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 cloud inspires awe and fear in equal parts these days. There is a need to learn more, but there’s much information to learn and it may be difficult to know what to learn next. In this session, we’ll carve off a small corner of the cloud and make it your own. Setting up a Data Science Virtual Machine on Digital Ocean will be demonstrated. It’s the fastest way to get a data science development environment setup for your own use. Many of the topics and ideas covered will apply to almost all other cloud offerings. What use cases Digital Ocean is good for, and what use cases you should look elsewhere for, will also be discussed.

Description: This session will cover lessons learned during the course of implementing PBR by the panelists. It will focus on areas that were difficult to interpret, unexpected issues and managing the process. It will focus on potential stumbling blocks from an implementation, pricing and product development standpoint. There will also be an overview of YRT treatment to date and an update on any emerging best practices.

Description: Many insurers preparing market consistent financial statements encounter the issue of developing volatility assumptions for equity options and guarantees that are longer than any observable market data. This presentation develops a generalization of the classical Black Scholes option pricing model that is consistent with the European CRO Forum's framework for valuing non-hedgeable risk. The presentation argues that, with reasonable parameter choices, the model fits observed volatility surfaces well enough that it can be used to estimate implied volatilities where no market data exists.

Description: Through much of the Baby Boomer generation's working lifetime, retirement planning focused on asset accumulation. Strategies like Dollar-Cost Averaging and Asset Diversification became well understood by nearly everyone in the retirement industry. As those assets move into the payout phase (post retirement), the appropriateness of those strategies becomes less clear. Presenters will aim to exhibit and explain how and why adding a Single Premium Immediate Annuity (SPIA) or Deferred Income Annuity (DIA) to a retirement portfolio can help to minimize a retiree's chance of outliving his or her income, and why sellers of annuities should focus more heavily on these product offerings. At the conclusion of the session, attendees will be able to - Identify the reasons why effective asset accumulation strategies may be ineffective in the decumulation phase of retirement - Evaluate the benefit of using at least a portion of accumulated retirement assets to purchase a fixed income stream that the annuitant is guaranteed not to outlive - Explain the benefits of a SPIA/DIA focus to other industry practitioners

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.