Group 1 - The core viewpoint indicates that during the week of July 10-16, the A-share market saw an increase in margin financing balance, with a general rise in turnover rates and trading volumes across major indices. The PE valuation percentiles for major indices mostly increased, with the CSI 1000 leading the gains [1][2][3]. Group 2 - The stock-bond yield spread increased, indicating a relatively high investment cost-effectiveness in equity investments. As of July 16, 2025, the dividend yield of the CSI 300 was 3.06%, while the 10-year government bond yield was 1.66%, resulting in a stock-bond yield of -1.40%, which is higher than the average since the beginning of 2025 by 0.30 percentage points [13][16]. - The average margin financing balance for the week was approximately 1.89 trillion yuan, an increase of 1.10% compared to the previous week. The proportion of financing purchases in total A-share trading volume rose to 10.48%, up by 0.47 percentage points [16][19]. - Major indices experienced a general increase in trading volumes, with the CSI 300 showing the largest increase of 27.81% compared to the previous week, followed by the Shanghai Composite Index with an 18.54% increase [19][20]. Group 3 - The PE valuation percentiles for major indices mostly increased, with the CSI 1000 leading with a rise of 2.7 percentage points, followed by the CSI 500 with a 1.9 percentage point increase. The PB valuation percentiles also saw a general increase, with Wind's dual innovation index rising the most by 3.0 percentage points [23][27]. - Among different styles, the consumer sector led the increase in PE valuation percentiles by 1.2 percentage points, followed by the cyclical sector with a 1.0 percentage point increase. In terms of PB valuation percentiles, the cyclical sector saw the largest increase of 13.5 percentage points [31][35]. - In terms of industry performance, the oil and petrochemical sector led the increase in PE valuation percentiles by 4.0 percentage points, while the public utilities sector saw a decline of 1.8 percentage points [45][48].

Group 1 - As of July 16, 2025, the Hong Kong Stock Connect Non-Bank ETF (513750) reached a record size of 7.451 billion, with a year-to-date growth of 844.35% [1] - The ETF's latest share count is 4.840 billion, also a record high since its inception [1] - The index tracking the non-bank financial theme (931024) experienced a decline of 0.82% on the same date, with mixed performance among constituent stocks [1] Group 2 - The Hong Kong Stock Connect Non-Bank ETF has seen a net asset value increase of 74.06% over the past year, ranking 57 out of 2915 index stock funds, placing it in the top 1.96% [2] - The ETF's highest monthly return since inception was 31.47%, with the longest consecutive monthly gain being 4 months and a total increase of 38.25% [2] - The top ten weighted stocks in the index account for 77.92%, with major holdings including China Ping An, AIA, and Hong Kong Exchanges and Clearing [2] Group 3 - Recent policies aimed at enhancing financial market construction and expanding high-level financial openness are expected to create significant business opportunities for non-bank financial institutions [3] - The insurance sector is anticipated to benefit from new regulations promoting long-term investments, while brokerage firms are expected to maintain high trading activity levels [3] - The Hong Kong Stock Connect Non-Bank ETF is the first and only ETF tracking the non-bank index, with over 60% of its composition in insurance stocks [3]

Core Viewpoint - The China Securities Index for non-bank financial themes has shown significant growth over the past months, with a notable increase of 34.34% year-to-date, indicating a strong performance in the non-bank financial sector within the Hong Kong stock market [1]. Group 1: Index Performance - The China Securities Index for non-bank financial themes closed at 3882.02 points, down 0.58% on the day, with a trading volume of 25.524 billion yuan [1]. - Over the past month, the index has increased by 9.66%, and over the last three months, it has risen by 35.81% [1]. Group 2: Index Composition - The index comprises up to 50 listed companies that meet the non-bank financial theme criteria, reflecting the overall performance of this sector within the Hong Kong stock connect [1]. - The top ten weighted companies in the index include China Ping An (15.41%), Hong Kong Exchanges and Clearing (14.21%), AIA Group (13.82%), China Life Insurance (8.4%), and China Pacific Insurance (6.96%) [1]. Group 3: Index Adjustment Mechanism - The index samples are adjusted biannually, with adjustments occurring on the next trading day after the second Friday of June and December [3]. - In special circumstances, the index may undergo temporary adjustments, such as when a sample company is delisted or when new companies meet the criteria for inclusion [3].

- The report mentions multiple quantitative models, including the "Volume Model," "Low Volatility Model," "Feature Institutional Model," "Feature Volume Model," "Smart CSI 300 Model," "Smart CSI 500 Model," "Limit-Up/Down Model," "Calendar Effect Model," "Long-Term Momentum Model," "Comprehensive Weaponry V3 Model," and "Comprehensive CSI 2000 Model"[2][12][13][15] - The "Volume Model" is short-term and indicates a bullish signal for most broad-based indices[12] - The "Low Volatility Model" is short-term and provides a neutral signal[12] - The "Feature Institutional Model" is short-term and indicates a bearish signal[12] - The "Feature Volume Model" is short-term and indicates a bullish signal[12] - The "Smart CSI 300 Model" and "Smart CSI 500 Model" are short-term and indicate bullish signals[12] - The "Limit-Up/Down Model" is a mid-term model and provides a neutral signal[13] - The "Calendar Effect Model" is a mid-term model and provides a neutral signal[13] - The "Long-Term Momentum Model" is a long-term model and provides a neutral signal for all broad-based indices[14] - The "Comprehensive Weaponry V3 Model" and "Comprehensive CSI 2000 Model" are composite models that indicate bullish signals[15] - The "Turnover-to-Volatility Model" is a mid-term model for the Hong Kong market and indicates a bullish signal[16] - Backtesting results for the "Double Bottom Pattern" show a weekly return of 2.52%, outperforming the Shanghai Composite Index by 1.43%[43] - Backtesting results for the "Cup-and-Handle Pattern" show a weekly return of 2.0%, outperforming the Shanghai Composite Index by 0.91%[43]

The provided content does not include any specific quantitative models or factors, nor does it provide details about their construction, evaluation, or backtesting results. The report primarily focuses on market trends, fund flows, and sectoral performance analysis. Therefore, no quantitative models or factors can be summarized from the given content.

港股市场速览 优于大市 资金显著流入金融，制造业持续交易反内卷 股价表现：市场窄幅震荡，制造业表现领先 本周，恒生指数涨 0.9%，恒生科技涨 0.6%。风格方面，小盘（恒生小型股 +2.6%）＞中盘（恒生中型股+1.5%）＞大盘（恒生大型股+0.9%）。 概念指数多数上涨，表现领先的有：恒生金融（+2.2%）、恒生汽车（+2.1%）； 表现较弱的有：恒生公用事业（-1.3%）、恒生创新药（-0.7%）。 港股通行业中，25 个行业上涨，5 个行业下跌。涨幅居前的有：轻工制造 （+8.3%）、国防军工（+8.2%）、钢铁（+6.3%）、电力设备及新能源（+5.9%）、 农林牧渔（+5.2%）；下跌的有：有色金属（-4.0%）、纺织服装（-2.7%）、 食品饮料（-1.1%）、基础化工（-0.3%）、商贸零售（-0.2%）。 证券研究报告 | 2025年07月13日 资金强度：资金显著流入金融、互联网与房地产 本周，资金显著流入港股通成分股，总体日均资金强度（日均涨跌 x 日均 成交量）为+20.5 亿港元/日，上周为+4.8 亿港元/日，近 4 周平均为+7.2 亿 港元/日；近 13 周为+4.3 亿港元/ ...

Quantitative Models and Construction Methods 1. Model Name: Galaxy CSI 300 Enhanced Index Fund (007275.OF) - **Model Construction Idea**: The fund aims to track the CSI 300 Index effectively while employing quantitative methods for active portfolio management and risk control to achieve performance exceeding the benchmark index and generate long-term asset appreciation [2][38][60] - **Model Construction Process**: - The fund uses multi-factor stock selection, index replication, and event-driven strategies to enhance returns while optimizing the portfolio and strictly controlling risks [60] - The fund aims to control the absolute value of the daily tracking deviation between the net value growth rate and the performance benchmark within 0.5% and the annual tracking error within 7.75% [38] - **Model Evaluation**: The model demonstrates strong performance in generating excess returns, maintaining low tracking error, and effectively controlling risks [38][42][44] --- Model Backtesting Results 1. Galaxy CSI 300 Enhanced Index Fund - **Annualized Excess Return**: 6.49% since inception [39][42] - **Annual Excess Returns (2020-2025)**: 13.24% (2020), 11.06% (2021), 4.17% (2022), 2.83% (2023), 4.49% (2024), 3.27% (2025 YTD) [43] - **Maximum Drawdown (2020-2025)**: -15.78% (2020), -12.43% (2021), -24.09% (2022), -17.98% (2023), -10.89% (2024), -10.00% (2025 YTD) [44] - **Sharpe Ratio (2020-2025)**: 1.50 (2020), 0.33 (2021), -1.27 (2022), -0.82 (2023), 0.94 (2024), 1.60 (2025 YTD) [44] - **Information Ratio (2020-2025)**: 4.01 (2020), 3.50 (2021), 1.72 (2022), 1.25 (2023), 1.48 (2024), 3.75 (2025 YTD) [44] - **Tracking Error**: Annual tracking error averaged 2.68% from 2020, with a maximum of 3.38%, meeting the target of staying below 7.75% [45] - **2025 YTD Information Ratio**: 3.98, ranking 5th among CSI 300 Enhanced Index Funds [45][47] --- Quantitative Factors and Construction Methods 1. Factor Name: Multi-Factor Stock Selection - **Factor Construction Idea**: The fund employs a multi-factor model to identify stocks with high potential for excess returns based on various quantitative metrics [60] - **Factor Construction Process**: - Factors include valuation, momentum, quality, and risk control metrics - Stocks are selected based on their scores across these factors, aiming to optimize the portfolio for enhanced returns while maintaining alignment with the CSI 300 Index [60] - **Factor Evaluation**: The multi-factor approach has been effective in generating consistent excess returns and controlling risks [60] --- Factor Backtesting Results 1. Multi-Factor Stock Selection - **Excess Returns**: Contributed to the fund's annualized excess return of 6.49% since inception [42][43] - **Risk Control**: Supported low tracking error (average 2.68% annually) and controlled maximum drawdowns [44][45]

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]

Market Performance - On July 11, 2025, the Shanghai Composite Index rose by 0.01%, while the Shenzhen Component Index increased by 0.61% and the ChiNext Index by 0.80%[2] - The total trading volume of the two markets exceeded 1.7 trillion yuan, reaching 17,118.44 billion yuan, an increase of 2179.08 billion yuan from the previous trading day[2] - Out of 5,296 stocks, 2,999 rose while 2,297 fell, indicating a generally positive market sentiment[2] Sector and Style Analysis - The top-performing sectors included Non-Bank Financials (up 2.02%), Computers (up 1.91%), and Non-Ferrous Metals (up 1.88%)[19] - Conversely, the worst performers were Banks (down 1.76%), Building Materials (down 0.68%), and Coal (down 0.54%)[19] - Growth stocks outperformed value stocks across different market capitalizations, with small-cap growth leading the way[19] Fund Flow Insights - On July 10, 2025, the net outflow of main funds was 189.08 billion yuan, with large orders contributing significantly to this outflow[23] - Small orders, however, saw a continuous net inflow of 256.35 billion yuan, indicating retail investor interest[23] - Major ETFs such as the Huaxia SSE 50 ETF and the Huatai-PB CSI 300 ETF saw significant increases in trading volume, with changes of +20.12 billion yuan and +26.14 billion yuan respectively[28] Global Market Overview - On July 11, 2025, major Asia-Pacific indices showed mixed results, with the Hang Seng Index up 0.46% and the Nikkei 225 down 0.19%[31] - In the U.S., major indices also experienced gains, with the Dow Jones Industrial Average rising by 0.43% and the S&P 500 by 0.27%[32] - European indices had varied performances, with the DAX down 0.38% and the FTSE 100 up 1.23%[32]

Group 1 - The core viewpoint of the news is the performance of the CSI Hong Kong Stock Connect Non-Bank Financial Theme Index, which has shown significant growth in recent months, indicating a positive trend in the non-bank financial sector within the Hong Kong market [1][2] - The CSI Hong Kong Stock Connect Non-Bank Financial Theme Index increased by 2.9% to 3900.59 points, with a trading volume of 61.334 billion yuan on July 11 [1] - Over the past month, the index has risen by 7.55%, by 38.24% over the last three months, and by 30.42% year-to-date [1] Group 2 - The index comprises up to 50 listed companies that meet the non-bank financial theme criteria, reflecting the overall performance of this sector within the Hong Kong Stock Connect [1] - The top ten weighted companies in the index include China Ping An (15.49%), Hong Kong Exchanges (14.08%), AIA Group (13.98%), China Life (8.51%), and others, indicating a concentration in major financial institutions [1] - The index is fully composed of financial sector companies, with a 100% allocation to this industry [2] Group 3 - The index samples are adjusted biannually, with changes implemented on the next trading day following the second Friday of June and December [2] - In special circumstances, the index may undergo temporary adjustments, such as removing companies that are delisted or adding new companies that meet the criteria [2] - The handling of mergers, acquisitions, and other corporate actions is governed by specific calculation and maintenance guidelines [2]