Description: In this session, we will explore investment solutions that aim to maintain the long-term viability of a pension plan, with considerations on hedging interest rates, credit, inflation, longevity and other risks, while accounting for the many particularities associated with underlying liabilities and their corresponding ramifications.

Description: With advancement of computing technology and innovative product design, creating dependent and nested stochastic scenarios to accurately predict insurance business has become more feasible and affordable than it used to be. However, can technology and research be accessible, applicable and beneficial to all the stakeholders? Sharing research findings and its validation tools has been our interest and focus, and even a resource-saving strategy. The presenters will share a case study on a segregated fund with hedging strategy. We investigate the reserve calculation for its GMMB in an extensive but simplified stochastic model so that our method is adoptable, applicable and extendable to real-word segregated fund/separate account model. The segregated fund model theory and implementation will be presented and its cash flows will be simulated and analyzed for reserve calculation. Varying parameter assumptions will be tested and to be modified for real-world segregated fund with hedging risk for guaranteed benefits. At the conclusion of the session, attendees will gain basic understanding of and access to: - The option pricing model and its application to the segregated fund (variable annuity's separate account) guarantee - Stochastic scenario generators for the interest rates and equity returns - R-code to program from the scenarios simulations to cash flows of hedging errors - Reserve calculations and its sensitivity to various parameter values and - Comparison of methods to increasing efficiency level and the accuracy

Description: Modeling methods and assumptions can be simple, complex, or somewhere between. This session will explore considerations and tradeoffs when determining approaches to different apsects of asset modeling in the context of ALM projection. Examples of advanced ALM applications to be discussed include credit risk modeling and duration/convexity management in ALM investment strategies.

Description: This session is targeted for new ASAs/FSAs or actuaries who are new to reserving. The session will be delivered in two parts. The first part is intended to deliver a basic understanding of IBNR reserving and different reserving methods and assumptions. We will go through examples of constructing claims triangles and developing completion factors, while exploring concepts such as seasonality, trend and outlier claims. During the second part of the session, we will apply the material from the first part to look at various example from different products such as inpatient, outpatient, RX, Medicare Supplement, dental, critical illness, etc.

Description: What is the future of the Actuarial Profession and the Insurance Industry? Is it possible that the Actuarial Profession will become more empowered by adopting emerging technologies?