Description: The purpose of this paper is not to present a revolutionary new concept, instead, it is to reexamine a familiar concept in the light of new market circumstances and, to consider the consequences to the life insurance industry if the concept were adopted.

Description: The InsurTech market in China is divided into three categories, including online sales of traditional products through internet channels, product upgrades driven by technology, or the creation of more targeted products, and the innovation of eco-system-oriented products, or insurance service by data analysis. The market is expected to reach 1.4 trillion RMB in total.As the digital revolution goes deeper, new technologies have infiltrated into all business models in insurance companies and have promoted the generation and development of the InsurTech market. Digital technologies have been widely used by traditional insurance companies to optimize the procedures and products of the current value chain, bringing a virtuous cycle between InsurTech and the online eco-system. As a result, these traditional insurance companies can expand their business from insurance only to personal finance and other extended services, building a comprehensive solution for the eco-system. Technology is the cornerstone for the business development and innovation of insurance.

Description: Managed strategies as underlying investments in VA/FIA products have seen spectacular growth since the financial crisis. The speakers of these sessions will share their views on the development of this market and what is expected to unfold over the next 12 months in regard to the next generation of products and fund-based strategies.

Description: This session will provide an overview of the evolution of equity-based guarantees (e.g. VA, FIA, etc.) over the last few years and discuss the current lay of the land as it relates to the regulatory, issues, capital markets (e.g. Department of Labor, Dodd-Frank) environment in which these products are offered.

Description: The October/November 2015 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: This is one of a series of SOA-sponsored papers on the subject of Evaluating the Results of Care Management Interventions. This paper addresses the theory of measurement design and provides a practical evaluation of the most common designs for the practitioner.

Description: Mr. Rallis will discuss trends in the market for risk transfer of defined benefit plans in the US. He will also address implications of increasing longevity.

Description: Learn about key actuarial and analytic tools and methodologies used by commercial health insurance to identify and quantify drivers of healthcare cost and utilization (including wasteful and low-value ones) and risks. Use case scenarios in which these tools and methodologies apply, such as underwriting, reinsurance, medical management for population health and chronic diseases, managed care contracting, insurance market reform, provider payment reform, etc., will also be covered. Experience from the U.S., China and other parts of the world will be shared.

Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy