Description: In the third quarter of 2022, publicly traded life insurers reported on their financial and operational activities, which included a downturn in income from alternative investments, the continuing impact of COVID, the impact of equity market returns on variable annuity products, and growth trends related to pension risk transfer transactions.

Description: Pandemic modeling and its impact on the insurance and reinsurance business have been the subject of scrutiny during the COVID-19 pandemic. As the World Health Organization (WHO) has declared its end as a global health emergency, the focus of insurers and reinsurers turns to the possibility of future pandemics. Key to considering possible future pandemics is assessing what is needed to model pandemic risks. Our presentation will focus on providing you with the following: - The main principles around creating a well-established pandemic risk modeling framework, what they are and how you should build them into your model (As a reinsurer, this is core to our business, and we have unique global insights into performing it.) - A review of pandemic risk modeling strategies as well as an understanding of the inherent uncertainties of pandemic events - Lessons learned from COVID-19 and how we can apply them in assessing the possibility of future pandemics - An understanding of the link between future pandemic risk and the capital requirements

Description: Dive into an integrative approach to Precision Medicine - how our modern capacity to interrogate a disease heterogeneity (from omics and phenotyping) and parallel advances in 'big data' together are driving to transform the practice of traditional medicine to precision medicine. After defining the relevant terminologies and the components of precision medicine, the speaker will walk through the spectrum in precision medicine and how it leads to personalized management of disease, which can impact underwriting approaches, product development and pricing. Diabetes will be used as a specific example.

Description: As we step out of a historical pandemic that put words like life expectancy and mortality rate on everyone's vocabulary, we suffer some measure of intellectual PTSD. This dark period magnifies our cognitive bias as we try to understand future mortality, a key variable both for life insurance and pension plans. Does our propensity to quantify and the attractiveness of new predictive modeling tools cloud our judgment? Check out a reflection framework and insights on scientific discoveries that will allow you to develop plausible scenarios that will enrich your thought process. The panelist will start by presenting what is new when we think about future mortality. We will then facilitate the generation of plausible scenarios by the audience and explain how we evaluate them. There will be no answers, but the relevance of your mortality questions will definitely improve.

Description: Dive into the recent updates to the Bermuda Market and how this may impact current and future market players. Learn more about the Bermuda reserving and capital requirements and how the recent Bermuda Consultation Paper may impact the industry.

Description: There are many underwriting issues being discussed in states that challenge how information is used in the underwriting process. Learn more about a variety of rules and regulations, especially Colorado’s proposed regulation requiring a governance and risk management framework for life insurance carriers’ use of external consumer data and information sources (ECDIS), and algorithms and predictive models using ECDIS. This Colorado proposal is more far-reaching than the requirements of other states like New York and Connecticut, who have put up guardrails for the use of new data sets and algorithms especially for underwriting. Listen in as experts discuss the potential issues and implications of this and other proposed regulations.

Description: In this session a panel of industry experts from the life insurance industry will examine the modeling challenges created by increased investment in more esoteric assets.

Description: Highlight the importance of assigning granular policyholder behavior assumptions to cohorts of a block that behave differently for universal life products. The case study assumption testing will focus on potential cash flow impacts of surrender, lapse and premium persistency behavior— individually and combined. The case study will be based on testing data related to typical demographics for a ULSG product and not on any specific company data.

Description: Highlight key trends in life and annuity pricing, including pricing assumptions and pricing methodology. Participate in a discussion that includes pricing targets, use of value of new business (VNB), mortality assumptions, use ALM models and pricing scenarios.

Description: Hear about the latest trends and insights as this panel discusses the happenings in the life insurance marketplace. Discover product, regulatory, underwriting, marketing, and other trends to help keep up to date on many of life's changing events.