Description: Where once an insurer's chief investment officer (CIO) reigned supreme over assets-aided and sometimes hindered by the involvement of a chief risk officer (CRO)-these days managing portfolio risk and return seems to be an altogether more complex affair. No less of this complexity has come from the expansion by insurers into illiquid assets in the last decade. Moving away from traditional assets has raised scrutiny of liquidity risk management, but how do insurers tackle this? In a world 'brimming with large and growing portfolio allocations to illiquid private assets,' liquidity management concerns are distinct from a typical CRO's portfolio or asset risk orientation. There's a need to look at all aspects of a fund's liquidity demands and sources, such as top-down asset allocation, bottom-up private market deal-making activities, and internal and external operations. A dedicated liquidity management function should also be able to identify both explicit and potential liquidity demands and sources and, in particular, stay in touch with market movements and the regulatory environment. It should identify, evaluate and keep at-the-ready possible external liquidity facilities-for example, the secondary market for private equity stakes, a collateralized portfolio liquidity line, a repurchase agreement or a futures program. A high-quality liquidity management team can also identify when a fund has too much liquidity, the cost of being overly cautious and how to put excess liquidity to work.

Description: Hear AM Best rating analysts discuss the rating process and the best capital adequacy ratio (BCAR), a quantitative foundation for AM Best’s assessment of carriers’ financial strength. The benchmarking of BCAR scores for various company types (national MCOs, BCBS plans, smaller regional plans) will be discussed. Look at how changes in investment and underwriting environment impacted the results over the past several years. Further, AM Best’s view of the quality of capital and various factors impacting the overall assessment of the balance sheet strength will be discussed.

Description: "Hear AM Best rating analysts discuss the rating process and the best capital adequacy ratio (BCAR), a quantitative foundation for AM Best’s assessment of carriers’ financial strength. The benchmarking of BCAR scores for various company types (national MCOs, BCBS plans, smaller regional plans) will be discussed. Look at how changes in investment and underwriting environment impacted the results over the past several years. Further, AM Best’s view of the quality of capital and various factors impacting the overall assessment of the balance sheet strength will be discussed. By attending this session, you will: Gain an understanding of AM Best’s building block approach to ratings and how the BCAR results fit into the process. Learn the differences between RBC and BCAR models. Learn how various factors—e.g. liquidity, financial flexibility, financial leverage, the org structure—impact the final AM Best assessment of health companies' capital."

Description: As our industry rapidly adopts more advanced technologies, today's actuaries have more data and greater analytical capabilities than ever before. Nevertheless, these advancements come with their own set of challenges.Come explore the tools and techniques to optimize your processes and avoid common pitfalls so that you can get the most out of your experience studies.

Description: There is value in a framework that allows a smooth transition from a qualitative assessment to a quantitative analysis as entities mature in their understanding of climate risk. In this webcast, a case study on climate change's impact on home prices, a topic the SOA published research on, will be discussed along with other perspectives. The goal of this webcast will be for attendees to takeaway knowledge and tools to begin to move toward quantitative assessments in their own fields of practice.

Description: Join us for the Pandemics & Paradigm Shifts: ERM in an Intensely Dynamic World panel discussion, where industry and regulatory perspectives will help provide insight into a number of topics. Expect interactive dialogue opportunities based on the conversation between the panelists and the audience. Key topics that will be conversed about, but the panel is not limited to, include a brief review of historical paradigm shifts and subsequent insurer failures, best practices and an outlook on the ultra-dynamic world of today and consideration of a company's enterprise risk management framework as it affects ratings and insurance department examinations.

Description: Over the last decade, reinsurance companies have built robust enterprise risk management (ERM)frameworks, but how equipped are they to evaluate the risks and rewards around InsurTechs? How well does the drive for 'test and learn' and agility fit within most reinsurance companies' current risk appetite and business acceptance processes? Discuss considerations when evaluating the suitability of current risk frameworks for innovation, including risk appetites, guidance, and monitoring/communication of risks. In addition, panel experts will offer insight into how actuaries and risk managers can be seen as a valued partner, not just a gatekeeper, in these venturesby providing constructive feedback and maintaining the right skills and expertise in these emerging technologies. By attending the session, you will: Be able to assess ERM frameworks, specifically a framework's ability to manage and monitor innovation as well as better support the strategic decision-making for InsurTech partnerships and ventures.

Description: Models are a staple of an insurance company's operations. However, models that are not appropriately governed may lead to underpriced products, under-funded reserves, unfairly treated customers, and potentially catastrophic operational, legal, and reputational risks. Model Risk Management (MRM), an essential component of an insurer's ERM function, needs to keep pace with the rapidly evolving model ecosystem to limit model risk and produce results that management can trust when employing company strategy. With the adoption of ASOP #56, emerging technologies, and regulatory changes such as PBR, LDTI and IFRS 17, it is increasingly important for MRM frameworks and processes to adapt, upgrade and evolve. Discuss insights on how to embed ASOP 56 into Model Risk Management (MRM) and assess the design, development, modifications, and validation of actuarial models, the advancement of analytics and technology that empower insurers for process optimization and automation, as well as the the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. Go over use cases on enhancing MRM in the context of ASOP 56, technology, and model governance. Explore how automation and optimization of the MRM process will allow companies to realize the strategic benefits of MRM, ensure successful adoption of regulation changes, and the pros and cons of emerging technology on MRM. By attending the session, you will be able to: - Describe how ASOP 56 can help improve MRM processes. - Describe the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. - Identify where and how to use technology to automate and optimize the MRM process. - Evaluate the impacts of emerging technology on MRM.

Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.