Description: Dynamic Financial Condition Analysis Update by James F. Reiskytl from The Financial Reporter, October 1999, Issue No. 40.

Description: Blazing the Path for a Unified Valuation System by David K. Sandberg from The Financial Reporter, June 2000, Issue No. 42.

Description: This article discusses facts and issues related to the selection of a stock’s price distribution.

Description: The session will focus on International Financial Reporting Standards 17 (IFRS17) implementation, including methodologies (classifications, different measurement models, fulfillment cash flows, and contract service margins) for various U.S. products, operational challenges, controls, IFRS17/GAAP comparisons and analytics.

Description: With higher interest rates and aging populations, the Bermuda offshore reinsurance market has been heating up, particularly to firms backed by asset management firms and private equity. Increased competition along with changing regulatory requirements, and evolving expectations around model governance have actuaries facing heavier production and results explanation workloads. This creates additional challenges on top of an already complex Bermuda reporting regime, particularly with the Scenarios-Based Approach (SBA) and Bermuda Solvency Capital Requirement (BSCR).

Description: Suited for students, newly minted ASAs/FSAs, or those venturing into the realm of reserving, as well as seasoned actuaries in need of a recap, this session is a gateway to the mysteries of IBNR reserving, unraveling various methods and assumptions. Embark on a journey through the construction of claims triangles and the crafting of completion factors, delving into the enigmatic realms of seasonality, trend analysis, and outlier claims. Harness the principles unveiled to dissect a myriad of case studies spanning diverse products like major medical inpatient, outpatient, pharmacy, Medicare Supplement, dental, and critical illness. This session is your guide through the intricate world of reserving!

Description: Generally accepted accounting practices (GAAP) reporting frameworks are more involved than ever before. From disclosures, to assumption changes, to interest rate movements, uncovering the drivers of income emergence can prove hard to do, and even trickier to communicate. This session will revisit how the updated standards create layers of complexity and offer ways to side step these obstacles to generate useful earnings analysis by various drivers.

Description: This session will explore governance considerations for insurance carriers leveraging machine learning models. During the session, panelists will share insights on the evolving predictive model and AI regulatory landscape, as well as techniques for developing or enhancing AI governance frameworks that comply with emerging regulatory guidance.

Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.

Description: Emerging Applications of ESG Methods offers ground-up insights on cutting edge applications of economic scenario generation. The course will focus on the incorporation of climate change risk in scenario modeling and investment applications of ESGs. The following topics will be covered: Approaches to climate risk modeling. Climate risk is very different than classical financial economic risk. Radical uncertainty is amenable to scenario analysis and lack of data. Building special deterministic scenarios that go beyond NGFS requirements as well as bespoke scenarios. Holistic Approach to Climate Risk Modeling. Overview of different Climate Risk Modeling Applications. Use of ESG scenarios for Strategic Asset Allocation (SAA). Liquidity risk management.