Description: The article discusses the critical role of Financial Planning and Analysis (FP&A) within insurance companies, particularly amidst changes in accounting regimes like USGAAP Long-Duration Targeted Improvements (LDTI) and International Financial Reporting Standard (IFRS) 17 and implications of these changes on FP&A activities.

Description: With IFRS 17 effective this year, come learn about the performance management capabilities provided by IFRS 17 with traditional analysis under IFRS4, and with LDTI under USGAAP. You will begin with an introduction to the IFRS 17 landscape post implementation, followed by a comparison of profit measurement and earning analysis key performance indicators (KPIs) pre- and post-IFRS 17, and ends with an exploration of the common philosophy of earning recognition between LDTI and IFRS 17 beyond the calculation differences.

Description: The Society of Actuaries will host two great events for the valuation actuarial community. Get empowered for success with in-depth content on the latest valuation and financial reporting concepts, including US GAAP, US Tax Account, and International Reporting Standards (IFRS).

Description: Review the syllabus for the Fall 2024 Life Financial Management (ILALFMC) Exam – Canada.

Description: 2024, Volume 25. Number 1 issue of The Retirement Forum

Description: Review the passing candidate list by number for SOA’s March 2024 administration of exam P.

Description: Welcome to the May edition of The Financial Reporter! In her “Chairperson's Corner”, Joy Zhang highlights the section's upcoming activities for the year and ways for everyone to get engaged.

Description: In this webcast, presenters discuss the results from a recent Mortality & Longevity Strategic Research Program study comparing U.S. general population mortality and life expectancy using different definitions of health status including those individuals without impairments.

Description: En el seminario hablaremos sobre los nuevos flujos de tarificación, y nos enfocaremos en la inclusión del análisis geográfico en el proceso de modelado para optimizar la extracción del riesgo en modelos de Machine Learning.