Description: Dive into an overview of potential customer value propositions, trends in consumer acceptance and adoption, solving the data portability issue, potential impacts of emerging partner ships with OEMs and more within the auto insurance industry during our latest webcast. Experience interactive dialogue that will allow another dimension of thinking as industry experts provide insights and expertise. Throughout this webcast, you can expect developments in the personal lines automotive telematics-based insurance landscape that will develop a further understanding of the present and future of this industry.

Description: This is the disclaimer for the Economic Scenario Generators tool available from the SOA / AAA on the SOA Website.

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.

Description: Observe how design thinking can be used to address emerging uncertainty in insurance. (Design thinking is a non-linear, iterative process teams use to understand users, challenge assumptions, redefine problems and create innovative solutions to prototype and test.) According to Fostering Innovation: A Guide for the Actuarial Profession, there is a need for more innovation in the actuarial profession. “A benefit of working in large, well-established organizations is that these workplaces have many problems to solve, but offer many resources, as well as a network of people for collaboration. However, it is interesting to note that the stability and predictability of cyclic work may also be seen as a negative by workplace employees, especially concerning creativity and innovation.

Description: Examine how investment portfolios have been changing over recent years with a panel of industry experts from the life insurance industry, and learn what lies ahead. This will be a highly practical session, with real-life case studies referenced as much as possible.

Description: This session aims to put everything together and explore progress on company’s ERM process to incorporate climate risks and enterprises’ attempt to provide sustainability information to audiences in need. We will discuss the latest development in international standard on sustainability disclosure. We will diagnose the challenges on implementation and effort to resolve them. We will compare the requirements and latest development across different jurisdictions and possible cross learning among them. To conclude, we will land on what opportunities present to the actuarial community! At the end of this session, participants will be able to: • Discover requirements on sustainability reporting standards across different jurisdictions • Appreciate the challenges and progress to integrate climate risks in company’s ERM approaches • Comprehend actuaries’ opportunities and responsibilities to contribute

Description: Join us for an insightful session on best practices in setting assumptions and margins for Life and Annuity Products. This session will explore traditional best practices outlined by the ASOPs as well as their application in the context of emerging trends and risks in 2024, such as predictive analytics and AI. The session will also cover evolving trends in assumption governance, as corporate ERM areas become increasingly involved in the assumption setting process. Learning objectives include refreshing and enhancing knowledge of existing ASOPs, as well as understanding strategies for emerging risks that the ASOPs do not yet cover.

Description: When it comes to climate-related risks, what does the future hold? Will we see a rise in global temperature of 3 degrees Celsius or more, or can we keep it to less than 1.5 degrees? Will we see ambitious climate policies instituted globally in the near future, or will the status quo prevail, leading to irreversible changes to the climate and more severe physical risks? As actuaries, we are accustomed to planning for an uncertain future, but assessing the long-term impact of climate change poses a unique challenge. There are several public institutions developing scenarios like those above and others, which can help actuaries understand and assess the risks posed by a changing climate. Through scenario analysis, organizations can consider a range of possible outcomes to inform decision-making. Scenario analysis can be qualitative or quantitative, and there is no uniform framework that is currently being used by organizations that are studying the impact of climate change on their business. At the end of this session, participants will be able to: - Describe future climate scenarios. - Describe how actuaries can use scenario analysis to assess the impact of climate change and climate policies. - Explain why actuaries might use scenario analysis to understand climate risk.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: We focus on those Strategic Risk Management (SRM) approaches which articulate challenges to strategic execution, prioritize risks to attaining objectives, drive key performance metrics, and improve the chance of success. By using these qualities as our guide, we drive SRM which resonates with the C-suite and creates risk management intelligence which drives success.