Core Viewpoint - CITIC Prudential Fund emphasizes a dual-driven approach combining fundamentals and quantitative analysis to achieve logical investment strategies Product Performance Overview - CITIC Prudential Zhongzheng 800 Nonferrous A (165520.OF) achieved a fund return of 92.97% for 2025, compared to a benchmark return of 91.47% [1] - CITIC Prudential Zhongzheng 500 A (165511.OF) reported a fund return of 29.27% for 2025, with a benchmark return of 28.8% [2] - CITIC Prudential HuShen 300 A (165515.OF) recorded a fund return of 20.48% for 2025, surpassing the benchmark return of 16.79% [2] - CITIC Prudential Zhongzheng 800 Pharmaceutical A (165519.OF) achieved a fund return of 14.59% for 2025, compared to a benchmark return of 10.86% [2] - CITIC Prudential Zhongzheng 800 Financial A (165521.OF) reported a fund return of 10.34% for 2025, with a benchmark return of 7.53% [3] Investment Strategy - The company employs a systematic quantitative research framework and a rigorous risk control mechanism to ensure the sustainability and execution of strategies [20] - The investment strategy is based on a combination of traditional factors (financials, valuations, analyst expectations) and advanced techniques like deep learning and natural language processing to analyze alternative data [15][16] - The company has accumulated over 300 factors covering various dimensions, continuously iterating and updating its factor system [21] Product Types - The fund offers a complete matrix of quantitative tools ranging from passive allocation to active enhancement, catering to diverse asset allocation and industry rotation needs [23] - Passive index products are designed to closely track indices with clear styles and low fees, serving as efficient tools for asset allocation [25] - Enhanced index products aim to achieve stable excess returns through multi-factor stock selection and portfolio optimization [27] - "Quantitative +" strategy products combine fixed income and multi-strategy allocations to create products with different risk-return characteristics [29] Team and Expertise - The quantitative investment team possesses a strong mathematical finance background and extensive practical experience, focusing on a systematic process that integrates research and investment [31] - The team emphasizes interdisciplinary collaboration to drive continuous innovation in modeling [37]

Core Insights - The AI Fund, CITIC Prudential Dividend Navigation Quantitative Stock A (021983), reported a profit of 263,500 yuan for Q4 2025, with a weighted average profit per fund share of 0.0391 yuan. The fund's net value growth rate for the reporting period was 2.24%, and the fund size reached 5.9149 million yuan by the end of Q4 2025 [3][14]. Fund Performance - As of January 21, the fund's unit net value was 1.034 yuan. Over the past year, the fund achieved a net value growth rate of 5.41%, ranking 12th out of 13 comparable funds [3][4]. - The fund's performance over the last three months showed a net value growth rate of -0.87%, and over the last six months, it was -0.89%, both ranking 12th out of 13 in its category [4]. Investment Strategy - The fund maintains a high stock position, focusing on investment opportunities related to dividend themes. It employs a quantitative stock selection model to strive for long-term returns that exceed the performance benchmark [3]. Risk Metrics - The fund's maximum drawdown since inception is 7.02%, with the largest quarterly drawdown occurring in Q3 2025 at 5.5% [9]. Portfolio Composition - The average stock position since inception is 89.85%, slightly above the category average of 89.51%. The fund reached its highest stock position of 90.91% at the end of Q1 2025 and its lowest of 89.38% at the end of 2025 [13]. - As of Q4 2025, the top ten holdings of the fund include China Shenhua, Hengyuan Coal Power, Jizhong Energy, and several major banks [17].