Core Viewpoint - The establishment of a performance comparison benchmark element library for public funds aims to standardize the selection and use of indices, enhancing the comparability of fund performance across products [1][2]. Group 1: Benchmark Library Structure - The benchmark library is divided into two categories: Category One and Category Two, encompassing a total of 141 indices, including 69 core indices in Category One and 72 indices in Category Two, covering mainstream investment targets in A-shares and Hong Kong stocks [1][2]. - Category One includes indices that are highly representative and widely recognized, encouraging fund managers to select and use them in developing actively managed funds [2][3]. - Category Two focuses on innovation and differentiation, including indices with certain usage frequency and larger market capitalization, effectively supplementing Category One [1][2]. Group 2: Inclusion Criteria for Indices - Category Two indices must meet several standards, such as having a single constituent's weight not exceeding 20% for broad-based indices and at least 30 constituents for non-broad-based indices [3][4]. - Category One indices must meet Category Two standards and have an average free float market capitalization of at least 10,000 billion yuan over the past year, along with other relevant standards [3][4]. Group 3: Selection Principles for Different Index Types - For broad-based indices, selection is based on representativeness, investability, and coverage, requiring at least 10 actively managed funds to use the index as a benchmark [4][5]. - Industry theme indices must cover key strategic emerging industries or areas strongly supported by national policies, with a focus on market recognition and expert committee approval [4][5]. - Strategy indices should clearly reflect specific strategy factors or styles, with sufficient differentiation in risk and return profiles [5][6]. Group 4: Dynamic Adjustment of the Benchmark Library - The benchmark library is not static; it will undergo quarterly evaluations for the entry and exit of indices and semi-annual assessments for adjustments between the two categories [7]. - Indices in Category Two that meet Category One standards may be promoted to Category One, while those in Category One that no longer meet standards may be demoted [7]. - The expert group responsible for these evaluations consists of representatives from various industry institutions, ensuring a fair and transparent process [7].

Core Viewpoint - The China Securities Regulatory Commission (CSRC) has solicited public opinions on the "Guidelines for Performance Comparison Benchmarks of Publicly Raised Securities Investment Funds," while the Asset Management Association of China (AMAC) has issued a performance comparison benchmark element library to institutions [1] Group 1: Benchmark Libraries - The performance comparison benchmark element library is divided into two categories: Category One and Category Two, which include broad-based indices, industry thematic indices, and strategy indices [1] - Category One contains 69 indices, while Category Two includes 72 indices, covering various market types such as domestic cross-market, domestic single-market, and specific sectors [1] Group 2: Guidelines and Regulations - The Category One library includes performance comparison benchmarks that are highly representative and widely recognized, encouraging fund managers to select and use them in a standardized manner when developing actively managed funds [1] - Fund managers intending to use indices from Category Two must explain their considerations during product registration, and those using indices outside the benchmark library must also provide justification and ensure compliance with the relevant guidelines [1]

Core Viewpoint - The "National Team," including Central Huijin Investment and its asset management plans, has maintained a stable position in broad-based ETFs while making minor adjustments in sector-specific ETFs, reflecting a strategic approach to stabilize the A-share market [1][2][3]. Group 1: ETF Holdings and Performance - The "National Team" has kept its holdings in broad-based ETFs largely unchanged, with significant performance in the third quarter, where the average increase of ETFs held exceeded 20%, resulting in a scale increase of over 200 billion yuan [2][6]. - As of mid-2025, the "National Team" holds over 40% of the total A-share ETF market, indicating a strong influence on market stability [3]. - The total scale of ETFs held by Central Huijin Investment and its asset management plans reached 1.55 trillion yuan by the end of the third quarter, marking an increase of over 200 billion yuan from the previous quarter [7]. Group 2: Specific ETF Adjustments - Central Huijin Asset Management's two specialized asset management plans have shown more frequent trading activity, including a reduction in holdings of specific ETFs, which should not be interpreted as a broader "National Team" strategy [4][5]. - Notably, the specialized plans reduced their holdings in the Guotai Zhongzheng 800 Automotive and Parts ETF by 800,000 shares in July, and completely divested from the Huaxia Hang Seng China Mainland Enterprises High Dividend ETF [4]. Group 3: Market Conditions and Influences - The significant rebound in the A-share market during the third quarter was a primary driver of the "National Team's" unrealized gains, supported by favorable domestic liquidity conditions and expectations of U.S. Federal Reserve interest rate cuts [8]. - Factors such as policy support, active trading, and capital inflows contributed to the overall positive market performance, with a notable increase in risk appetite among investors [8].

Group 1 - The CSI A500 Index experienced a slight decline of 0.05% this week, closing at 5583.72 points as of October 31 [1] - The average daily trading volume for the week was 8921.90 billion, with a week-on-week increase of 37.23% [1] - Among the 40 CSI A500 ETFs, only the Guotai Fund's CSI A500 Enhanced ETF saw a decrease of 0.5%, while the Huaan Fund's CSI A500 Enhanced ETF increased by 0.95% [1] Group 2 - The total scale of A500 ETFs has returned to over 2000 billion, with the top three funds being Huatai-PineBridge, E Fund, and Guotai, with scales of 254.98 billion, 234.41 billion, and 224.57 billion respectively [1] - According to Xinda Securities, by Q3 2025, a market recovery is expected, leading to profit-taking trends in broad indices like the Sci-Tech 50 and CSI 300, while ETF funds will continue to favor Hong Kong stocks and certain low-position sectors [1] - Significant net outflows exceeding 100 billion are concentrated in core broad-based and growth sectors, including the Sci-Tech 50, CSI 300, CSI A500, and others [1][2] Group 3 - Guojin Securities has raised net profit forecasts for the years 2025 and 2026 across major indices, including the Shanghai 50, CSI 300, and ChiNext Index, while the CSI 500 saw mixed adjustments [2] - The profit forecasts for large/mid-cap growth/value styles have been increased for 2025 and 2026, whereas small-cap growth forecasts have been lowered [2]

Group 1 - The core viewpoint of the article indicates that after the release of favorable policies, the probability of style switching in the market has increased, with a focus on technology and manufacturing sectors as the main drivers of domestic development [2][5] - The equity market is expected to transition to a stable operation as new catalysts diminish following the implementation of the "14th Five-Year Plan," suggesting a potential reduction in growth momentum [2][5] - It is recommended to moderately reduce positions in technology growth sectors and consider switching to broader indices or low-volatility dividend stocks for a more stable investment approach [2][5] Group 2 - In the stock market, the balance between large-cap and small-cap stocks has been maintained, while growth styles have shown a tendency towards growth [7] - The volatility of both large-cap and growth styles has increased, indicating a more dynamic market environment [7][8] - The concentration of trading has slightly decreased, with the proportion of trading volume from the top 100 stocks showing a minor decline [7] Group 3 - In the commodity market, the trend strength of precious metals and agricultural products has decreased, while other sectors have shown an increase in trend strength [20] - The liquidity of precious metals, non-ferrous metals, and agricultural products has declined, indicating potential challenges in these markets [20] Group 4 - In the options market, the implied volatility has decreased, reflecting a calming of market expectations regarding tariff increases, although uncertainty remains as both put and call option positions have increased [23] Group 5 - The convertible bond market has shown slight recovery, with stable pure bond premium rates and a steady increase in the premium rates for bonds convertible at 100 yuan [25]

证券研究报告·金融工程报告 2025 年 10 月 29 日 江海证券研究发展部 金融工程定期报告 金融工程研究组 A 股市场快照：宽基指数每日投资动态 2025.10.29 ◆市场表现：2025 年 10 月 28 日, 各宽基指数（表 1）除了中证 2000（0.17%）外 分析师：梁俊炜 投资要点： 执业证书编号：S1410524090001 A 股市场快照：宽基指数每日投资动 A 股市场快照：宽基指数每日投资动 全部下跌，其中上证 50（-0.62%）和中证 500（-0.52%）跌幅最大。当年涨跌情况， 创业板指（50.8%）涨幅最大，其次是中证 2000（32.4%）和中证 500（28.21%）， 中证 1000（25.54%）和中证全指（24.05%）涨幅缩小，而上证 50（13.62%）涨幅 最小。另外，创业板指连续四日连阳，中证 1000 和中证全指连续六日连阳，中证 2000 连续七日连阳。 ◆均线比较：所有跟踪指数仍在 5 日、10 日及 20 日均线之上。创业板指距离各均 相关研究报告 态 2025.10.28 态 2025.10.27 A 股市场快照：宽基指数每日投资动 态 202 ...

- The report primarily focuses on tracking and analyzing the performance of broad-based indices in the A-share market, including metrics such as daily returns, moving averages, turnover rates, risk premiums, PE-TTM, dividend yields, and price-to-book ratios [1][3][4] - The daily return distribution of indices is analyzed, showing that the ChiNext Index has the largest negative skewness and kurtosis deviation, while the CSI 300 Index has the smallest negative skewness and kurtosis deviation. This reflects the concentration and extreme return tendencies of these indices [3][22][24] - The risk premium of the indices is calculated relative to the 10-year government bond yield as a risk-free rate. The ChiNext Index (97.46%) and CSI 500 (92.62%) have the highest 5-year percentile values, while the SSE 50 (77.7%) and CSI 2000 (74.92%) have relatively lower values [3][26][30] - The PE-TTM (Price-to-Earnings Trailing Twelve Months) ratios of the indices are evaluated as a valuation metric. The CSI 500 (99.01%) and CSI All Share (98.68%) have the highest 5-year percentile values, while the CSI 2000 (85.29%) and ChiNext Index (60.5%) are relatively lower. The SSE 50 and CSI 300 have reached their 1-year historical peak values [36][40][41] - Dividend yields are tracked as a measure of cash return. The ChiNext Index (66.61%) and CSI 1000 (42.15%) are at relatively high 5-year historical percentiles, while the CSI 2000 (18.43%) and CSI 500 (14.96%) are at lower levels [44][50][51] - The price-to-book ratios and the proportion of stocks trading below their book value are analyzed. The current proportion of stocks trading below book value is highest for the SSE 50 (22.0%) and lowest for the ChiNext Index (1.0%) [52][54]

Group 1: Report Industry Investment Rating - No relevant content found Group 2: Core View of the Report - The market's judgment on international relations tends to swing between extreme optimism and extreme pessimism, causing market sentiment to fluctuate. The market has sufficient expectations for slow - changing variables like interest rates but overreacts to fast - changing international relations variables, and market volatility may continue [2] - China's Q3 GDP grew 4.8% year - on - year, meeting expectations. Industrial production rebounded significantly and capacity utilization improved, but household consumption, real estate, and fixed - asset investment were drags [2] - After the Fourth Plenary Session of the 20th CPC Central Committee and the deepening of local state - owned "three - capital" management, the A - share market showed positive performance. A - share trading volume shrank to less than 2 trillion per day, and the margin balance rebounded, with each index rising between 2.9% - 4% on the weekly line [2] - This week, the basis of each variety fluctuated less, and the overall discount narrowed compared to last week. As of Friday, the annualized discounts of IF, IC, and IM converged to around 2.6%, 8.9%, and 11.4% respectively [2] Group 3: Summary by Related Catalogs This Week's Review - International relations news affected market sentiment. For example, the US's signal of easing relations led to a rapid decline in gold prices, and the economic consultations among China, the US, and Malaysia led to a rapid rebound in the A - share market driven by the Hong Kong stock market [2] - China's Q3 GDP growth met expectations. Industrial production and capacity utilization improved, but household consumption, real estate, and fixed - asset investment were negative factors [2] - After the Fourth Plenary Session of the 20th CPC Central Committee and local state - owned "three - capital" management deepening, the A - share market was positive. Trading volume shrank, margin balance rebounded, and each index rose on the weekly line. The ChiNext and STAR Market rebounded strongly [2] - The basis of each variety fluctuated less this week, and the overall discount narrowed compared to last week. The term structure of near - month contracts moved down slightly, with little change compared to last week, and diversified hedging can be maintained [2] Forecast Conclusion - The model predicts that the basis of IH, IF, IC, and IM will move in the directions of weakening, strengthening, weakening, and weakening respectively next week [4]

证券研究报告·金融工程报告 2025 年 10 月 24 日 江海证券研究发展部 金融工程定期报告 金融工程研究组 A 股市场快照：宽基指数每日投资动态 2025.10.24 ◆市场表现：2025 年 10 月 23 日, 各宽基指数（表 1）涨跌各现，其中上证 50（0.56%） 分析师：梁俊炜 投资要点： 执业证书编号：S1410524090001 A 股市场快照：宽基指数每日投资动 A 股市场快照：宽基指数每日投资动 和沪深 300（0.3%）涨幅最大，而中证 2000（-0.22%）和中证 1000（-0.06%）下跌。 当年涨跌情况，创业板指（42.99%）涨幅最大，其次是中证 2000（29.71%）和中 证 500（24.75%），中证全指（21.52%）和沪深 300（17.06%）涨幅扩大，而上证 50（12.74%）涨幅最小。另外，上证 50、沪深 300、中证 1000 和中证全指连续三 日连阳，中证 2000 连续四日连阳。 ◆均线比较：所有跟踪指数仍在 5 日均线之上，中证全指突破 10 日均线。上证 50 达到近 250 日高位。 ◆资金占比与换手：2025 年 10 月 23 日 ...

- The report introduces the **RSI (Relative Strength Index)** as a quantitative factor, which measures the average price gains and losses over a 12-day period to assess market conditions. The formula is: $ RSI = 100 - 100 / (1 + RS) $ where RS represents the ratio of average gains to average losses over the specified period. RSI values above 70 indicate an overbought market, while values below 30 suggest an oversold market[2][4] - Another quantitative factor discussed is **Net Purchase Amount (NETBUY)**, which calculates the net inflow or outflow of funds for ETFs. The formula is: $ NETBUY(T) = NAV(T) - NAV(T-1) * (1 + R(T)) $ Here, NAV(T) is the net asset value of the ETF on day T, NAV(T-1) is the net asset value on the previous day, and R(T) is the return rate on day T[2][4] - The report provides detailed tracking of **ETF performance metrics**, including daily price trends, institutional holdings, and transaction volumes, which are used to evaluate the effectiveness of the ETFs in tracking their respective indices[2][4] - The report evaluates the **RSI factor** as a useful tool for identifying market conditions, particularly overbought and oversold states, which can guide trading decisions[2][4] - The **Net Purchase Amount factor** is highlighted for its ability to measure fund flows, providing insights into investor sentiment and market dynamics[2][4] - The report includes specific RSI values for various ETFs, such as: - **华泰柏瑞沪深300ETF**: RSI = 56.06[4] - **易方达沪深300ETF**: RSI = 55.49[4] - **华夏上证50ETF**: RSI = 62.44[4] - **南方中证银行ETF**: RSI = 67.26[4] - **华安三菱日联日经225ETF**: RSI = 73.34[4] - Net Purchase Amount values for selected ETFs include: - **华泰柏瑞沪深300ETF**: NETBUY = -12.68 billion[4] - **易方达沪深300ETF**: NETBUY = -5.66 billion[4] - **华夏上证50ETF**: NETBUY = -0.24 billion[4] - **南方中证银行ETF**: NETBUY = -1.69 billion[4] - **华安三菱日联日经225ETF**: NETBUY = -0.23 billion[4] - The report emphasizes the importance of these factors in understanding market trends and making informed investment decisions[2][4]