【导读】昨日股票ETF资金净流出超44亿元 7月28日，股票ETF（含跨境ETF）整体资金净流出达44.17亿元，最新规模达3.81万亿元。 7月28日，易方达旗下香港证券ETF净流入8.7亿元，科创板50ETF净流入2.4亿元，人工智能ETF净流入1.6亿元，恒生红利低波ETF净流入1.1亿元，机器人 ETF净流入0.6亿元。 华夏基金旗下科创50ETF和恒生科技指数ETF单日净流入居前，分别净流入8.83亿元和3.43亿元，最新规模分别达916.7亿元和317.61亿元，对应跟踪指数 近一月日均成交额分别为33.12亿元和41.5亿元。 7月28日，三大指数集体收涨，电子元件、军工概念等轮番演绎。股票ETF（含跨境ETF）整体资金净流出超44亿元。其中，香港证券ETF、港股通互联网 ETF、港股通非银ETF等港股相关ETF产品成为"吸金"主力；中证1000ETF、上证50ETF、沪深300ETF、中证500ETF等宽基ETF成为"失血"大户。 港股相关ETF产品成为"吸金"主力 昨日股票ETF资金净流出超44亿元 7月28日，三大指数均上涨，截至收盘，沪指涨0.12%，深证成指涨0.44%；创业板指涨0. ...

Quantitative Models and Construction Methods - **Model Name**: Hong Kong Stock Selection Portfolio Strategy **Model Construction Idea**: The strategy is based on a dual-layer selection process that combines fundamental and technical analysis to identify outperforming stocks from an analyst-recommended stock pool[14][15] **Model Construction Process**: 1. **Analyst Recommendation Pool**: Constructed using three types of analyst recommendation events: upward earnings revisions, first-time coverage, and research reports with unexpected positive titles[15] 2. **Fundamental and Technical Screening**: Stocks in the recommendation pool are further filtered based on fundamental support and technical resonance to identify stocks with both strong fundamentals and positive technical trends[15] 3. **Backtesting**: The backtesting period spans from January 1, 2010, to June 30, 2025, assuming a fully invested portfolio with transaction costs considered[15] **Model Evaluation**: The strategy demonstrates strong performance with significant excess returns over the Hang Seng Index[15] - **Model Name**: Stable New High Stock Screening **Model Construction Idea**: This model leverages momentum and trend-following strategies, focusing on stocks that have recently reached 250-day highs and exhibit stable price paths[20][22] **Model Construction Process**: 1. **250-Day High Distance Calculation**: $ 250\text{-day high distance} = 1 - \frac{\text{Close}_{\text{latest}}}{\text{ts\_max(Close, 250)}} $ Where $\text{Close}_{\text{latest}}$ is the latest closing price, and $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[22] 2. **Screening Criteria**: - Stocks must have reached a 250-day high in the past 20 trading days - Analyst coverage: At least five "Buy" or "Overweight" ratings in the past six months - Relative strength: Top 20% in 250-day returns among all Hong Kong stocks - Stability: Evaluated using metrics such as price path smoothness and the time-series average of the 250-day high distance over the past 120 days[22][23] 3. **Final Selection**: The top 50 stocks based on stability and trend continuation metrics are selected[23] **Model Evaluation**: The model effectively identifies stocks with strong momentum and stable price trends, aligning with the principles of momentum investing[20][22] Model Backtesting Results - **Hong Kong Stock Selection Portfolio Strategy**: - Annualized Return: 19.11% - Excess Return over Hang Seng Index: 18.48% - Information Ratio (IR): 1.22 - Maximum Drawdown: 23.73%[15][19] - **Stable New High Stock Screening**: - Not explicitly quantified in the report, but the model identifies stocks with strong recent performance and stable price paths, such as those in the financial, healthcare, and consumer sectors[22][23] Quantitative Factors and Construction Methods - **Factor Name**: 250-Day High Distance **Factor Construction Idea**: Measures the proximity of the latest closing price to the highest closing price in the past 250 trading days, capturing momentum and trend-following characteristics[22] **Factor Construction Process**: $ 250\text{-day high distance} = 1 - \frac{\text{Close}_{\text{latest}}}{\text{ts\_max(Close, 250)}} $ - If the latest closing price reaches a new high, the factor value is 0 - If the price has fallen from the high, the factor value is positive, indicating the degree of pullback[22] **Factor Evaluation**: This factor is effective in identifying stocks with strong momentum and limited pullbacks, which are likely to continue their upward trends[22] Factor Backtesting Results - **250-Day High Distance**: - Specific performance metrics are not provided, but the factor is used to screen stocks with strong momentum and stable trends, contributing to the selection of outperforming stocks in the financial, healthcare, and consumer sectors[22][23]

Group 1 - The core viewpoint of the articles highlights the strong inflow of funds into Hong Kong-related ETFs, particularly in technology, internet, and financial sectors, with nearly 5 billion yuan flowing into these ETFs since July [1][8] - On July 10, the A-share market experienced a collective rise, with the Shanghai Composite Index surpassing 3500 points, and the total trading volume reaching 1.49 trillion yuan [1][3] - The overall market for stock ETFs consists of 1138 funds with a total scale of 3.63 trillion yuan as of July 10, 2025 [2] Group 2 - On July 10, 17 stock ETFs saw net inflows exceeding 100 million yuan, with the top three being Huaxia Sci-Tech 50 ETF, Guotai Coal ETF, and Penghua Wine ETF, each with inflows over 400 million yuan [3][4] - The top sectors for net inflows included Sci-Tech 50 ETFs (16.1 billion yuan), semiconductor ETFs (9.9 billion yuan), and defense industry ETFs (6.8 billion yuan) [3][4] - The recent trend shows that the inflow into ETFs tracking the Hang Seng Technology Index exceeded 2.4 billion yuan, while those tracking the Sci-Tech 50 Index exceeded 2.3 billion yuan [4][8] Group 3 - Some broad-based ETFs experienced significant net outflows, with the top three being the CSI A500 ETF, CSI 300 ETF, and Nasdaq ETF, collectively losing over 15 billion yuan [7][8] - From July 1 to July 10, the overall stock ETF market faced a net outflow of over 9 billion yuan, with significant losses in the CSI 300 ETF, CSI A500 ETF, and ChiNext ETF [8] - The market sentiment is influenced by external factors such as tariffs and complex macroeconomic conditions, which may affect investor behavior moving forward [9]