESR will replace the existing capital framework from 3/31/2026. The ESR implementation brings significant changes to life insurers in Japan as it did to European insurers at the time of the Solvency II implementation. This session will discuss the background of the ESR framework, under which Japanese life insurers will be subject to increased governance, supervision will be also enhanced, and provide key comparisons to IAIC ICS and BSCR. Panels will also discuss potential implications to business such as strategy, risk management, and reinsurance for the viewpoints of Japanese life insurer with US and/or Bermuda subsidiaries.

Description: We will discuss how climate change risk represents radical uncertainty and the challenges this presents in integrating climate risk analysis and traditional investment risk analysis. The session will then explain and illustrate why deterministic, narrative-based, scenarios form a suitable basis for analyzing the potential impact of climate change on investment portfolios and strategies. At the conclusion of this session, attendees will understand deterministic and stochastic approaches to integrating climate risk with economic scenarios and how these can be applied in investment management. Attendees will also understand the challenges in creating a realistic integration of climate and economic scenarios.

Description: Article discussing the use of enterprise risk management in the health care industry.

Description: Duration matching is a risk management strategy, commonly used in the insurance industry, where the duration (price sensitivity to a yield curve movement) of an asset portfolio is adjusted to be made equal to the duration of the liability. However, this approach has flaws. In this essay, I note some key failures of duration matching and offer a potential alternative.

Description: An update to the risk management readers on what the JRMS is planning to do over 2023 to serve its membership.

Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied by overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner. This rising tide of AI means that it is imperative for U.S.-based insurers to address these emerging risks within their model risk management (MRM) frameworks. Regulation also continues to evolve in this space: in Canada, the Office of the Superintendent of Financial Institutions (OSFI) revised Guideline E-23 to instill more detailed model risk management standards; in Bermuda, the Bermuda Monetary Authority (BMA) has published CP2 to add increased scrutiny on the data and models used by insurers. Insurers must react: MRM frameworks require prudent revisions to reflect these ever-changing landscapes of risk. Reassessing the core pillars of MRM frameworks-risk measurement, model development, validation, monitoring, and governance-is key to understanding the consequences of these evolving market changes on insurers' risk profile. Overall, the inclusion of these new tools into the world of insurance necessitates a thorough examination of insurers' MRM frameworks in order to align these new risks with core MRM principles. In this session we will: - Reflect on recent drivers of change and how they should be considered in the context of MRM - Explore best practices as it relates to MRM frameworks in the context of current global trends - Describe challenges, success stories, and lessons learned relating to recalibrating and embedding MRM frameworks

Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied with an overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner.

Description: Sponsored by the Society of Actuaries Research Expanding Boundaries Pool, this report examines an encompassing method to allocating economic capital in insurance conglomerates. Authored by Edward Furman, Yisub Kye, and Jianxi Su, the plan put forth unifies the centralized top-down and the detail-oriented bottom-up approaches