- The report tracks the performance of enhanced index funds, highlighting the best-performing funds across different indices such as CSI 500, CSI 1000, and CSI 2000. For example, the Ping An CSI 500 Enhanced Index Fund achieved an excess return of 2.03% last week, while the Taiping CSI 1000 Enhanced Index Fund recorded an excess return of 1.84%[5][38][41] - Over the past year, the best-performing enhanced index funds include the E Fund CSI 300 Enhanced Fund with a 12.83% excess return, the Penghua CSI 500 Enhanced Fund with an 18.90% excess return, and the Huaxia CSI 1000 Enhanced Fund with a 28.67% excess return[39][42] - The report also provides detailed performance metrics for various enhanced strategy ETFs, such as the China Merchants CSI 2000 Enhanced Strategy ETF, which achieved a 31.60% excess return over the past year and 22.17% since 2025[27][28][39]

- The report mentions the construction of enhanced strategy ETFs, which are based on indices such as CSI 300, CSI 500, CSI 1000, SSE STAR 50, and others. These ETFs aim to outperform their respective benchmarks through quantitative strategies and factor-based enhancements [23][24][35] - The construction process involves selecting stocks from the underlying index and applying quantitative models to optimize the portfolio. The models may include factor analysis, risk control, and return enhancement techniques. Specific formulas or methodologies are not detailed in the report [23][24][35] - Evaluation of enhanced strategy ETFs indicates that 18 out of 51 ETFs outperformed their benchmarks last week. Over the past year, 30 out of 33 ETFs achieved positive excess returns, showcasing the effectiveness of the strategy [23][24][35] - Testing results for enhanced strategy ETFs show varying excess returns. For example, the CSI 300 Enhanced ETF achieved a weekly excess return of 0.64%, while the CSI 500 Enhanced ETF achieved 1.42%. Over the past year, the CSI 1000 Enhanced ETF delivered an excess return of 28.67%, and the Guozheng 2000 Enhanced ETF achieved 33.35% [24][35][36]

- The report tracks the performance of various enhanced index funds, including those based on indices such as CSI 500, CSI 1000, and CSI 2000, highlighting their excess returns over benchmarks. For example, the Huatai-PineBridge CSI 500 Enhanced Index Fund achieved an excess return of 1.25% last week, while the Huatai-PineBridge CSI 1000 Enhanced Index Fund recorded 1.39%[6][39][40] - Over the past year, the best-performing enhanced index fund in the CSI 500 category was the Penghua CSI 500 Enhanced Index Fund, with an excess return of 18.88%. In the CSI 1000 category, the best performer was the Boda CSI 1000 Enhanced Index Fund, achieving an excess return of 29.12%. For the CSI 2000 category, the Huatai-PineBridge CSI 2000 Enhanced Index Fund led with an excess return of 31.92%[40][41][42] - Enhanced strategy ETFs have shown strong performance, with 30 out of 51 ETFs surpassing their benchmarks last week. Over the past year, 29 out of 33 ETFs established for more than a year achieved positive excess returns. The best-performing ETF over the past year was the China Merchants CSI 2000 Enhanced Strategy ETF, with an excess return of 29.97%[26][27][39]

- The report does not include any quantitative models or factors related to construction, testing, or evaluation[2][3][4]

Core Insights - The overall recovery of actively managed public funds has reached 95% since the last bull market peak. A 5% increase in the equity fund index could correspond to a 5% rise in the Shanghai Composite Index, targeting around 3800 points [9][32][40] - Among the 3 trillion new funds, the thematic funds have a scale of 500 billion, with consumption funds at 40%, manufacturing funds at 31%, and pharmaceutical funds at 19%. The new funds have faced greater pressure, with an overall recovery to an average of 94% of the initial net value, while the pharmaceutical funds have returned to positive, consumption funds at 82%, and manufacturing funds at 88% [9][46] - The asset allocation of Chinese residents is primarily concentrated in housing and stocks, with the adjustments in the stock and real estate markets over the past three years being the main reason for the shrinkage of residents' balance sheets. Stabilizing these markets is crucial for improving residents' income [9][10][22] - Compared to real estate, the stock market is a key foundation for the future recovery of residents' balance sheets and the enhancement of property income. The current recovery of the 3 trillion new funds reflects the significant impact of this bull market on the repair of residents' balance sheets [10][23] Fund Performance Analysis - The performance of old funds has been significantly lower than that of new funds, with old funds showing an average net value return of -12%, while new funds have achieved an average return of 2%. The disparity in returns is primarily due to the higher base of net value calculations for old funds [38][40] - As of August 6, 2025, the overall average return of new and old funds has improved by 25 percentage points since the low in January 2024, with old funds recovering by 20 percentage points and new funds by 29 percentage points [40][41] - The analysis of thematic funds indicates that the performance of new funds in thematic sectors has been under pressure, with the average net value return for thematic funds in old funds at -17% and for new funds at -6% [46][51] Market Dynamics - The stock market's role as a vehicle for excess savings is emphasized, with the potential for an influx of 10 trillion yuan into the stock market if it returns to the average ratio of the past five years [10][12] - The report highlights the importance of policy support in stabilizing the stock and real estate markets, which has been a focus since September 2024, aiming to restore residents' balance sheets and enhance property income [10][22] - The recovery of residents' financial confidence is evident, with personal housing loan balances showing a positive trend after a period of decline, indicating a shift back to an expansion state for residents' balance sheets [22][23]

Report Industry Investment Rating No relevant content provided. Core Viewpoints - In June, all major market indices' valuations were adjusted upwards. In terms of price - to - earnings ratio and price - to - book ratio, the historical percentile increases of CSI 300 and CSI All - Share were among the top, while the ChiNext Index remained at a historical low. Among the 31 Shenwan primary industries, 23 industries rose, with the top 5 gainers being communication, national defense and military industry, non - ferrous metals, electronics, and media; the top 5 losers were food and beverage, beauty care, household appliances, coal, and transportation [1]. - In June, 70 new funds were issued, with a total issuance scale of 62.728 billion yuan. The issuance of active equity funds was booming, while the issuance of passive equity funds decreased slightly. Only commodity - type funds declined, with a 1.66% drop, and the largest gain was in equity - biased funds, up 2.68% [2]. - From the perspective of fund style indices, the growth style outperformed the value style, and the large - cap style underperformed the small - cap style. Overall, the mid - cap growth style performed outstandingly, rising 5.83%, while the large - cap value style had the smallest increase, about 2.52% [2]. - In the ETF market, last month, there was a net inflow of 59.605 billion yuan. Bond - type ETFs had a net inflow of over 90 billion yuan, and stock - type ETFs had a net outflow of 31.54 billion yuan [3]. - In June, the risk - parity model rose 1.59%, and the risk - budget model rose 2.34% [5]. Summary by Directory 1. Last Month's Market Review 1.1 Domestic Market Situation - In June, all major indices in the Shanghai and Shenzhen markets rose. The ChiNext Index rose by over 8%, and the Shenzhen Component Index and CSI 500 rose by over 4%. Among the 31 Shenwan primary industries, 23 industries rose. The top 5 gainers were communication, national defense and military industry, non - ferrous metals, electronics, and media; the top 5 losers were food and beverage, beauty care, household appliances, coal, and transportation. In the bond market, the ChinaBond Composite Full - Price Index rose 0.31%, and the total full - price indices of ChinaBond Treasury bonds, financial bonds, and credit bonds rose between 0.13% and 0.40%. The CSI Convertible Bond Index rose 3.34%. In the commodity market, the Nanhua Commodity Index rose 4.03% [13]. 1.2 European, American, and Asia - Pacific Market Situation - In June, most European, American, and Asia - Pacific markets rose. In the US stock market, the S&P 500 rose 4.89%, the Dow Jones Industrial Average rose 4.21%, and the Nasdaq rose 6.57%. In the European market, the French CAC 40 fell 1.11%, and the German DAX fell 0.37%. In the Asia - Pacific market, the Hang Seng Index rose 3.36%, and the Nikkei 225 rose 6.64% [21]. 1.3 Market Valuation Situation - In June, all major market indices' valuations were adjusted upwards. In terms of price - to - earnings ratio and price - to - book ratio, the historical percentile increases of CSI 300 and CSI All - Share were among the top, while the ChiNext Index remained at a historical low. Among industries, the top five industries with the highest historical percentiles of price - to - earnings ratio in the Shenwan primary index last month were real estate, banking, automotive, chemical, and electronics. The real estate industry's price - to - earnings ratio percentile reached 96.6%. The five industries with lower historical percentiles of price - to - earnings ratio were agriculture, forestry, animal husbandry and fishery, non - bank finance, food and beverage, light manufacturing, and household appliances, all with percentiles less than 25% [24]. 2. Overall Situation of Public Offering Funds 2.1 Fund Issuance Situation - In June, 70 new funds were issued, with a total issuance scale of 62.728 billion yuan. Among them, 33 stock - type funds were issued with a scale of 11.646 billion yuan; 14 hybrid funds were issued with a scale of 6.317 billion yuan; 14 bond - type funds were issued with a scale of 35.293 billion yuan; 4 FOF funds were issued with a scale of 7.5 billion yuan; 3 REITs funds were issued with a scale of 1.3 billion yuan; and 2 QDII funds were issued with a scale of 0.67 billion yuan. A total of 17 active equity funds were issued with a scale of 6.738 billion yuan, and 36 index funds were issued with a scale of 28.472 billion yuan. The issuance of active equity funds increased significantly, while that of passive equity funds decreased slightly [32]. 2.2 Fund Market Return Situation - In June, only commodity - type funds declined, with a 1.66% drop, and the largest gain was in equity - biased funds, up 2.68%, with a positive return ratio of 97.63%. From the perspective of fund style indices, the growth style outperformed the value style, and the large - cap style underperformed the small - cap style. The mid - cap growth style performed outstandingly, rising 5.83%, while the large - cap value style had the smallest increase, about 2.52%. Generally, smaller - scale funds in the equity market performed better. The large - scale funds with a scale of 4 - 10 billion had the largest average increase of 2.80%, with a positive return ratio of 97.52%, while the super - large - scale funds over 10 billion had the smallest increase of 2.16%, with a positive return ratio of 88.46% [2][40][43]. 2.3 Active Equity Fund Position Situation - Using Lasso regression to measure the positions of active equity funds, the position on June 30, 2025, was 75.44%, a decrease of 3.76 percentage points from the previous month [47]. 3. ETF Fund Situation - In the ETF market, last month, there was a net inflow of 59.605 billion yuan. Bond - type ETFs had a net inflow of over 90 billion yuan, and stock - type ETFs had a net outflow of 31.54 billion yuan, with funds flowing from broad - based indices such as CSI 300 to bond funds. In terms of liquidity, the average daily trading volume of the overall ETF market this period reached 265.76 billion yuan, the average daily trading volume reached 126.808 billion shares, and the average daily turnover rate reached 8.59%. At the individual bond level, most broad - based index targets had net outflows except for the CSI A500 Index. Huatai - PineBridge CSI 300 ETF had a net outflow of 5.45 billion yuan, while Huatai - PineBridge CSI A500 ETF had a net inflow of 13.54 billion yuan. Among the most actively traded targets, Financial Technology ETF, Hong Kong Securities ETF, Communication Equipment ETF, ChiNext Artificial Intelligence ETF Huabao, and 5G ETF had the highest monthly gains, rising between 15.7% and 18.8%. Food and Beverage ETF, Consumption 30 ETF, Wine ETF, Leading Home Appliance ETF, and Southeast Asia Technology ETF had the highest monthly losses, falling between 1.6% and 4.4%. In terms of fund flow, the top funds with net inflows also included Hong Kong Stock Connect Innovation Pharmaceutical ETF, Bank ETF, A500ETF Harvest, and Hong Kong Non - Bank ETF; the top funds with net outflows also included CSI 300ETF E Fund, ChiNext ETF, Harvest CSI 300ETF, and CSI A500ETF Fullgoal [3][51][52]. 4. Model Operation Situation - Four types of large - asset allocation models were constructed using stocks, bonds, commodities, and QDII. In June, the risk - parity model rose 1.59%, and the risk - budget model rose 2.34%. Since 2015, the annualized return of the risk - parity model has been 4.64%, with a maximum drawdown of 2.31%; the annualized return of the risk - budget model has been 4.45%, with a maximum drawdown of 9.80%. Next month, the asset allocation weights of the models remain unchanged. For the risk - parity model, the ratio of stocks: bonds: commodities: QDII is 6%: 70%: 12%: 11%; for the risk - budget model, it is 13%: 52%: 9%: 25% [62][63][65].

Quantitative Models and Construction Methods Model Name: Momentum Model - Construction Idea: The momentum model is designed to capture the trend-following behavior in the market, particularly effective during the end-of-quarter period when funds tend to adjust their positions based on recent performance trends [13][37] - Detailed Construction Process: The model identifies stocks with strong recent performance and allocates more weight to them. The formula used is: $ \text{Momentum Score} = \frac{\text{Price}_{t} - \text{Price}_{t-1}}{\text{Price}_{t-1}} $ where $\text{Price}_{t}$ represents the current price and $\text{Price}_{t-1}$ represents the price at the previous time period [13][37] - Evaluation: The momentum model performs well during the end-of-quarter period, aligning with the characteristic fund allocation behavior [13][37] Model Backtesting Results Momentum Model - Information Ratio (IR): 1.75 [38] - Excess Return: 1.95% [38] Quantitative Factors and Construction Methods Factor Name: Value Factor - Construction Idea: The value factor aims to identify undervalued stocks by comparing their market price to fundamental metrics such as earnings, book value, and cash flow [13][29] - Detailed Construction Process: The factor is constructed using the following formula: $ \text{Value Score} = \frac{\text{Earnings}}{\text{Price}} + \frac{\text{Book Value}}{\text{Price}} + \frac{\text{Cash Flow}}{\text{Price}} $ where $\text{Earnings}$, $\text{Book Value}$, and $\text{Cash Flow}$ are fundamental metrics, and $\text{Price}$ is the current market price [13][29] - Evaluation: The value factor has shown a significant shift in fund allocation from growth to value stocks since April, indicating its effectiveness in capturing the market's structural adjustments [29][33] Factor Backtesting Results Value Factor - Information Ratio (IR): 1.38 [38] - Excess Return: 1.45% [38]

- The report tracks the performance of enhanced index funds, highlighting that in the CSI 300 enhanced index fund category, the best performer last week was E Fund CSI 300 Selected Enhanced A (010736.OF), achieving an excess return of 1.14% relative to the benchmark[5][40][42] - In the CSI 500 enhanced index fund category, HuaAn CSI 500 Enhanced A (005607.OF) delivered an excess return of 0.59% last week[5][40][42] - For the CSI 1000 enhanced index fund category, E Fund CSI 1000 Quantitative Enhanced A (017094.OF) achieved an excess return of 0.84% last week[5][40][42] - In the Guozheng 2000 enhanced index fund category, Penghua Guozheng 2000 Enhanced A (017892.OF) performed the best, with an excess return of 1.04% last week[5][40][42] - Over the past year, the best performer in the CSI 300 enhanced index fund category was Anxin Quantitative Selected CSI 300 Enhanced A (003957.OF), achieving an excess return of 15.24%[41][42][43] - In the CSI 500 enhanced index fund category, ZhongOu CSI 500 Enhanced A (015453.OF) led with an excess return of 9.84% over the past year[41][42][43] - For the CSI 1000 enhanced index fund category, Dacheng CSI 1000 Enhanced A (018661.OF) achieved the highest excess return of 17.26% over the past year[41][42][43] - In the Guozheng 2000 enhanced index fund category, Huaxia Guozheng 2000 Enhanced A (019318.OF) delivered the best performance, with an excess return of 22.77% over the past year[41][42][43]

- The report primarily focuses on the weekly performance of the equity market, highlighting the resilience of the A-share market amidst global trade policy fluctuations and the rising prominence of technology and new consumption sectors [13][14][18] - It mentions the issuance of multiple quantitative products, including A500 Index Enhanced and Sci-Tech Composite Index Enhanced funds, which aim to enrich the market's product offerings [13][72][73] - The report tracks the weekly net inflow and outflow of funds across various ETF categories, showing significant movements in wide-base indices, industry-specific ETFs, and thematic ETFs [42][43][46] - Quantitative models such as the "Cinda Financial Engineering Industry Rotation Strategy" are referenced, which monitor marginal changes in holdings by high-performing funds to identify over-allocated and under-allocated sectors [37][38][41] - The report provides detailed fund flow data, including top-performing sectors like electronics, communication, and non-bank finance, as well as sectors with significant outflows such as automobiles, machinery, and pharmaceuticals [60][65][67]

- The report tracks the performance of various enhanced index funds, including Huashang Quantitative Selected CSI 300 Enhanced A, which achieved an excess return of 0.66% last week relative to its benchmark[4][37][40] - Among CSI 500 Enhanced Index Funds, Haitong CSI 500 Enhanced A delivered the best performance last week with an excess return of 1.06%[4][37][40] - For CSI 1000 Enhanced Index Funds, Guojin CSI 1000 Enhanced A achieved an excess return of 0.97% last week, while over the past year, Bosera CSI 1000 Enhanced A led with an excess return of 15.32%[4][37][38] - In the CSI 2000 Enhanced Index Funds category, Wanjia CSI 2000 Enhanced A performed best last week with an excess return of 0.66%, while Huixintong CSI 2000 Enhanced A achieved the highest one-year excess return of 20.64%[4][37][38]