广发基金胡骏：以量化策略为引擎深耕A+H红利资产

Core Insights - The article emphasizes the importance of sustainable dividends and high-quality earnings in dividend investment strategies, particularly in the context of a low-interest-rate environment and market volatility [1][2][3] Group 1: Investment Strategy - The high dividend strategy focuses on selecting stocks with high dividends, low valuations, and strong earnings quality, while also considering future profitability and dividend plans [1][2] - The strategy is built around two dimensions: mature, low-valuation leading companies with stable cash flows and high dividend-paying "small but beautiful" companies with growth potential [2][3] - The average dividend yield of the top ten holdings in the fund managed by the company is reported at 6.08% as of the end of Q2 [2] Group 2: Quantitative Approach - The introduction of quantitative methods enhances the high dividend strategy, utilizing multi-factor models and machine learning for stock selection and risk optimization [4][5] - The company employs a "core + satellite" multi-strategy approach, where the core focuses on high dividends and low valuations, while the satellite includes various defensive strategies to diversify risk [5][6] - Machine learning, particularly neural network strategies, is increasingly integrated into quantitative strategies to improve stock selection metrics [5][6] Group 3: Team and Collaboration - The quantitative investment team has been focused on strategy development since 2011, combining expertise from mathematics, computer science, and financial engineering [6] - The team operates on a collaborative platform where data and strategies are shared, allowing for systematic analysis and optimization of investment strategies [6] - The integration of data-driven decision-making reduces subjective influences and enhances the efficiency of investment operations [6]