Description: The academy generator is widely applied in actuarial practice. Initially confined to regulatory reserving, companies are increasingly using the AAA/SOA generator over an ever widening range of applications testing the limits of the academy generator's intended function. The session will give a brief overview of the academy generator and the asset classes it can be used to model. It will also analyze the statistical properties of the academy scenarios and discuss the scenarios relative to standard validation criterion. Some of the challenges that actuaries face in using this framework will be reviewed and options for addressing these challenges will be offered.

Description: The presenters describe the process payers and employers can use to evaluate emerging medical device technologies, recent or pending FDA submissions for prescription drugs and experimental treatments that impact patient care, resource utilization and health care expenditures. Learn the process of identifying and selecting impactful treatments (Horizon Scanning) and quantifying the financial cost of new technologies before they arrive in the market. These workflows can be leveraged by actuaries, healthcare economists, clinicians and pharmacists from a payer (Commercial and Medicare) and employer perspective for self-funded plans. Walk through sample models that illustrate how costs for emerging technologies and treatments can be modeled.

Description: While intended to assist health plan actuaries responsible for stress testing and ORSA filings, this session will also be informative for actuaries interested in communicating the impact of potential catastrophic events for health plans to their management and board. It will begin with a discussion of event thresholds for stress tests and their impact on capital and financial statements. Presenters will take a detailed look at several catastrophic event case studies (historical and hypothetical) in the following areas: healthcare specific (e.g. pandemic, specialty Rx), financial institution/credit market, operational/business, strategic and multi-event scenarios.</

Description: Forming a view on what the tail looks like for various risk factors involves both technical know-how and considerable judgment. The presenters focus on what needs to be addressed when setting financial market risk and insurance risk assumptions, in particular when assessing the question of diversification and the treatment of tail dependencies between risks and lines of business:

Description: The investment grade corporate bond market continues to expand in size and is now nearing record levels. The Bloomberg Barclay’s U.S. Corporate Bond Index, representative of the U.S. corporate bond market, now measures over $5 trillion, nearing its all-time high compared to its $2 trillion mark in 2008. The BBB-rated segment of the index has experienced significant growth, and now represents more than 50% of the corporate bond market. Corporate bond market risk has increased beyond what the ratings indicate. Today's investing landscape of relatively low yields, higher corporate leverage and a later-stage credit cycle presents challenges for both insurance and pension portfolios where corporate bonds are a core investment. <br> <br>With representation from a U.S. portfolio manager, Canadian portfolio manager and an investment consultant, attendees will get a full perspective of the North American environment and how to apply this information when making client recommendations.

Description: The presenters will discuss the current interest rate market environment and what insurance companies can do to best protect themselves from interest rate risk. The presenters, industry leaders in financial risk management, will explore how different products and strategies—including swaps, options, and other derivatives—are being used in today’s market. The discussion will include how to model and measure interest rate risk, how to quantify hedge effectiveness, and how to improve hedging operations.

Description: Apart from their operating environment and the core risks they help others mitigate, organizations are largely impacted by behaviors--particularly those of their policyholders. This session builds on the first session in this series by considering how medical advances might influence policyholders, while also considering how agents/brokers, product design, and the economy can also be influencers. Weigh whether and to what extent behavioral uncertainties have been adequately integrated into the firms' assessments of business performance, both past and future. The presenters will also highlight activities being undertaken by firms to influence behaviors, in part building on the second session in this series by considering these activities through a regulatory lens. This session is for anyone interested in enhancing their understanding of uncertainty due to behavioral factors.

Description: Model Risk Management continues to be an evolving area for insurers to be considering. This has grown from both internal and external forces and may require a different format to previous model risk frameworks held by insurers. Furthermore, there are a number of trends emerging that we believe will drive an increased focus on insurer’s model risk management frameworks such as technology automation, ever increasing data sources, and the use of predictive models. Risk management and the development of models is an area where insurance companies have performed well in the past. It is expected that frameworks currently exist within companies; the governance, documentation, validation and control of model risk are likely to be well established practices. The challenge that insurers must consider is how well these have been adopted throughout the company for all models used to make business decisions and if the same level of rigor has consistently been applied. Regulation in a high-velocity actuarial environment will to be a challenge that actuaries must spearhead and must be proactive in guiding rule making to ensure continued innovation while putting data security and risk management first.

Description: IFRS 17 is causing insurers to rethink their investment management and ALM strategy. The presenters examine issues arising under IFRS 17 and IFRS 9 and the resulting challenges facing insurers, including the volatility and impact on financial statements. Solutions will be proposed including a discussion on how to deal with the disconnect between economic and accounting results. A case study will present the tradeoffs insurers must consider to optimize their portfolio under IFRS 17.

Description: The management of the investments of an insurance enterprise has undergone a considerable evolution since the pioneering work of Redington in the mid 20th century. Best practices have evolved to incorporate ever more complex insurance liabilities, expanding investment asset classes and global market opportunities. Strategic asset allocation (SAA), liability driven investing, and other robust optimization approaches form the core of the professional management of insurance company investments.