Core Insights - The China Actuarial Association released the "China Life Insurance Experience Table (2025)" during the Financial Street Forum, aimed at reflecting the trends and characteristics of mortality risk in the insurance industry [1] Group 1: Industry Developments - The release of the experience life table is part of the efforts to implement the State Council's opinions on enhancing regulation and preventing risks while promoting high-quality development in the insurance sector [1] - The experience life table serves as a crucial tool for pricing insurance products, evaluating reserves, and managing risks within the industry [1] Group 2: Regulatory Context - The development of the life table was conducted under the guidance of the Financial Regulatory Administration, indicating a collaborative effort between the actuarial community and regulatory bodies [1]

Core Insights - The China Actuarial Association has released the "China Life Insurance Industry Experience Life Table (2025)", marking significant advancements in data collection and analysis for the life insurance sector [1][2][3] Group 1: Highlights of the Life Table Compilation - The life table compilation achieved full industry coverage for the first time, incorporating data from all life insurance companies for policies with a term of one year or more, including death or survival benefits [1] - Data processing efficiency improved, with a 40% reduction in data collection, cleaning, verification, and correction time compared to the previous life table, and the use of AI and machine learning reduced manual claims entry to 5% of the total [1] - The compilation addressed missing death status in policies by employing various methods, ensuring a reasonable death rate and maximizing the use of collected data [1] Group 2: Methodological Innovations - For the first time, trend factors were set based on the insurance industry's historical mortality data rather than population data, providing valuable insights for understanding mortality trends in the insurance sector [2] - A new two-step method for high-age extrapolation was introduced, ensuring that mortality rates for older age groups reflect natural life patterns while considering risk characteristics [2] - A multi-dimensional analysis of mortality rates was conducted, examining factors such as age, gender, distribution channels, coverage amount, and geographic location, allowing for a comprehensive comparison with previous life tables and population mortality rates [2] Group 3: Future Initiatives - The China Actuarial Association plans to conduct promotional training and showcase the project results to the industry and the public, along with the publication of reports to assist in addressing population aging [3]

Core Insights - The China Actuarial Association released the "Experience Life Table for the Chinese Life Insurance Industry (2025)" to reflect changes in mortality rates and improve risk management in the life insurance sector [1][2] Group 1: Background and Necessity - The previous life table, published in December 2016, was based on data from 2010-2013 and was effective in promoting scientific pricing and enhancing risk prevention in the life insurance industry [1] - Changes in life expectancy and mortality rates necessitated the development of a new life table to accurately reflect current risks and improve service levels in the insurance industry [1] Group 2: Key Achievements of the New Life Table - A new experience life table has been created that reflects the latest mortality experience of the insured population, providing a scientific reference for pricing life insurance products and preventing systemic risks [2] - The first single life table has been compiled, using the insured's identification number instead of the policy number, allowing for cross-company and cross-insurance type analysis of mortality rates [2] - The project will produce a comprehensive report and educational materials on population aging, offering multi-dimensional insights into the life table's findings for various audiences [2]