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ETF策略指数跟踪周报-20251201
HWABAO SECURITIES· 2025-12-01 06:54
1. Report Industry Investment Rating - No relevant content provided 2. Core Viewpoints of the Report - The report presents several ETF strategy indices constructed with the help of ETFs and tracks their performance and positions on a weekly basis, including the Huabao Research Small - Large Cap Rotation ETF Strategy Index, Huabao Research SmartBeta Enhanced ETF Strategy Index, etc [12] 3. Summary by Relevant Catalogs 3.1 ETF Strategy Index Tracking - **Performance of ETF Strategy Indices Last Week**: The Huabao Research Small - Large Cap Rotation ETF Strategy Index had a return of 1.65%, with a benchmark return of 2.04% and an excess return of - 0.39%; the Huabao Research SmartBeta Enhanced ETF Strategy Index had a return of 5.13%, with a benchmark return of 2.04% and an excess return of 3.10%; the Huabao Research Quantitative Fire - Wheel ETF Strategy Index had a return of 0.58%, with a benchmark return of 2.04% and an excess return of - 1.46%; the Huabao Research Quantitative Balancing Act ETF Strategy Index had a return of 0.84%, with a benchmark return of 1.64% and an excess return of - 0.80%; the Huabao Research Hot - Spot Tracking ETF Strategy Index had a return of 1.98%, with a benchmark return of 2.82% and an excess return of - 0.84%; the Huabao Research Bond ETF Duration Strategy Index had a return of - 0.16%, with a benchmark return of - 0.26% and an excess return of 0.09% [13] 3.2 Huabao Research Small - Large Cap Rotation ETF Strategy Index - **Strategy Principle**: It uses multi - dimensional technical indicator factors and a machine - learning model to predict the return difference between the Shenwan Large Cap Index and the Shenwan Small Cap Index. The model outputs signals weekly to predict the strength of the indices in the next week and determines positions based on the results to obtain excess returns relative to the market [14] - **Performance**: As of 2025/11/28, the excess return since 2024 was 19.93%, the excess return in the past month was 0.50%, and the excess return in the past week was - 0.39%. The return in the past week was 1.65%, - 2.39% in the past month, and 51.22% since 2024 [14][15] - **Position**: The position was 100% in the CSI 300ETF (fund code: 510300.SH) [18] 3.3 Huabao Research SmartBeta Enhanced ETF Strategy Index - **Strategy Principle**: It uses price - volume indicators to time self - built Barra factors and maps the timing signals to ETFs based on the exposure of ETFs to 9 major Barra factors to obtain returns exceeding the market. The selected ETFs cover mainstream broad - based index ETFs and some style and strategy ETFs [19] - **Performance**: As of 2025/11/28, the excess return since 2024 was 24.67%, the excess return in the past month was 7.70%, and the excess return in the past week was 3.10%. The return in the past week was 5.13%, 4.81% in the past month, and 55.96% since 2024 [19][20] - **Position**: The positions included 25.12% in the Science and Technology Innovation 100 ETF (fund code: 588220.SH), 25.03% in the Full Science and Technology Innovation Index ETF (fund code: 589600.SH), 24.96% in the ChiNext 200 ETF (fund code: 159270.SZ), and 24.90% in the ChiNext Comprehensive ETF (fund code: 159541.SZ) [23] 3.4 Huabao Research Quantitative Fire - Wheel ETF Strategy Index - **Strategy Principle**: It starts from multiple factors, including the grasp of medium - and long - term fundamental dimensions, the tracking of short - term market trends, and the analysis of the behaviors of various market participants. It uses valuation and crowding signals to indicate industry risks and multi - dimensionally digs out potential sectors to obtain excess returns relative to the market [23] - **Performance**: As of 2025/11/28, the excess return since 2024 was 33.97%, the excess return in the past month was 2.00%, and the excess return in the past week was - 1.46%. The return in the past week was 0.58%, - 0.89% in the past month, and 65.27% since 2024 [23][26] - **Position**: The positions included 21.02% in the Bank ETF (fund code: 512800.SH), 20.57% in the Oil and Gas ETF (fund code: 159697.SZ), 19.59% in the Securities and Insurance ETF (fund code: 512070.SH), 19.57% in the Power ETF (fund code: 159611.SZ), and 19.25% in the New Energy ETF (fund code: 516160.SH) [27] 3.5 Huabao Research Quantitative Balancing Act ETF Strategy Index - **Strategy Principle**: It uses a multi - factor system including economic fundamentals, liquidity, technical aspects, and investor behaviors to build a quantitative timing system for trend analysis of the equity market. It also establishes a prediction model for the market's small - and large - cap styles to adjust the position distribution in the equity market and comprehensively obtains excess returns relative to the market through timing and rotation [27] - **Performance**: As of 2025/11/28, the excess return since 2024 was - 9.55%, the excess return in the past month was 1.23%, and the excess return in the past week was - 0.80%. The return in the past week was 0.84%, - 1.23% in the past month, and 22.38% since 2024 [27][28] - **Position**: The positions included 9.38% in the Ten - Year Treasury Bond ETF (fund code: 511260.SH), 5.87% in the 500ETF Enhanced (fund code: 159610.SZ), 5.83% in the CSI 1000ETF (fund code: 512100.SH), 32.27% in the 300 Enhanced ETF (fund code: 561300.SH), 23.35% in the Policy - Financial Bond ETF (fund code: 511520.SH), and 23.30% in the Short - Term Financing ETF (fund code: 511360.SH) [30] 3.6 Huabao Research Hot - Spot Tracking ETF Strategy Index - **Strategy Principle**: It uses strategies such as market sentiment analysis, tracking of major industry events, investor sentiment and professional opinions, policy and regulatory changes, and historical deduction to timely track and dig out hot - spot index target products, construct an ETF portfolio that can capture market hot - spots, provide investors with references for short - term market trends, and help them make wiser investment decisions [30] - **Performance**: As of 2025/11/28, the excess return in the past month was 1.93%, and the excess return in the past week was - 0.84%. The return in the past week was 1.98%, - 0.36% in the past month [30][33] - **Position**: The positions included 35.39% in the Non - Ferrous Metals 50ETF (fund code: 159652.SZ), 24.30% in the Bosera Hong Kong Stock Dividend ETF (fund code: 513690.SH), 21.43% in the Hong Kong Stock Connect Pharmaceutical ETF (fund code: 513200.SH), and 18.88% in the Short - Term Financing ETF (fund code: 511360.SH) [34] 3.7 Huabao Research Bond ETF Duration Strategy Index - **Strategy Principle**: It uses bond market liquidity and price - volume indicators to select effective timing factors and predicts bond yields through machine - learning methods. When the expected yield is below a certain threshold, it reduces the long - duration positions in the bond investment portfolio to improve the long - term return and drawdown control ability of the portfolio [34] - **Performance**: As of 2025/11/28, the excess return in the past month was 0.24%, and the excess return in the past week was 0.09%. The return in the past week was - 0.16%, - 0.15% in the past month, 9.14% since 2024, and 23.25% since its establishment [34][35] - **Position**: The positions included 49.99% in the Ten - Year Treasury Bond ETF (fund code: 511260.SH), 25.01% in the Policy - Financial Bond ETF (fund code: 511520.SH), and 25.00% in the 5 - to 10 - Year Treasury Bond ETF (fund code: 511020.SH) [37]
策略周报:缩量修复之后,市场如何布局?-20251130
HWABAO SECURITIES· 2025-11-30 12:12
Group 1 - The bond market is entering a configuration phase, supported by year-end policy expectations, a loose funding environment, and institutional "early bird" allocations. However, profit-taking intentions among institutions are strong, suggesting that the bond allocation momentum at the end of 2025 may be weaker than in previous years. A trading strategy focused on swing trading is recommended, with the 10-year government bond futures yield around 1.83%, reflecting pessimistic expectations and limited room for significant upward movement. It is advised to gradually allocate high-yield, liquid quality credit bonds while managing overall duration risk, waiting for market sentiment recovery and value reassessment [1][11][12] Group 2 - The stock market is in a phase of consolidation, with a recent recovery showing a shrinking upward trend, indicating a decline in investor trading enthusiasm. In the absence of clear positive catalysts, the market is expected to enter a consolidation phase. As the year-end approaches, funding behavior may become more cautious, favoring stability and locking in annual returns, leading to significant structural characteristics in market opportunities. The upcoming Central Economic Work Conference in mid-December may provide a temporary catalyst, particularly in areas of technological innovation and industrial upgrading, suggesting a new window for allocation [2][12][13] Group 3 - The A-share market has shown significant recovery after a substantial adjustment, with a maximum drawdown from the peak. The rapid adjustment has released some risks, and there is a technical rebound demand in the market. Positive sentiment from the recent US-China presidential call has boosted market risk appetite, leading to a strong rebound in the stock market. Additionally, the rapid growth of Alibaba's AI assistant "Qianwen" has positively impacted AI-related stocks [9][12][13] Group 4 - The US stock market is expected to continue its recovery, with recent retail sales data indicating a marginal slowdown in US economic growth. The impact of tariffs on inflation appears limited, and the labor market remains weak. The upcoming release of the US October PCE core price index is expected to further confirm that tariffs have not significantly pressured inflation. In this context, a rate cut by the Federal Reserve in December is likely, with plans to formally end balance sheet reduction and continue injecting liquidity into the market, suggesting a trend towards a looser overall monetary environment [12][13]
新股发行及今日交易提示-20251128
HWABAO SECURITIES· 2025-11-28 08:16
New Stock Issuance - The new stock issued by Bai'ao Saitou (证券代码: 787796) is priced at 26.68 RMB per share[1] - Tianpu Co., Ltd. (证券代码: 605255) is undergoing a tender offer from November 20, 2025, to December 19, 2025[1] Market Alerts - Jianglong Shipbuilding (证券代码: 300589) has reported severe abnormal fluctuations in its stock price[1] - A total of 20 companies have been flagged for abnormal trading activities, indicating potential volatility in the market[2] Trading Information - The trading date for Bai'ao Saitou's new stock issuance is set for November 28, 2025[1] - Multiple companies, including Xinjing Road (证券代码: 000510) and Green Island Wind (证券代码: 301043), have recent announcements regarding their stock performance[1]
新股发行及今日交易提示-20251127
HWABAO SECURITIES· 2025-11-27 09:47
New Stock Listings - Nant Technology (920124) listed at an issue price of 8.66 on November 27, 2025[1] - Tianpu Co., Ltd. (605255) is in the offer period from November 20 to December 19, 2025[1] - Jianglong Shipbuilding (300589) and Huasheng Lithium Battery (688353) reported significant abnormal fluctuations[1] Abnormal Fluctuations - Multiple companies including ST Wanfang (000638) and ST Dongyi (002713) have reported abnormal trading activities[2] - Companies such as ST Suwu (600200) and ST Yanshan (000608) are also under scrutiny for unusual market behavior[3]
银行理财周度跟踪(2025.11.17-2025.11.23):理财子抢筹摊余债基,AI重塑理财生态-20251126
HWABAO SECURITIES· 2025-11-26 11:42
Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The industry is experiencing a shift in the main holders of amortized cost bond funds from banks to wealth management companies, which are increasingly viewing these funds as tools for reducing volatility in a low-interest and high-volatility environment [3][11][12] - The application of AI in the industry has progressed from initial human-machine interaction to a collaborative phase, with AI becoming a core component of business operations [3][17] - The report highlights the launch of a global commodity integration strategy index by a wealth management company, aiming to capture diverse returns through systematic allocation across various commodity strategies [4][18][19] Summary by Sections Regulatory and Industry Dynamics - The concentrated opening period for amortized cost bond funds is expected in Q4 2025 to Q1 2026, with a total opening scale exceeding 480 billion [11][10] - The transition of holders from banks to wealth management companies is driven by market changes and regulatory policies, leading to a shift in the underlying assets of these funds from government bonds to credit bonds [12][13] Peer Innovation Dynamics - A wealth management company has introduced a global commodity integration strategy index, which utilizes quantitative models for dynamic rebalancing to capture diverse risk factors in different market environments [18][19] - A partnership between a regional equity trading center and a wealth management company has successfully completed the first fund share transfer, marking a significant step for wealth management funds to enter the private equity investment field [20] Yield Performance - Cash management products recorded a 7-day annualized yield of 1.27%, a decrease of 2 basis points, while money market funds remained stable at 1.17% [21][23] - The bond market is currently experiencing a narrow fluctuation pattern, influenced by various factors including Federal Reserve interest rate expectations and market concerns regarding AI [24][25] Net Value Tracking - The net value ratio of bank wealth management products increased to 1.16%, up 0.43 percentage points, indicating a potential upward pressure on the net value ratio if credit spreads continue to widen [28][30]
新股发行及今日交易提示-20251126
HWABAO SECURITIES· 2025-11-26 09:41
Group 1: New Stock Offerings - Tianpu Co., Ltd. (605255) is undergoing a tender offer from November 20, 2025, to December 19, 2025[1] - Pingao Co., Ltd. (688227) has announced its latest updates on November 26, 2025[1] - Jianglong Shipbuilding (300589) released an announcement on November 24, 2025[1] Group 2: Significant Market Fluctuations - Huasheng Lithium Battery (688353) reported severe abnormal fluctuations on November 15, 2025[1] - HeFu China (603122) experienced significant market activity on November 13, 2025[1] - ST Keli Da (603828) had notable trading changes on November 12, 2025[1] Group 3: Recent Announcements - Guosheng Technology (603778) issued a notice on November 26, 2025[1] - ST Dongyi (002713) provided updates on November 26, 2025[1] - Jinfu Technology (003018) announced its latest developments on November 26, 2025[1]
ETF及指数产品网格策略周报-20251125
HWABAO SECURITIES· 2025-11-25 09:06
Group 1: Overview of Grid Trading Strategy - The essence of "grid trading" is a high buy low sell strategy, which does not predict market trends but utilizes natural price fluctuations within a certain range to generate profits, making it suitable for frequently fluctuating markets [3][12] - Characteristics of suitable grid trading targets include: selecting on-market targets, stable long-term trends, low trading costs, good liquidity, and high volatility, with equity ETFs being relatively appropriate for grid trading [3][12] Group 2: Analysis of ETF Grid Strategy Targets - The Hang Seng Innovation Drug ETF (520500.SH) focuses on China's innovative drug pipeline, which ranks second globally, with significant policy support enhancing commercialization and internationalization opportunities [3][13] - The Military Industry ETF (512560.SH) is expected to benefit from a new round of military procurement cycles driven by the "14th Five-Year Plan" and increasing defense budgets, which are projected to reach 1.81 trillion yuan in 2025, a 7.2% increase year-on-year [4][14] - The Wine ETF (512690.SH) is characterized by price fluctuations within a certain range and is currently at a historical low valuation, making it suitable for grid strategies, with a daily average fluctuation of 1.77% as of November 21, 2025 [5][17] - The Sci-Tech Chip Design ETF (588780.SH) aims to capitalize on the AI and domestic substitution trends, focusing on the design segment of the chip industry, which is crucial for technological independence and security [6][18]
新股发行及今日交易提示-20251125
HWABAO SECURITIES· 2025-11-25 07:58
New Stock Listings - Hai'an Group (Stock Code: 001233) listed at an issue price of 48.00 on November 25, 2025[1] Rights Offerings - Tianpu Co., Ltd. (Stock Code: 605255) has a tender offer period from November 20 to December 19, 2025[1] - Hangzhou Automobile Group (Stock Code: 200771) has a cash option declaration period from November 19 to November 25, 2025[1] Abnormal Fluctuations - Huasheng Lithium Battery (Stock Code: 688353) reported severe abnormal fluctuations on November 21, 2025[1] - Multiple companies including ST Keli Da (Stock Code: 603828) and ST Yanzhong (Stock Code: 000609) have reported abnormal fluctuations on November 21, 2025[2][3] Recent Announcements - A total of 41 announcements related to various companies were made on November 20, 2025, indicating significant market activity[3] - Companies such as Moen Electric (Stock Code: 002451) and Rongji Software (Stock Code: 002474) also made announcements on November 21, 2025[3]
公募基金泛固收指数跟踪周报(2025.11.17-2025.11.21):美联储降息预期摇摆,国内债市窄幅震荡-20251124
HWABAO SECURITIES· 2025-11-24 09:07
Report Summary 1. Report Industry Investment Rating No information provided regarding the report industry investment rating. 2. Core Viewpoints of the Report - Last week, the bond market remained volatile. The 1-year Treasury yield dropped 0.96BP to 1.40%, the 10-year yield slightly rose to 1.82%, and the 30-year yield increased 0.95BP to 2.16%. The short - end was stronger than the long - end, and there was no expected stock - bond "see - saw effect" [3][10]. - The short - term 10 - year Treasury yield may fluctuate between 1.75% - 1.85%. Investors can wait for the yield to reach the upper limit for potential increasing allocation opportunities [3][10]. - U.S. Treasury yields declined last week. The market's expectation of a December Fed rate cut has risen to about 70% after Fed official Williams' speech, but Fed officials' internal differences on further rate cuts are intensifying [11]. - The REITs market had a phased correction last week, with the data center, affordable housing, and warehousing logistics sectors leading the decline. There were also new developments in the primary market [11]. - E Fund's Ruyi Ying'an FOF raised over 5.8 billion yuan, and China Merchants Bank's "TREE Changying Plan" has helped expand the scale of medium - and low - risk FOFs [3][12]. 3. Summary by Relevant Catalogs 3.1 Weekly Market Observation 3.1.1 Pan - Fixed - Income Market Review and Observation - **Domestic Bond Market**: The domestic bond market was volatile last week. The short - end was stronger than the long - end, and there was no stock - bond "see - saw effect". The 10 - year Treasury yield may stay in the 1.75% - 1.85% range in the short term [10]. - **U.S. Bond Market**: U.S. Treasury yields declined last week. Fed officials' different views on rate cuts reflect internal differences, and the debate on further rate cuts continues [11]. - **REITs Market**: The REITs market had a phased correction last week. There were new developments in the primary market, with 3 new public REITs making progress [11]. 3.1.2 Public Fund Market Dynamics E Fund's Ruyi Ying'an 6 - month holding hybrid initiated (FOF) was established on November 19, 2025, with a fundraising scale of over 5.8 billion yuan. China Merchants Bank's "TREE Changying Plan" has contributed to the expansion of medium - and low - risk FOFs [12]. 3.2 Pan - Fixed - Income Fund Index Performance Tracking 3.2.1 Currency Enhancement Index Tracking - **Currency Enhancement Strategy Index**: Aims for liquidity management, targeting a curve that surpasses money market funds. It mainly invests in money market funds and inter - bank certificate of deposit index funds. The performance benchmark is the China Securities Money Fund Index [14]. 3.2.2 Pure Bond Index Tracking - **Short - Term Bond Fund Preferred Index**: Focuses on liquidity management, aiming for a smooth curve while controlling drawdowns. It selects 5 funds with stable long - term returns, strict drawdown control, and strong absolute return capabilities. The benchmark is 50% Short - Term Pure Bond Fund Index + 50% General Money Fund Index [18]. - **Medium - and Long - Term Bond Fund Preferred Index**: Seeks stable returns by investing in medium - and long - term pure bond funds. It aims for excess returns compared to the medium - and long - term bond fund index and a stable net value curve. It selects 5 funds, balancing coupon strategies and band operations, and adjusts duration and bond types according to market conditions [20]. 3.2.3 Fixed - Income + Index Tracking - **Low - Volatility Fixed - Income + Preferred Index**: The equity center is set at 10%. It selects 10 fixed - income + funds with an equity position (considering convertible bonds and stocks) within 15% in the past three years and recently. The benchmark is 10% CSI 800 Index + 90% ChinaBond New Composite Full - Price Index [22]. - **Medium - Volatility Fixed - Income + Preferred Index**: The equity center is 20%. It selects 5 fixed - income + funds with an equity position between 15% - 25% in the past three years and recently. The benchmark is 20% CSI 800 Index + 80% ChinaBond New Composite Full - Price Index [23]. - **High - Volatility Fixed - Income + Preferred Index**: The equity center is 30%. It selects 5 fixed - income + funds with an equity position between 25% - 35% in the past three years and recently. It focuses on funds with strong stock - picking ability in the equity part and no credit downgrading in the bond part. The benchmark is 30% CSI 800 Index + 70% ChinaBond New Composite Full - Price Index [26]. 3.2.4 Convertible Bond Fund Preferred Index It selects 5 convertible bond funds from a sample space of bond funds with a convertible bond investment ratio of at least 60% in the latest period and at least 80% on average in the past four quarters. It evaluates funds from multiple dimensions and selects the best - performing ones based on market conditions [30][31]. 3.2.5 QDII Bond Fund Preferred Index Tracking It selects 6 QDII bond funds with stable returns and good risk control, investing in overseas bonds in regions like the global market, Asia, and emerging markets, including investment - grade and high - yield products [31]. 3.2.6 REITs Fund Preferred Index Tracking It selects 10 REITs funds with stable operations, reasonable valuations, and some elasticity, based on the underlying assets of mature and high - quality infrastructure projects with relatively clear cash - flow expectations [35].
公募基金权益指数跟踪周报(2025.11.17-2025.11.21):市场共振避险升温,AI叙事回归基本面-20251124
HWABAO SECURITIES· 2025-11-24 07:43
Report Summary 1. Report Industry Investment Rating No information about the industry investment rating is provided in the report. 2. Core Viewpoints - Global market resonance led to collective adjustments in mainstream capital markets last week (2025.11.17 - 2025.11.21). Concerns about over - investment in AI and changes in monetary policy expectations triggered the market adjustment. The expectation of a Fed rate cut in December cooled significantly, reversing the previous trading logic based on a loose monetary environment and AI industry trends [2][12]. - In the AI field, before it forms a wide - spread commercial application that can generate stable cash flow, its infrastructure spending depends on the operating cash flow and debt financing of technology giants, which are closely related to pro - cyclical variables. The technology sector remains highly sensitive to the real economy and monetary policy [4][14]. - There is a significant divergence within the Fed regarding a December rate cut. Conflicting data has made the Fed's decision - making difficult, and the probability of a 25 - basis - point rate cut in December has fluctuated, causing the US Treasury yield to rise first and then fall [4][15]. 3. Summary by Directory 3.1 Weekly Market Observation 3.1.1 Equity Market Review and Observation - Last week, the Shanghai Composite Index fell 3.90%, the CSI 300 fell 3.77%, the CSI 500 fell 5.78%, and the ChiNext Index fell 6.15%. The daily average trading volume of the entire A - share market was 1859.7 billion, a decrease from the previous week [12]. - The market's concern about over - investment in AI and the change in monetary policy expectations triggered the market adjustment. Despite positive news from NVIDIA and Google, concerns about over - investment in AI persisted. The cooling expectation of a Fed rate cut in December reversed the previous trading logic [12]. - When the market focuses too much on the micro - details of growth stocks' immediate financial reports, it often indicates a stock price adjustment. The North American AI sector has fully priced in the high growth in 2026, but the growth prospect in 2027 is unclear [13]. - Google's new models verified the effectiveness of the Scaling Law, but the computing power suppliers still hold an irreplaceable position in the computing power market. Before AI forms a stable commercial model, its infrastructure spending is closely related to pro - cyclical variables [14]. - There is a divergence within the Fed on a December rate cut. Conflicting data has made the decision - making difficult, and the probability of a rate cut has fluctuated, causing the US Treasury yield to rise first and then fall [15]. 3.1.2 Public Fund Market Dynamics - The CSRC will optimize the ETF registration and listing review process, cancel the requirement to submit a letter of no objection from the stock exchange during the ETF registration process, and the Shanghai and Shenzhen Stock Exchanges have also modified their self - regulatory rules accordingly [5][16]. - For ETF products tracking mature indices, fund managers can directly apply to the CSRC for registration. For products with innovative elements, the exchange will evaluate whether to develop relevant ETF products. Fund managers should design products carefully to avoid problems such as unsuccessful fundraising [17]. 3.2 Active Equity Fund Index Performance Tracking | Index Classification | Last Week | Last Month | YTD | Since Inception | | --- | --- | --- | --- | --- | | Active Stock Fund Preferred | - 4.85% | - 2.96% | 32.19% | 33.26% | | Value Stock Fund Preferred | - 3.44% | - 0.16% | 16.91% | 17.00% | | Balanced Stock Fund Preferred | - 4.52% | - 2.67% | 26.11% | 23.35% | | Growth Stock Fund Preferred | - 6.08% | - 3.24% | 44.81% | 31.79% | | Pharmaceutical Stock Fund Preferred | - 6.07% | - 4.10% | 34.28% | 16.33% | | Consumption Stock Fund Preferred | - 3.51% | - 5.11% | 8.95% | 1.93% | | Technology Stock Fund Preferred | - 5.86% | - 5.09% | 37.94% | 40.10% | | High - end Manufacturing Stock Fund Preferred | - 8.53% | - 4.47% | 24.68% | 18.66% | | Cyclical Stock Fund Preferred | - 4.57% | - 3.41% | 21.36% | 12.79% | 3.2.1 Active Stock Fund Preferred - Index positioning: 15 funds are selected in each period, with equal - weight allocation. Core positions are selected according to performance competitiveness and style stability in value, balanced, and growth styles, and the style distribution is roughly balanced according to the CSI Active Stock Fund Index [19]. - Performance benchmark: Active Stock Fund (930980.CSI) [20] 3.2.2 Value Stock Fund Preferred - Index positioning: The value style includes deep - value and quality - value styles. 10 funds of deep - value, quality - value, and balanced - value styles are selected to form the index [23]. - Performance benchmark: CSI 800 Value Index (H30356.CSI) [24] 3.2.3 Balanced Stock Fund Preferred - Index positioning: Balanced - style fund managers balance the valuation and growth of individual stocks and switch to stocks with higher cost - performance. 10 relatively balanced and value - growth style funds are selected to form the index [26][27]. - Performance benchmark: CSI 800 (000906.SH) [27] 3.2.4 Growth Stock Fund Preferred - Index positioning: Growth - style funds aim to capture the performance and valuation double - click opportunities of high - growth companies and挖掘 "dark - horse" companies. 10 active - growth, quality - growth, and balanced - growth style funds are selected to form the index [28]. - Performance benchmark: 800 Growth (H30355.CSI) [28] 3.2.5 Pharmaceutical Stock Fund Preferred - Index positioning: Funds are divided into industry themes based on the intersection market value of their equity holdings and the constituent stocks of the CITIC Pharmaceutical Index. 15 funds are selected to form the index after evaluation [31]. - Performance benchmark: Pharmaceutical Theme Fund Index (fitted by Huabao Fund Research and Investment Platform) [31] 3.2.6 Consumption Stock Fund Preferred - Index positioning: Funds are divided into industry themes based on the intersection market value of their equity holdings and the constituent stocks of relevant CITIC indices. 10 funds are selected to form the index after evaluation [31]. - Performance benchmark: Consumption Theme Fund Index (fitted by Huabao Fund Research and Investment Platform) [32] 3.2.7 Technology Stock Fund Preferred - Index positioning: Funds are divided into industry themes based on the intersection market value of their equity holdings and the constituent stocks of relevant CITIC indices. 10 funds are selected to form the index after evaluation [37]. - Performance benchmark: Technology Theme Fund Index (fitted by Huabao Fund Research and Investment Platform) [37] 3.2.8 High - end Manufacturing Stock Fund Preferred - Index positioning: Funds are divided into industry themes based on the intersection market value of their equity holdings and the constituent stocks of relevant CITIC indices. 10 funds are selected to form the index after evaluation [39]. - Performance benchmark: High - end Manufacturing Theme Fund Index (fitted by Huabao Fund Research and Investment Platform) [39] 3.2.9 Cyclical Stock Fund Preferred - Index positioning: Funds are divided into industry themes based on the intersection market value of their equity holdings and the constituent stocks of relevant CITIC indices. 5 funds are selected to form the index after evaluation [39]. - Performance benchmark: Cyclical Theme Fund Index (fitted by Huabao Fund Research and Investment Platform) [40]