Description: The Society of Actuaries are once again offering a seminar that investigates all aspects of life insurance, annuity and long term care product tax compliance. Developed by the Taxation Section, participants will be brought up-to-date on recent Internal Revenue Service (IRS) guidance and learn about the newest tax issues related to product design and administration. Legal, IRS and product development experts will provide vital insights into the challenges of developing and administering products within the requirements of the Internal Revenue Code (IRC), and allow ample opportunities for networking, questions and information exchange.September 12The optional “boot camp” will provide an intense introduction to the basics of product taxation. The boot camp will include sessions focused on life insurance, annuities, and long-term care combination products. The basis of the boot camp will be the authoritative textbooks, “Life Insurance and Modified Endowments Under IRC Sections 7702 and 7702A” and the “Annuities Answer Book.” Book authors will conduct these optional programs. September 13–14The general sessions will feature product, tax, legal and compliance experts as well as Internal Revenue Service (IRS) representatives. Recent changes in the qualification requirements of insurance products and a host of product tax issues beyond Internal Revenue Code (IRC) section 7702 and 7702A will be emphasized.

Description: Presenters will address optimal new business written premium mix at the firm and state levels under varying competitive conditions. They will explore the use of mean-variance optimization to determine a company's optimal new business written premium mix for a given geographical area, predicting statewide product mixes using varying rate regulation scenarios, involving profit caps and measuring/testing a market's competitiveness for a given line of business. The scope of the ideas to be presented is international, applying to property, liability, individual and group life; individual and group health; disability and accidental insurance. Examples will be presented for general insurance in the United States

Description: The presenters will explore the long-term care insurance product and its impact on potential transactions. Discuss why the inherent risks of this product create challenges for buyers and sellers in this market.

Description: With the rapid development of the Insurance market, insurance technology—including online insurance--continues to mature. Zhongan Online invests heavily in fintechand Zhongan Answer, an insurance robo-advisor, launched in 2018, could improve transaction efficiency by using artificial intelligence to communicate in a timely manner and solve the pain point of the perplexed insurance clause. Under a different consumption scenario, Zhongan Answer could reply to users in a timely manner, while also implementing private customized products and services by providing users with personal risk management and insurance assessment solutions so that users could easily and conveniently select the most suitable insurance plan. The intelligent shopping guide system of Zhongan Answer could improve transaction efficiency by analyzing the personal insurance intention and providing the humanized interpretation of insurance clause. Zhongan Answer has served millions of users and supported more than 100,000 insurance-related knowledge points with an accuracy rate over 90%. Zhongan Answer has provided more than four million Q&A services, and its intelligent shopping guide system covers more than 90% of insurance products.

Description: This session will explore the various methods of determining the credibility levels that are given to various size employer groups and Medicare plans. The background and theory of the methods that have commonly been used will be explained and then some new data-driven research in the area and possible alternatives will be discussed.

Description: The presenters explain the current state of model risk management in the insurance industry and shares insight on some of the best practices and common themed challenges. They also explore where model risk management is headed going forward and what a more optimal framework would look like.

Description: Starting with a review of recent VA and FIA industry policyholder behavior experience, this session will explore several critical elements in developing a sustainable and coherent framework to translate this complex experience data to assumption models, particularly for guarantee features such as GLWBs. The discussion will include the use of industry- and company-level data in building customized predictive models, and integrating models across behaviors such as income utilization and surrenders.

Description: Reinsurance has been available for VA Guarantees for over 20 years. During that time, the reinsurance market for VA Guarantees has undergone frequent and sometimes violent transformations. Where does the market stand today? What forms and structures of reinsurance are available? Which VA Guarantee designs and features are easier to reinsure? Is reinsurance offered on both newly issued policies as well as in force/legacy books, and which vintages are difficult to reinsure? In an age of sophisticated hedging programs, what role does a reinsurer play in helping a VA writer manage this highly volatile risk? In this session, we will hear from a reinsurer that is actively writing new VA Guarantee reinsurance treaties in the U.S. and around the world, and from a VA writer that has successfully partnered with a reinsurer to enhance its VA product offering.

Description: This 2005 presentation from the 40th Actuarial Research Conference is about equilibrium pricing models and valuations related to hybrid pension plans.

Description: These are the slides that go with the paper 'Mortality Modeling using Projection Pursuit Regression.' In that paper, the authors develop sixteen separate mortality models based on the current SOA mortality data being used for the preferred life study. The models are constructed using projection pursuit regression. The sixteen models arise from all combinations of sex, smoker status, select and ultimate status, and per life vs. per dollar mortality rates. In general the models confirm the following four facts: 1 Mortality rates increase as attained age increases. 2 Mortality rates increase as duration increases. 3 Mortality rates decrease as Face Amount Bands increase. 4. Mortality rates decrease if preferred underwriting is present.