Description: The article investigates the reasons behind non-zero financial implications for fully reinsured businesses within the regulatory frameworks of US GAAP Long Duration Targeted Improvements (LDTI) and International Financial Reporting Standards (IFRS) 17. It helps companies grasp the nuances of these standards, thereby enhancing their risk management strategies, improving regulatory compliance and optimizing their decision-making processes.

Description: The introduction and effective application of US GAAP LDTI have increased the scrutiny of those reviewing the updated financial results. That is because LDTI has resulted in significant changes in actuarial reserving and deferred acquisition cost (DAC) models for long-duration contracts, including significant changes to data, assumptions and required disclosures. In light of the changes, greater reliance has been put on companies’ model risk management (MRM) teams and model validations to assess the conceptual soundness and accuracy of their companies’ actuarial models and to assess that the underlying data and process utilized are suitable and appropriate. This article covers a brief background on model validation, walk through a sample LDTI-focused model validation framework/test plan, then provide insights on common LDTI-related validation observations based on the authors' prior validation experience.

Description: Technology now supports customized non-level death benefits which help consumers optimize their coverage and cost. Creating individual policies and individually pricing them for a level premium quote is the start of personalizing and optimizing coverage and cost for consumers and pricing life insurance policies at the individual consumer level --- a revolution for actuaries.

Description: This article enumerates many important considerations for a managing general underwriter(MGU) desiring to contract with an insurance carrier to issue and service provider excess of loss policies covering catastrophic medical risks assumed by accountable care organizations (ACOs).

Description: The recent wave of innovation in GenAI has unlocked an entirely new category of AI applications. Whereas AI has traditionally focused on automation and predictions, LLM’s and Generative AI give us the opportunity to create AI applications that act as copilots. This emphasis on contelligence and empowering knowledge workers has already begun to change the way work is done. High expertise knowledge workers such as actuaries will be able to use this wave of AI Apps to make better decisions and dedicate more of their attention to the parts of the role that require domain expertise and judgement. Join Charles Morris, Microsoft’s Chief Data Scientist for Financial Services, as he talks about the latest advancements in this space and the opportunities it creates for expert knowledge workers. Charles Morris is the Chief Data Scientist for Financial Services at Microsoft. Charles has deep expertise in the financial services domain and works with many of the world’s leading asset managers, banks, insurance companies, and financial platforms to develop and execute their AI strategies.Currently, Charles is focused on applying Generative AI to financial services and advising many top financial institutions in building their own copilots and reimagining their businesses.Charles is a data scientist and machine learning engineer by profession and an expert in MLOps. Before joining Microsoft, Charles practiced data science, machine learning, and cloud engineering in the asset management industry. He has been a featured keynote speaker at several prestigious events and forums and is a highly sought after public speaker in the domain of AI and Innovation.

Description: Indexed universal life (IUL) continues to be the most popular universal life (UL) product with sales reaching $1B in Q4 2023, according to LIMRA. There is little long term experience for IUL and many companies value and model IUL just like UL, but there are material potential differences that need to be considered for valuation and projection purposes. Presenters will discuss key risks and differences between IUL and UL relating to policyholder behavior and how to value, project, monitor and manage those risks to avoid repeating misestimates of the past. Presenters will also discuss broader life assumption risks such as mortality and yearly renewable term (YRT) reinsurance risk. Attendees will learn about options on how to potentially address underperforming blocks of IUL and will obtain an improved perspective on the risks of IUL products and the differences versus UL and how to incorporate these differences into their valuation and projection exercises.

Description: The post COVID-19 period exhibited a fast-changing capital market with higher interest rates, uncertain monetary policies, and revaluation of asset classes. At the same time, regulators introduced changes to reward better risk management, such as the scenario-based approach for reserving under Bermuda regulatory framework. For life reinsurers, while new opportunities arising from these changes, challenges also exist to be able to adjust reinsurance portfolios and ALM strategies appropriately. A holistic modeling framework can assist companies better position themselves in front of these challenges and other potential future unknowns. In particular, a well-designed stochastic and dynamic modeling framework enables the quantifications of such probabilities and potential impacts.

Description: Understanding Asian Capital Regimes

Description: "The purpose of this presentation is to give an overview of the CP2 requirements for Bermuda statutory reserves and capital, which went into effect for 2024 reporting, along with a summary of the impact of these new requirements. Some of the CP2 changes include bringing the Bermuda Solvency Capital Requirement (BSCR) more in line with other capital reporting regimes, such as Solvency II. For example, lapse, expense, interest rate, and equity shocks are now required to compute the lapse, expense, interest rate, and equity shock components of required capital. The Bermuda Monetary Authority (BMA) also clarified in the CP2 paper that borrowing under any form is not permitted in the Scenario Based Approach to computing the Best Estimate Liability (BEL), and realistic transaction costs must be reflected. Proving model safety controls are in place is another key component of the CP2 paper, and reinsurers/insurers must prove their model governance is up to standard. These new requirements pose operational challenges for insurers and reinsurers reporting under the Bermuda framework, and have an impact on the economic balance sheet. The presenters include folks working with AXIS software from Moody's, who have been involved in enhancing the software to align with Bermuda reporting standards, and consultants from Valani who worked with many companies on setting up their Bermuda reporting processes. All presenters are very knowledgeable on Bermuda reporting, and have observed the impact of the CP2 requirements. The presenters want to share their knowledge with fellow actuaries at this industry meeting, and hopefully inspire insightful discussions."

Description: This session guides actuaries through the key steps of building a principles-based valuation model for a life product, starting with a brief overview of key requirements in LDTI and VM-20. The focus is on practical steps: defining product specs, sourcing in-force data, gathering actuarial assumptions and incorporating economic scenarios. We'll walk through a simple term life example, prioritizing Day 1 essentials such as accurate cash flow projections and basic reserve calculations. Attendees will learn where to find critical inputs (e.g., IT for data, pricing teams for specs), how to structure a model and pitfalls to avoid. Participants will gain foundational skills to construct LDTI and VM-20 models, confidence in prioritizing model build phases and a clear starting point for sourcing inputs.