Group 1 - The People's Bank of China has a total of 16,563 billion yuan in reverse repos maturing this week, with specific maturities of 1,707 billion, 2,148 billion, 1,505 billion, 3,310 billion, and 7,893 billion yuan from Monday to Friday [1] - The central bank conducted a net injection of 3,251 billion yuan today through a 4,958 billion yuan 7-day reverse repo operation at an interest rate of 1.40%, unchanged from previous rates [1] - The yield on the 30-year government bond "25 Super Long Special Government Bond 02" decreased by 2 basis points to 1.9275%, while the 10-year policy bank bond "25 Policy Bank 10" yield fell by 1.75 basis points to 1.81% [1] Group 2 - As of July 25, 2025, the 5-10 year government bond ETF has seen a net value increase of 19.81% over the past five years, with a maximum monthly return of 2.58% since inception and a longest consecutive monthly gain of 10 months [2] - The historical performance shows a profit percentage of 100.00% annually, with a monthly profit probability of 72.37% and a 100.00% probability of profit over a three-year holding period [2] Group 3 - The maximum drawdown for the 5-10 year government bond ETF this year is 2.15%, with a relative benchmark drawdown of 0.59% [3] - The management fee for the ETF is 0.15%, and the custody fee is 0.05% [3] Group 4 - The tracking error for the 5-10 year government bond ETF over the past two months is 0.032%, closely tracking the CSI 5-10 Year Government Bond Active Index [4] - The index includes bonds with maturities of 5, 7, and 10 years, selected from the market to reflect the overall performance of these government bonds [4]

Core Viewpoint - The report provides an overview of the performance and management of the Southern Shenzhen Component Exchange-Traded Fund (ETF) linked fund for the second quarter of 2025, highlighting its investment strategy, financial indicators, and net asset value performance. Fund Product Overview - The fund is a passive index fund that aims to closely track the Shenzhen Component Index by investing at least 90% of its net asset value in the Shenzhen Component ETF [2][5]. - The fund's investment strategy includes not participating in the management of the underlying ETF and aims to minimize tracking deviation and error [2][5]. Financial Indicators and Fund Performance - As of the end of the reporting period (June 30, 2025), the total fund shares amounted to 202,967,196.99 [2]. - The net asset value (NAV) for the A share was 0.9706 yuan, with a net value growth rate of 0.46%, while the C share had an NAV of 0.9402 yuan and a growth rate of 0.35% [13]. - The performance benchmark for the fund showed a growth rate of -0.32% during the same period [13]. Investment Strategy - The fund employs a complete replication method to track the performance of the underlying index, adjusting its portfolio based on changes in the index's constituent stocks and their weights [5][6]. - The fund's management has implemented various systems to control tracking error and ensure safe operations, including an "index trading system" and "intraday timing trading model" [11][12]. Investment Portfolio Report - The fund's total assets included 1,859,059.25 yuan in stocks and 1,205,488.89 yuan in bonds, with the stock allocation representing 0.93% of total assets [15]. - The fund's investments were diversified across various sectors, with manufacturing being the largest sector represented [15]. Fund Share Changes - The total shares of the A share decreased from 160,166,197.95 to 156,610,601.50 during the reporting period, while the C share decreased from 49,651,952.12 to 46,356,595.49 [18].

Group 1 - The recent rise in equity market sentiment has led to a narrow fluctuation in the bond market, with 10-year and 30-year government bonds struggling to break previous lows, while credit bonds and local government bonds are performing relatively strongly, indicating that compressing yield spreads is becoming a less obstructive direction in an unclear benchmark interest rate environment [1] - As of July 18, 2025, the active bond index for 5-10 year government bonds has decreased by 0.02%, while the government bond ETF for the same duration has seen a recent price of 117.55 yuan, with a nearly 1-year cumulative increase of 5.06% [3] - The government bond ETF for 5-10 years has a recent trading volume of 16.18 billion yuan, with an active market turnover rate of 108.29%, and an average daily trading volume of 7.40 billion yuan over the past month [3] Group 2 - The government bond ETF for 5-10 years has a recent scale of 1.494 billion yuan, with net inflows and outflows remaining balanced, accumulating a total of 61.71 million yuan in inflows over the past 21 trading days [3] - The government bond ETF for 5-10 years has achieved a net value increase of 21.14% over the past 5 years, with a maximum monthly return of 2.58% and a historical profitability rate of 100% over 3 years [3] - The Sharpe ratio for the government bond ETF for 5-10 years over the past 2 years is 1.26, with a maximum drawdown of 2.15% this year, and a management fee rate of 0.15% and a custody fee rate of 0.05% [4]

Core Viewpoint - The small-cap style continues to show strength in the market, with the CSI 2000 Enhanced ETF (159552) and the 1000 ETF Enhanced (159680) both reaching new highs since their listing, driven by macroeconomic trends and industry upgrades [1][2][5]. Group 1: Small-Cap Style Performance - The CSI 2000 Enhanced ETF (159552) achieved a net value growth rate of 29.18% in the first half of the year, ranking first among broad-based ETFs, with an excess return of nearly 14% [1]. - The small-cap index turnover rate was 2.1% as of June 27, indicating a relatively high trading congestion level, while the small-cap to large-cap index turnover ratio was approximately 4.1 times, close to historical averages [5]. - The current price-to-earnings (P/E) ratio of the small-cap index to the large-cap index is 2.2 times, positioned at the 72.5% percentile since 2015, suggesting a favorable valuation environment for small-cap stocks [5]. Group 2: Macroeconomic and Industry Trends - The macroeconomic direction and industry upgrade trends are key signals for the rotation between small and large-cap stocks, with small-cap stocks showing relative advantages during periods of technological innovation and policy encouragement [2][4]. - The ongoing favorable environment for small-cap stocks is supported by the thriving sectors of AI and semiconductors, as well as continued policy support for the development of new productive forces [5]. Group 3: Enhanced ETF Performance - The CSI 2000 Enhanced ETF (159552) has consistently delivered excess returns since its establishment on June 29, 2024, with each quarter showing excess returns exceeding 6% in the first two quarters of this year [6]. - The 1000 ETF Enhanced (159680) has also demonstrated significant enhancement effects, achieving a cumulative excess return of 33.10% since its inception on November 18, 2022, with an annualized excess return of 11.88% [9][11]. - Both enhanced ETFs have shown strong adaptability to different market conditions, capturing excess returns during both downward trends and upward surges [8][11].

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report The report focuses on the performance comparison benchmarks of domestic active bond funds. It analyzes the benchmark settings of various sub - types of active bond funds and their deviations in actual operations. After the release of the "Action Plan", some bond funds have adjusted their performance comparison benchmarks. The report also studies the correlation between funds and benchmarks, tracking errors, and excess returns [1][9]. 3. Summary According to the Table of Contents 3.1 Introduction On May 7, 2025, the CSRC issued the "Action Plan for Promoting the High - quality Development of Public Funds", emphasizing the importance of performance comparison benchmarks. The report, as the second in the series, will analyze the benchmark settings and actual operation deviations of domestic active bond funds [9]. 3.2 Active Bond Fund Performance Comparison Benchmark Characteristics - **Generalized Active Bond Fund Sample Selection**: As of May 7, 2025, 4191 generalized active bond funds in existence and with performance comparison benchmarks were selected as samples, with a total scale of 9.05 trillion yuan. The samples include 7 types of funds, and the medium - long - term pure - bond funds have the largest number and scale [9][10][12]. - **Performance Benchmark Composition Method**: The performance comparison benchmarks of active bond funds have various forms, mainly including single bond indexes or weighted composites of different indexes. The component indexes can be classified into 6 major categories, and the bond index can be further divided into 5 sub - types, while the stock index can be divided into 9 sub - types [13]. - **Performance Benchmark Commonly Used Indexes**: The top ten "main benchmark indexes" of medium - long - term pure - bond funds are mainly indexes compiled by ChinaBond. For example, the number of funds with ChinaBond - Composite Full Price (Total Value) Index as the main benchmark index is 964, accounting for 52.56%. The main benchmark indexes of convertible bond funds are mainly convertible bond indexes, with CSI Convertible Bond Index being the most used. The main benchmark indexes of fixed - income enhanced funds are mainly A - share market indexes such as CSI 300 Index [36][41][50]. - **Comparison of Commonly Used Index Clusters**: The ChinaBond index system is compiled by the Central Government Bond Depository Trust & Clearing Co., Ltd., and the CSI index system is compiled by CSI Index Co., Ltd. The component bond listing locations, remaining maturities, and credit ratings of ChinaBond and CSI indexes are different [54][57]. - **Weight Distribution of "Main Benchmark Indexes"**: For most active bond funds, the weights of ChinaBond - Composite Full Price (Total Value) Index and ChinaBond - Composite Wealth (Total Value) Index are mainly in the range of 90 - 100% for medium - long - term pure - bond funds, mixed bond - type first - level funds, and mixed bond - type second - level funds. The weights of equity indexes in the performance comparison benchmarks of mixed bond - type second - level funds, convertible bond - type funds, and partial - debt hybrid funds are relatively concentrated [62][66]. 3.3 Fund Performance and Benchmark Correlation and Other Analyses - **Correlation Analysis between Active Bond Funds and Their Benchmarks**: From 2022 to 2025, convertible bond - type funds, short - term pure - bond funds, medium - short - term pure - bond funds, medium - long - term pure - bond funds, and partial - debt hybrid funds have relatively high correlations with their performance comparison benchmarks, while mixed bond - type first - level funds and mixed bond - type second - level funds have relatively low correlations [72][73]. - **Tracking Error and Excess Return of Funds Relative to the Benchmark**: The average tracking error of pure - bond funds is less than that of products with embedded options. Among fixed - income enhanced bond funds, first - level bond funds have lower tracking errors, second - level bond funds and partial - debt hybrid funds are relatively close, and convertible bond funds have the highest and most volatile tracking errors. Most pure - bond funds can outperform the benchmark in most years, and the average outperformance is within 2%. Among fixed - income enhanced funds, partial - debt hybrid funds have relatively high average excess returns [3][78]. - **Distribution of Fund Types with Significant Underperformance against the Benchmark**: Pure - bond funds have relatively small deviations from the benchmark and a low proportion of significant underperformance. The performance of fixed - income enhanced funds is related to the selected time interval and the performance of the equity market. In the long - term, active bond funds have the ability to obtain positive excess returns relative to the benchmark, but there are significant performance differences within each type of fund [3].

Core Viewpoint - The China Securities Regulatory Commission (CSRC) released the "Action Plan for Promoting the High-Quality Development of Public Funds," which outlines 25 specific measures aimed at enhancing the quality of the public fund industry, marking a significant reform milestone in the asset management sector [1] Group 1: Impacts of the Action Plan on the Public Fund Industry - The introduction of a floating management fee mechanism linked to fund performance may lead to significant differences in management fees among fund companies within the same tier, with top firms expected to issue at least 60% of their actively managed equity funds under this new structure [2] - The focus on performance benchmarks will drive fund companies to explore how to outperform these benchmarks, with strict performance evaluations for fund managers tied to their ability to meet or exceed these benchmarks [3][4] - The emphasis on performance benchmarks will encourage a more objective assessment of fund managers' performance, potentially correcting investor biases in evaluating growth and value style fund managers [5] Group 2: Future Paths for Public Funds - Active equity funds will need to control tracking error effectively, with an optimal threshold identified at 8%, as exceeding this level has historically correlated with significant underperformance against benchmarks [10][11] - Fund companies should prioritize the creation of low-volatility products and those with high Sharpe ratios, as these are associated with better investor outcomes and lower loss rates [12][14] - A shift towards a more advisory-based sales model is recommended, moving away from chasing market trends to better align with investor needs and enhance trust in fund management [15][16]

Core Viewpoint - The article discusses the growing popularity of index funds in recent years, highlighting their advantages such as diversification, transparency, ease of trading, and lower costs, while also noting the limitations tied to the performance of the underlying index [1][2]. Summary by Sections Understanding Index Funds - Index funds are designed to track specific indices, which are composed of a basket of stocks selected based on certain criteria. For example, the CSI 300 index includes the top 300 stocks based on market capitalization and liquidity [5]. - There are two main types of index funds: broad-based index funds that cover multiple sectors and narrow-based index funds that focus on specific industries, which can present more volatility and trading opportunities [5]. Selection of Index Funds - When selecting index funds, it is important to understand the difference between fully replicated index funds, which passively track an index, and enhanced index funds, which incorporate some active management to potentially achieve excess returns [7][8]. - Key performance indicators for enhanced index funds include tracking error and information ratio, which help assess the fund manager's ability to generate excess returns while managing risk [8]. Investment Strategy - The article emphasizes the importance of aligning investment goals with the type of index fund chosen. For instance, broad-based index funds may not be suitable for investors seeking to significantly outperform the market, while they can be a good option for those looking to match market performance with less effort [9]. - A new index-enhanced fund, the Zhongtai CSI A500 Index Enhanced Fund, is currently being launched, encouraging potential investors to understand the underlying index and the fund manager's strategy before investing [10][13].