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 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: 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: 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: 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: Baseline and what-if/stressed projections of cash flows, financial statements and capital requirements are critical inputs to a range of business purposes, including forecasts, risk management, liquidity management, strategic decision making, etc. Forward looking projections have historically been inefficient and performed in silos making it difficult to scale the process as CFOs and CROs ask for more. In this session we discuss challenges of the forecast process and opportunities to meet desired future capabilities. We will also discuss “what-if” analysis and ways to support production of forward looking projections for “what-if” analysis in an efficient way.

Description: Certain valuation assumptions are difficult to set with a high degree of accuracy, whether because the underlying experience is in different economic or interest rate environments, in addition to other reasons. Examples include assumptions for long-term care insurance, annuity options, lapsation and premium persistency on ULSG. This session will share how the actuary can use predictive analytics to augment the assumption-setting process. Some of the benefits to the actuary (along with the company and the regulator) include more accurate assumptions with lower margins for adverse deviations. Of possible interest as well is that applications go beyond valuation and include acquisitions, reinsurance and pricing.

Description: Whether focused on mortality, longevity, health or disability risks, biometric uncertainty is the foundation of our work. With a long history of processes and methods for analyzing biometric considerations, we run the risk of becoming stagnant in our thinking about the subject. The presenters will explore how companies can stay ahead of the curve in an environment of ever-changing medical and biometric influencers. They'll dig into cause of death trends, the obesity epidemic, genetic testing, wearables, other wellness tools and more. The presenters will also address the impact of changing risk assessment methods through predictive underwriting. This session is for anyone interested in staying at the forefront of biometric risk.