Description: As a consequence of increased merger and acquisition activity in the insurance market in recent months, understanding the methodology behind goodwill calculations is becoming more relevant. Actuaries play an integral role in the calculation and validation of goodwill values. By understanding the principals and concepts in more detail, we can ensure that an optimal approach can be achieved both in terms of accuracy and value to the business. Gaininsight into the various components of goodwill, including an overview of the actuarial appraisal method that establishes how to calculate those components. Drill down to core intangibles, including VOBA, VODA and VOCRA. Explore the best practices for calculation of these components and obtain an understanding of the assumptions, methodology, and challenges that are being presented while deriving values of goodwill. Identify the key choices which can be made and how they impact the value both initially and over time. By attending the session, you will: - Describe the components of goodwill. - Calculate the components of goodwill. - Understand the challenges of calculating goodwill. - Understand what decisions are available within the methodology and their impact.

Description: What is a vitagion? Is there such thing as catastrophic longevity? What does a 1 in 200 year mortality loss event look like? How might actuaries use mortality scenarios in their practice? Explore how to move beyond simplistic stress testing with singular percentage shocks to building a robust set of information, derived from stochastically generated scenarios for longevity and excess mortality outcomes. This data can inform assumption setting, longevity swaps, capital levels, and risk management. These concepts apply to life insurers, pension actuaries, and reinsurers. By attending the session, you will: - Understand what is a loss exceedance curve is and how it may be useful to quantify tail risks. - Comprehend how to incorporate stochastic variability into longevity and excess mortality assumptions. - Find out what elements go into a stochastic prediction of extreme mortality events using nested models. - Learn how to add more depth to youractuarial assumptions.

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: 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: 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: 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: There is increasing industry interest in applying behavioral science to optimize product design decisions and improve outcomes for both insurers and their customers. With a growing set of options within product designs, predicting consumer behavior continues to get increasingly complex. Join this webcast for an overview of key behavioral economic concepts. Key insights will be shared from two SOA projects that explore how behavioral economic techniques can be used in various parts of the life insurance new business process and inforce management.

Description: The purpose of this survey is to gather a high-level view of U.S. Group Term Life Insurance mortality results during the COVID-19 pandemic, as compared to prior period baseline mortality results. The datasets for this report encompass all Group Term Life claims reported to participating carriers as of August 31, 2020. The Committee is grateful that 20 of the top 21 U.S. Group Term Life insurers are participating in this survey, with market share representing roughly 90% of the industry.

Description: This document describes an effort to measure the deaths in the US population relative to pre-pandemic expectations. The actual deaths used are as reported by the US Center for Disease Control (CDC) and we consider several different methods for setting the expectations, adjusting for the estimated mix by age, sex, and time of the year (seasonality).

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.