Description: Shared savings deals are all the rage these days. Significant numbers of payers and provider groups in many markets around the U.S. want to engage in shared savings contracts covering commercial, Medicare and Medicaid patients. The fundamental question underlying a value-based contract is, for whom is the value accruing? Ostensibly, value is accruing to the sponsor—whether employer or public payer—but should be accruing to the provider as well. Often design flaws in value-based arrangements and contracts and/or the inability to execute in a value-based paradigm diminish the savings that could have accrued, create inequities in value or drive unintended consequences. This presentation will provide attendees with insights into how to design a workable value-based payment initiative, how to educate both payer and provider participants, and how to oversee the initiative’s operations. Specific topics will include: • Attribution logic: prospective, retrospective and the details in between • Risk adjustment: why one model doesn’t fit all arrangements, and even if it does, how do you implement? • Data and reporting: matching business needs to the payer’s willingness to be transparent and provider capabilities • Quality improvement as a component of payment: actionable and tied to the attributed population or just “out there?”

Description: We will determine the role of risk function in evaluating operational risks associated with the implementation of LDTI and any system conversions. Are all models validated by the risk function before they are productionalized and results used by management to make business decisions? Does the risk function play a part in to assist finance, actuarial and investor relations in communicating changes and volatility resulting from LDTI? If not, should it? We will articulate the role that risk functions play in being part of large transformation from the start as a stakeholder/input provider to subsequently being an independent reviewer (i.e., second Line of defense).

Description: Since the issuance of IFRS 17 in 2017, the global insurance accounting standard, insurers across the globe have been making huge investment in assessing the impact and implementing the new standard. In late 2018, FASB issued ASU 2018-12 that revises key elements of the U.S. GAAP measurement models and disclosure requirements for long-duration contracts issued by insurers (also called FASB Targeted Improvements). Both standards are becoming effective 1/1/2021 (though IFRS 17 may potentially be deferred by a year). U.S. insurers that have international parents or subsidiaries, and report under a multi-GAAP environment will likely have to adopt both standards. By now most insurers should have nearly completed impact assessment for IFRS 17, designed road map for or have started the implementation journey. With the new U.S. GAAP requirements becoming effective concurrently, it is important to embark on the implementation journey with both standards in mind, and maximize the synergy to achieve cost-saving and design efficiency. This session will briefly introduce the two standards with a conceptual comparison, along with a discussion on where efficiency and synergy can be achieved in a concurrent implementation.

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: 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: This session will look into life insurers’ anticipated business impacts as a result of the implementation of the new accounting standard for insurance contracts, IFRS 17. What will be the financial impact as of day one as a result of transition? How will embedded value for common life insurance products change? How will costs of reinsurance be affected? Will products have to be re-designed and/or re-priced? IFRS 17 may have more ramifications into the way insurers are doing business than we have anticipated so far. While we are working on the implementation of this new standard, we should not lose sight of the business impacts that will follow. At the conclusion of the session, attendees will be able to: Understand key impacts of the transition to IFRS 17; See illustrative examples of the impact on embedded value; and Understand key impacts on product design and pricing Country Relevance: US and Canada

Description: The speaker will discuss the training of neural networks to compute future Greeks of liabilities (or options) without the use of nested stochastics.

Description: Retirees will face the societal issue of inadequate savings with likely insufficient time to rectify the situation. They need immediate growth, but also the disciplines of risk management. They typically do not know how to engage with these two aspects in a harmonious manner on their own. Insurance companies are in the business of providing the solution but regulators have been clamping down in favor of simpler and more transparent products. In addition, the market reality over the last decade has been that insurers have stock betas at a multiple to the general markets with PE ratios well below. A panel of senior professionals from writers of retirement product business will present their vision of how the insurance industry can address the above dilemma, including the risks underlying the writing of the business, impact of financial markets, and regulations in the development of the business.

Description: Risk management techniques such as stress testing and setting capital targets are fairly well established for life insurers; however, the implementation of these techniques can vary considerably. A fundamental question is how to manage multiple valuation perspectives, and the list of possibilities keeps growing. Companies can potentially consider some or all of the following: U.S. reporting measures (Stat, GAAP), internal measures (EV, VNB, economic capital), international reporting measures (IFRS), rating agency models or other developing standards (ICS, NAIC group capital). This session will begin with a quick overview of the defining characteristics of different valuation frameworks. We will then provide more focused and practical considerations for managing risk and capital under different frameworks, using specific examples to highlight key trade offs.

Description: Tomorrow’s risk landscape is shaped by macro trends and their interconnections, and those new, changing but not-yet envisioned risks will shape tomorrow's insurance needs. Karen would like to share Swiss Re's insights on new emerging risk themes and trends, climate change and its effects on the L&H business. Hopefully the session can provoke new ideas and enable us to build resilience together.