南华基金黄志钢：量化模型不追热点 每日刷新“价值洼地”股票池

Core Insights - The rapid development of AI technology is significantly enhancing the power of quantitative investment, leading to increased market attention on public quantitative investment strategies [1] - Huang Zhigang, Assistant General Manager and Head of Quantitative Investment at Nanhua Fund, emphasizes the limitations of traditional multi-factor models in quantitative investment, which are primarily based on historical data and fail to address long-term market effectiveness [1][4] - Huang identifies three critical issues that an excellent quantitative investment model must solve: constructing investment safety margins, identifying value traps, and reasonably defining company prices [4][5] Group 1: Investment Strategy - Huang's quantitative investment framework is summarized as "value stock selection and dual rotation," focusing on core factors such as Dividend Payout Ratio (DR), Return on Equity (ROE), and Earnings Yield (EP) [2] - The first step in the quantitative model involves predicting each company's ROE and EP, followed by calculating the Potential Return (IR) and ranking stocks based on IR values to build an investment portfolio [2][4] - The model aims to find good companies at good prices, leveraging the objectivity, efficiency, and discipline of quantitative investment over subjective human judgment [2][4] Group 2: Stock Selection and Risk Management - Stocks selected through this method are not static; they are continuously adjusted based on changing factors, with a focus on building a stock pool from those that have declined significantly over the past 3 to 5 years [3] - Huang employs a dual approach to avoid value traps and select stocks with low price-to-earnings ratios, low price-to-book ratios, and high dividend yields to provide safety margins [5][7] - The investment goal is to balance between "good companies" and "good prices," seeking long-term performance advantages rather than focusing on short-term results [5] Group 3: Performance and Market Position - As of now, Huang manages four funds with a total scale exceeding 1 billion yuan, with notable performance metrics such as a net value growth rate of over 87% for Nanhua Fenghui Mixed A since inception [4] - Huang acknowledges the increasing competition in the quantitative investment space, which makes it more challenging to obtain alpha, necessitating continuous updates and factor exploration in quantitative models [4][7] - The domestic quantitative investment market is still developing compared to mature foreign markets, with public quantitative investment expected to gradually reveal its advantages in fundamental research [7]