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

Description: Insurance is a technically demanding, risk-based, capital intensive business. It is therefore not surprising that the industry is fertile ground for the development of technical models used to measure and price risk and manage capital. This session presents the forces which have significantly influenced the evolution of risk and capital management techniques and organization in the insurance industry, including regulatory changes, financial market instability, enlightened self-interest and ultimately a focus on shareholder value creation. Combining over 20 years in the industry in risk and finance roles with a rigorous academic approach, the presenter will provide insights into the most important business questions which insurers face today and the technical tools and frameworks used to answer them.

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: This article discussed modeling the P&C reinsurance market using an Agent Based Model to provide insights into the market. The characteristics of this marketplace provide credibility to this type of modeling. Specifically, the P&C reinsurance market has few major players, very little product differentiation, and low barriers to entry. In addition established competitors are volume-constrained due to prior business and capacity decisions made based on estimated product costs and prices.

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

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 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: Risk adjustment is needed under IFRS 17 to reflect the compensation that a company requires for bearing the uncertainty about the amount and timing of the cash flows that arises from non-financial risk. Companies are also required to disclose the method and confidence level used for the calculation of the RA. However, IFRS 17 doesn’t specify a method and a confidence level, nor does it provide a list of specific risks that are considered to be non-financial risk. Companies need to define them based on their own preferences or existing practices. This article will introduce available approaches and discuss the confidence level approach with potential consideration stemming from industry preferences and illustrative examples.