Description: This survey tracks the relative rankings of risk managers about emerging risks across time. It is the 18th survey of emerging risks sponsored by the Casualty Actuarial Society (CAS), Society of Actuaries (SOA) and Canadian Institute of Actuaries (CIA), administered by the Joint Risk Management Section.

Description: The most recent U.S. population data released by the Centers for Disease Control and Prevention (CDC) and from the U.S. Census at year-end 2021 includes the first ten months of the COVID-19 pandemic in the U.S. While we know the pandemic has had significant impacts on both the U.S. population and insured population mortality, we also see increased mortality due to many other non-COVID causes of death. Where are the biggest changes and what does this non-COVID excess mortality mean over the next few years? Take part as an expert panel hosts an interactive discussion to examine data from general population as well as from both individual life and group life experience studies to explore how these changes might spur innovation in underwriting, assumption setting and pricing.

Description: ClubVita Session Series Buyouts and indemnity swaps remove all the longevity risk from an underlying population. However, they can be difficult to unwind and are not very flexible or widely tradable. Explore the characteristics and product structures of indexed based longevity swaps, demonstrating how they can cover any term, how they hedge the key component of trend risk and how, with new technology developments, they could lead to a liquid market.

Description: ClubVita Session Series Longevity trend risk still exists even for the largest portfolios. Explore the differences in longevity improvements between different populations, how to categorize subpopulations with different trend risk characteristics, and how to use this categorization to reduce longevity trend basis risk.

Description: Analyze the market volatility behavior in context with historical extreme events during this webcast. There will be a focus on understanding volatility clustering and relationships, both contemporary and temporal, in addition to key economic and capital market variables. You'll also learn from a comprehensive attribution analysis, which uses economic data, asset data, retail investor data and event data as explanatory variables. Dive into investment-related Reddit comments used to capture features of retail investors and tree-based models, including Random Forests and Gradient Boosting Machines to justify changes in volatility modeling. Expect this webcast to end with an example of liability-driven investment optimization that illustrates the potential impact of increased volatility assumption, how to adopt stochastic volatility models, how to reflect volatility clustering and return jumps.

Description: This report looks at identifying drivers of systemic risk in China’s insurance industry and develops a measurement method for systemic risk as well as systemic risk dependence between the insurance industry and other industries.

Description: Scenario generators used in financial models to quantify risk are sometimes described as being as either “real-world” or “risk-neutral”. The difference is in the treatment of the market price of risk. This report explores the relationship between real-world and risk-neutral scenarios and when it is appropriate to use each type.

Description: Most of our standard risk management processes are designed to work well within a shifting environment that stays fundamentally the same over time. We are likely to experience something drastically different starting soon - a major regime change. This webinar addresses how we might react to such turbulent times both to survive current issues and prepare to thrive in a new future. Participants will learn how scenario planning can be used to help envision a way forward. A case study will look at the ways that this regime change might affect our cities, how that could affect insurers and how both cities and insurers can approach the transition period as well as plotting a course for the future regime.

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: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.