Group 1 - The index focuses on leading innovative drug companies in the A-share market, consisting of no more than 50 stocks primarily involved in innovative drug research and development [4] - As of the midday close, the index has decreased by 1.5%, with a rolling price-to-earnings ratio of 53.3 times and a valuation increase of 80.9% since its launch [5] - The biotechnology ETF tracks the China Securities Biotechnology Theme Index, which also focuses on leading biotechnology companies in the A-share market, comprising stocks related to gene diagnosis, biopharmaceuticals, blood products, and other human biotechnology [6][7] Group 2 - The pharmaceutical ETF tracks the CSI 300 Healthcare Index, focusing on leading companies in the A-share pharmaceutical and healthcare sector, covering segments such as chemical pharmaceuticals, medical services, and medical devices [9] - As of the midday close, this index has decreased by 0.4%, with a rolling price-to-earnings ratio of 31.1 times and a valuation increase of 48.5% since its launch [10]

Market Performance - The China Securities Hong Kong Stock Connect Pharmaceutical and Health Comprehensive Index increased by 1.5% [1] - The Hang Seng Hong Kong Stock Connect Innovative Drug Index rose by 1.3% [1] - The China Securities Biotechnology Theme Index and the China Securities Innovative Drug Industry Index both saw an increase of 0.7% and 0.5% respectively [1] - The CSI 300 Pharmaceutical and Health Index grew by 0.6% [1] - The Hang Seng Innovative Drug ETF (159316) experienced a net subscription of 18 million units, reaching a record high of 1.26 billion yuan [1] Index Details - The Biotechnology ETF tracks the China Securities Biotechnology Theme Index, which focuses on leading A-share biotechnology companies involved in gene diagnosis, biopharmaceuticals, blood products, and other human biotechnology [4] - The rolling price-to-earnings (P/E) ratio for the Biotechnology Theme Index is 55.3 times, with a valuation percentile of 0.7% [5] - The Pharmaceutical ETF tracks the CSI 300 Pharmaceutical and Health Index, covering major companies in the pharmaceutical and health sector, including chemical pharmaceuticals, medical services, and medical devices [6][7] - The rolling P/E ratio for the CSI 300 Pharmaceutical and Health Index is 30.7 times, with a valuation percentile of 45.7% [7] ETF Characteristics - The Hang Seng Innovative Drug ETF is the only ETF tracking the innovative drug index, with a low management fee of 0.15% per year and a custody fee of 0.05% per year [9]

1. Report Industry Investment Rating - Not provided in the content 2. Core View of the Report - The performance of ETF products has varied in the past two weeks. Among the major broad - based ETFs, the CSI 2000 ETF had the largest increase, and among the industry and theme products, the military industry ETF had the largest increase. The fund flow trends of different types of ETFs have also changed, with some showing accelerated inflows, some turning from inflows to outflows, and others showing a slowdown in inflows [2][9]. 3. Summary According to the Table of Contents 3.1 ETF Market Review 3.1.1 Main Type ETF Fund Flow Overview - **Return Performance**: As of August 8, in the past two weeks, ETF products showed mixed performance. Among the major broad - based ETFs, the CSI 2000 ETF had the largest increase, and among the industry and theme products, the military industry ETF had the largest increase [9]. - **Fund Flow**: In the past two weeks, among the major broad - based ETFs, the CSI 2000 ETF had a net inflow of funds, while the CSI 300 ETF had the largest net outflow of funds [9]. 3.1.2 Main Type ETF Cumulative Fund Flow - **Broad - based ETF**: Since 2025, the fund flow of major broad - based ETFs has changed from outflow to inflow and then to outflow. The A - series ETFs have had continuous outflows. As of August 8, the Science and Technology/Innovation ETFs, A - series ETFs, and CSI 500 ETFs have all had net outflows. In the past two weeks, the net outflow speed of broad - based ETFs has accelerated, except for the A - series ETFs, whose net outflow speed has slowed down [10]. - **Industry and Theme/Strategy ETF**: The technology ETF has seen an increase in the inflow speed in the past two weeks. The pharmaceutical ETF has turned from net outflow to net inflow, the new energy ETF has turned from net inflow to net outflow, and the consumer ETF has seen an accelerated inflow. The inflow speed of the dividend, cycle, financial real estate, and large - manufacturing ETFs has slowed down [2][14]. - **Bond ETF**: In 2025, the credit bond and treasury bond ETFs have had the largest net inflows. In the past two weeks, there has been a large inflow of funds into the credit bond ETF, the local bond ETF has turned from net outflow to net inflow, the net inflow speed of the treasury bond ETF has slowed down, and the convertible bond and short - term financing ETFs have seen an accelerated net inflow [14]. 3.1.3 ETF Product Structure Distribution - **Newly Established Products**: As of August 8, a total of 13 new ETFs have been established in the market in the past two weeks, with a total issuance share of 5.152 billion, all of which are stock ETFs [2][17]. - **Scale Change**: Compared with the end of 2024, the scale of various types of ETFs has increased. The scale of bond ETFs, commodity ETFs, industry + dividend ETFs, QDII - ETFs, and broad - based ETFs has increased by 204.20%, 106.93%, 45.79%, 22.68%, and 2.55% respectively [2]. 3.1.4 Manager Scale Distribution - As of August 8, Huaxia Fund has the largest on - exchange ETF scale, reaching 79.1655 billion yuan. E Fund's ETF management scale has expanded by nearly 30 billion yuan compared with a year ago [18]. 3.2 Classification - based ETF Tracking 3.2.1 Technology Theme ETF Tracking - **Return Performance**: Products tracking communication equipment - related indices have performed well in the past two weeks [24]. - **Fund Flow**: Products tracking the Hang Seng Technology index had the largest net inflow of funds in the past two weeks, while products tracking the animation and game index had a net outflow of funds [27]. 3.2.2 Dividend Theme ETF Tracking - **Return Performance**: ETF products tracking the Hong Kong Stock Connect High - Yield Selection index had the largest increase in yield in the past two weeks [30]. - **Fund Flow**: Products tracking the S&P China A - Share Large - Cap Dividend Low - Volatility 50 index had the largest net inflow of funds in the past two weeks, while products tracking the Guoxin Hong Kong Stock Connect Central Enterprise Dividend index had a net outflow of funds [34]. 3.2.3 Consumption Theme ETF Tracking - **Return Performance**: Products tracking the China Education index have performed well in the past two weeks, and products tracking the S&P 500 Consumer Select Index have a relatively high premium rate [37]. - **Fund Flow**: ETFs tracking the 800 Consumption index had the largest net inflow of funds in the past two weeks, while products tracking household appliances had a net outflow of funds [40]. 3.2.4 Pharmaceutical Theme ETF Tracking - **Return Performance**: Products tracking innovation - drug indices such as the Hang Seng Innovation - Drug index have performed well in the past two weeks [42]. - **Fund Flow**: Not fully provided in the content 3.3 Hot - Theme ETF Tracking - Not fully provided in the content

Quantitative Models and Construction Methods Genetic Programming Industry Rotation Model - **Model Name**: Genetic Programming Industry Rotation Model - **Model Construction Idea**: Directly extract factors from industry index data such as volume, price, and valuation, and update the factor library at the end of each quarter[30] - **Model Construction Process**: The model adopts weekly frequency rebalancing, selecting the top five industries with the highest composite multi-factor scores for equal-weight allocation every weekend[30] - **Model Evaluation**: The model has achieved an absolute return of 28.79% this year, outperforming the industry equal-weight benchmark by 17.68 percentage points[30] - **Model Testing Results**: - Annualized Return: 31.39% - Annualized Volatility: 18.12% - Sharpe Ratio: 1.73 - Maximum Drawdown: -19.63% - Calmar Ratio: 1.60 - Last Week Performance: 3.15% - Year-to-Date (YTD): 28.79%[32] Absolute Return ETF Simulation Portfolio - **Model Name**: Absolute Return ETF Simulation Portfolio - **Model Construction Idea**: The asset allocation weights are mainly calculated based on the recent trends of various assets, with stronger trend assets assigned higher weights. The internal equity asset allocation weights directly adopt the monthly views of the monthly frequency industry rotation model[34] - **Model Construction Process**: The model's latest holdings include dividend style ETFs and ETFs related to pharmaceuticals, non-ferrous metals, media, steel, and energy chemicals[36] - **Model Evaluation**: The model has risen by 0.34% last week and has accumulated a 5.69% return this year[34] - **Model Testing Results**: - Annualized Return: 6.52% - Annualized Volatility: 3.81% - Maximum Drawdown: 4.65% - Sharpe Ratio: 1.71 - Calmar Ratio: 1.40 - Year-to-Date (YTD): 5.69% - Last Week Performance: 0.34%[39] Global Asset Allocation Simulation Portfolio - **Model Name**: Global Asset Allocation Simulation Portfolio - **Model Construction Idea**: Predict future returns of global major assets using a cycle three-factor pricing model, and construct the portfolio using a "momentum selects assets, cycle adjusts weights" risk budgeting framework[40] - **Model Construction Process**: The strategy currently overweights bonds and foreign exchange, with higher risk budgets assigned to assets such as Chinese bonds and US bonds[40] - **Model Evaluation**: The strategy has achieved an annualized return of 7.22% in the backtest period, with a Sharpe ratio of 1.50[40] - **Model Testing Results**: - Annualized Return: 7.22% - Annualized Volatility: 4.82% - Maximum Drawdown: -6.44% - Sharpe Ratio: 1.50 - Calmar Ratio: 1.12 - Year-to-Date (YTD): -3.04% - Last Week Performance: 0.61%[41] Quantitative Factors and Construction Methods Sentiment Indicators - **Factor Name**: Sentiment Indicators - **Factor Construction Idea**: Construct sentiment indicators from the perspectives of the put-call ratio, implied volatility, and basis in the options and futures markets[2] - **Factor Construction Process**: - **Put-Call Ratio**: Observe the ratio of the trading volume of call options to put options in the 50ETF and 500ETF options markets[17] - **Implied Volatility**: Construct the implied volatility ratio series of call and put options[20] - **Basis**: Construct the annualized basis rate weighted by the open interest for the four major stock index futures products[26] - **Factor Evaluation**: The sentiment indicators show that the previous overheating sentiment in the A-share market has continued to ease[2] Factor Backtesting Results Sentiment Indicators - **Put-Call Ratio**: The ratio has significantly fallen from the high levels observed on July 23, indicating a more rational market sentiment[17] - **Implied Volatility Ratio**: Despite the stock market rebound last week, the implied volatility ratio of call options to put options has been trending downward, further reflecting rational investor sentiment[20] - **Annualized Basis Rate**: The basis rate has been fluctuating downward, indicating rational sentiment in the futures market[26]

Market Overview - In July, the A-share market showed signs of short-term pressure after breaking through resistance levels, leading some funds to take profits, resulting in a net outflow of approximately 28 billion yuan from stock ETFs and cross-border ETFs [1][2][4] - The three major indices experienced a general upward trend, with the ChiNext Index rising over 8% in July, while the Shanghai Composite Index faced resistance around the 3600-point mark [2][4] ETF Fund Flows - The total net outflow from stock ETFs and cross-border ETFs in July was about 28 billion yuan, with significant outflows from the CSI 300 ETF (12.35 billion yuan) and the ChiNext ETF (6.25 billion yuan) [4][6] - Seven industry-themed ETFs saw net inflows exceeding 2 billion yuan, particularly in sectors like semiconductor technology, financial technology, and coal, which attracted substantial investments [6][10] Sector Performance - The semiconductor ETF saw a net inflow of 3.014 billion yuan, while the financial technology ETF attracted 2.736 billion yuan, indicating strong investor interest in these sectors [6][10] - Conversely, the pharmaceutical sector faced significant outflows, with the pharmaceutical ETF experiencing a reduction of 7.858 billion units and a net outflow of 3.177 billion yuan [8][10] Cross-Border ETF Activity - In the cross-border ETF segment, the Hong Kong Securities ETF recorded a net inflow of 11.2 billion yuan, indicating strong interest in Hong Kong markets [15][16] - Other notable inflows included the Hong Kong Stock Connect Internet ETF and the Hong Kong Stock Connect Non-Bank ETF, which also saw significant increases in fund flows [15][16] Future Outlook - The market outlook remains cautiously optimistic, with expectations of continued capital inflows driven by policy support and macroeconomic stability, particularly in the financial sector [10][18] - Upcoming ETF listings are anticipated to attract investor attention, focusing on sectors such as cloud computing and general aviation, which may present new investment opportunities [19][20]

Group 1 - The Hang Seng Hong Kong Stock Connect Innovative Drug Index rose by 4.4%, with a year-to-date increase of over 100% [1] - The CSI Hong Kong Stock Connect Pharmaceutical and Health Comprehensive Index increased by 4.0%, while the CSI Innovative Drug Industry Index rose by 3.0% [1] - The CSI Biotechnology Theme Index and the CSI 300 Pharmaceutical and Health Index saw increases of 2.6% and 2.5%, respectively [1] Group 2 - The Hang Seng Innovative Drug ETF (159316) has seen continuous inflows for 10 trading days, reaching a record size of over 800 million yuan [1] - The CSI Biotechnology Theme Index, which focuses on A-share biotechnology leaders, has a rolling price-to-earnings ratio of 59.8 times and has increased by 2.6% [4] - The CSI 300 Pharmaceutical and Health Index, which covers leading companies in the pharmaceutical and health industry, has a rolling price-to-earnings ratio of 31.4 times and has increased by 2.5% [4]

- Model Name: Diffusion Index Model; Construction Idea: The model is based on the principle of price momentum, capturing industry trends through diffusion indices; Construction Process: The model tracks the weekly and monthly changes in the diffusion indices of various industries, ranking them accordingly. The formula for the diffusion index is not explicitly provided; Evaluation: The model has shown varying performance over the years, with significant drawdowns during market reversals[24][25][28] - Model Name: GRU Factor Model; Construction Idea: The model utilizes GRU (Gated Recurrent Unit) deep learning networks to process minute-level volume and price data, aiming to capture trading information; Construction Process: The model ranks industries based on GRU factors, which are derived from the deep learning network's analysis of trading data. The specific formula for GRU factors is not provided; Evaluation: The model has performed well in short cycles but has shown general performance in longer cycles[31][32][35] - Diffusion Index Model, Average Weekly Return: 0.89%, Excess Return Since July: -3.47%, Excess Return YTD: -0.45%[28] - GRU Factor Model, Average Weekly Return: 4.27%, Excess Return Since July: 1.34%, Excess Return YTD: -4.25%[35] - Factor Name: Diffusion Index; Construction Idea: The factor is based on the momentum of industry prices, capturing upward trends; Construction Process: The factor is calculated by observing the weekly and monthly changes in the diffusion indices of various industries. The specific formula is not provided; Evaluation: The factor has shown varying performance, with significant drawdowns during market reversals[24][25][28] - Factor Name: GRU Factor; Construction Idea: The factor is derived from GRU deep learning networks, capturing trading information from minute-level volume and price data; Construction Process: The factor is calculated by ranking industries based on the GRU network's analysis of trading data. The specific formula is not provided; Evaluation: The factor has performed well in short cycles but has shown general performance in longer cycles[31][32][35] - Diffusion Index Factor, Top Industries: Comprehensive Finance (1.0), Steel (1.0), Non-Bank Finance (0.999), Comprehensive (0.998), Non-Ferrous Metals (0.997), Home Appliances (0.995)[25] - GRU Factor, Top Industries: Banking (3.3), Real Estate (0.58), Oil & Petrochemicals (-1.26), Textile & Apparel (-1.73), Light Manufacturing (-2.49), Electric Power & Utilities (-2.83)[32]

Group 1: ETF Naming and Differentiation - Many ETFs have undergone renaming this year to enhance their recognizability [1] - Despite renaming, several ETFs still have similar names, making it difficult to distinguish between them, especially when they track different indices [1] Group 2: Medical and Health ETFs - There are two ETFs named Medical and Health ETF: one managed by Huaxia Fund tracking the Shanghai Stock Exchange Medical and Health Industry Index, and another managed by GF Fund tracking the CSI All Share Medical and Health Index [2][3] - The Shanghai Stock Exchange Medical and Health Industry Index consists of 50 constituent stocks, while the CSI All Share Medical and Health Index includes 111 constituent stocks, fully encompassing the former [4][5] Group 3: Performance Comparison - The Shanghai Stock Exchange Medical and Health Industry Index has outperformed the CSI All Share Medical and Health Index over the past year to five years [6][7] Group 4: Medical ETFs - Two ETFs are named Medical ETF: one managed by Huatai-PB Fund tracking the CSI Medical and Health Index with 80 constituent stocks, and another managed by E Fund tracking the CSI 300 Medical and Health Index with 25 constituent stocks [8][9] - The CSI Medical and Health Index fully covers the constituent stocks of the CSI 300 Medical and Health Index [9] Group 5: Performance of Medical ETFs - The CSI Medical and Health Index has shown slightly better performance than the CSI 300 Medical and Health Index over the past year to five years [10] Group 6: Medical 50 ETFs - There are two ETFs named Medical 50 ETF: one managed by Bosera Fund tracking the CSI Medical 50 Index with 50 constituent stocks, and another managed by Huaan Fund tracking the CSI Sub-Industry Medical Theme Index, also with 50 constituent stocks [11][12] - Both indices share 25 common constituent stocks, with each having 25 unique stocks [12] Group 7: Performance of Medical 50 ETFs - The CSI Sub-Industry Medical Theme Index has outperformed the CSI Medical 50 Index in the past year and three years, while the latter has slightly better performance over the past five years [13]

Group 1 - The ETF market has reached a scale of 4.39 trillion yuan as of July 15, 2023, an increase of 661 billion yuan from the end of last year, marking a growth rate of 17.7% [2][3] - The main categories attracting investment this year are bond, cross-border, and gold ETFs, with significant inflows into related sectors such as robotics and innovative pharmaceuticals [2][5] - The number of newly established ETFs has reached 200, with a total issuance of 131 billion shares, surpassing the total scale of the previous year [8] Group 2 - Among the various types of ETFs, stock ETFs dominate the market, accounting for 80.08% of the total number and 72.44% of the total shares issued [4] - Bond ETFs have seen a remarkable increase, with a market scale of 400.61 billion yuan, up 130.3% from the end of last year, making them the largest "dark horse" in the ETF category [5] - The cross-border ETFs have also grown significantly, with an increase of 177.82 billion yuan since the end of last year, second only to bond ETFs [6] Group 3 - The CSI A500 ETF has experienced the largest decline in market scale this year, dropping over 60 billion yuan, making it the "blood loss king" among ETFs [8][11] - The competition landscape for the CSI A500 ETF has changed, with Huatai-PB's CSI A500 ETF rising to the top with a scale of 179.6 billion yuan, while Guotai's CSI A500 ETF has fallen to 176 billion yuan [11][12] - The performance of various thematic ETFs related to technology, such as robotics and artificial intelligence, has also been strong, with significant inflows exceeding 100 billion yuan [7][8]

ETF Market Overview - The overall performance of ETF products has been good in the past two weeks, with the largest increase seen in the ChiNext Index ETF and the pharmaceutical industry ETF [4][12] - Major broad-based ETFs such as the Science and Technology 50, CSI 2000, and CSI 800 saw net inflows, while the CSI A500 ETF experienced the largest net outflow [4][12] - After significant outflows at the beginning of the year, technology ETFs have shifted to net inflows since March, with a notable acceleration in inflow speed in the last two weeks [4][20] ETF Product Structure Distribution - As of July 11, 17 new ETFs were launched in the past two weeks, with a total issuance of 31.823 billion units, including 7 stock ETFs and 10 pure bond ETFs [27] - Compared to the end of 2024, the scale of various ETFs has increased, with bond ETFs, commodity ETFs, industry + dividend ETFs, QDII ETFs, and broad-based ETFs rising by 132.25%, 111.16%, 29.00%, 14.05%, and 2.70% respectively [27] Thematic ETF Tracking - In the technology theme ETFs, products tracking animation and gaming performed best, while overseas technology ETFs underperformed compared to domestic ones [33] - For dividend theme ETFs, those tracking the CSI Central State-Owned Enterprise Dividend had the highest return in the past two weeks, with significant net inflows for products tracking low-volatility dividend indices [4][33] - In the pharmaceutical theme ETFs, products tracking innovative drug indices showed strong performance, with net inflows for those tracking Hong Kong Stock Connect innovative drug indices [4][33] Fund Manager Scale Distribution - As of July 11, Huaxia Fund has the largest ETF scale at 762.281 billion yuan, while E Fund's ETF management scale has expanded by over 290 billion yuan compared to one year ago [28]