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公募基金指数跟踪周报(2026.02.02-2026.02.06):节前震荡下行,风格短期切换-20260209
HWABAO SECURITIES· 2026-02-09 12:57
Report Overview - The report is a weekly update on public - offering funds from February 2, 2026, to February 6, 2026, analyzing the performance of the equity and fixed - income markets and various fund indices [1][3]. 1. Investment Rating - The report does not mention the industry investment rating. 2. Core Views - In the equity market, last week (2026.02.02 - 2026.02.06), major indices like the Shanghai Composite Index, CSI 300, and ChiNext Index declined. The A - share market's downward volatility increased due to global resource futures fluctuations and US tech giants' earnings announcements. The tech sector may face more pressure after the Two Sessions, while mid - stream industries with profitability repair and ROE improvement are worth attention [3][12]. - In the fixed - income market, the bond yield curve flattened last week. Short - term negative factors have been eliminated, so the bond market may not experience significant fluctuations. However, after the Spring Festival, the bond market's volatility may increase due to the active stock market and policy expectations [4][14]. 3. Summary by Directory 3.1 Weekly Market Observation 3.1.1 Equity Market - Last week, the Shanghai Composite Index fell 1.27%, the CSI 300 dropped 1.33%, and the ChiNext Index declined 3.28%. The A - share market's volatility increased, and the overall market sentiment cooled. The daily average trading volume of the whole A - shares was 24032 billion, a decrease from the previous week. Industry rotation was rapid, with resource - cycle sectors and power equipment being active. The tech - growth sector faced adjustment pressure [12]. - The value style strengthened due to low - level price rebounds and high - dividend defensive needs. The market is trading "event - driven prosperity improvement" and "assets with clear price signals." The tech sector may face more pressure after the Two Sessions, and mid - stream industries with profitability repair and ROE improvement should be focused on [13]. 3.1.2 Pan - Fixed - Income Market - Last week, the bond yield curve flattened. The 1 - year Treasury yield rose 1.80BP to 1.32%, the 10 - year yield fell 0.1BP to 1.81%, and the 30 - year yield dropped 3.8BP to 2.25%. The long - end yield continued to decline, and the term spread narrowed. The bond market was oscillating strongly. Some risk - averse funds may have flowed into the bond market due to stock market fluctuations, and the central bank actively provided liquidity. The local bond issuance was well - received, eliminating previous market concerns. However, after the Spring Festival, the bond market's volatility may increase [4][14]. - US Treasury yields declined last week. The 1 - year yield dropped 3BP to 3.45%, the 2 - year yield fell 2BP to 3.50%, and the 10 - year yield decreased 4BP to 4.22%. The employment market data showed a cooling trend, which led to the decline of the US Treasury yield curve. The CSI REITs Total Return Index fell 0.91% last week, and most sectors declined. Four new public - offering REITs made progress in the primary market [15]. 3.2 Fund Index Performance Tracking 3.2.1 Equity Fund Index Performance | Index Classification | Last Week | Last Month | Since the Beginning of this Year | Since Strategy Implementation | | --- | --- | --- | --- | --- | | Active Stock Fund Selection | - 2.20% | 3.82% | 7.86% | 55.05% | | Value Stock Fund Selection | - 0.24% | 3.64% | 6.91% | 29.34% | | Balanced Stock Fund Selection | - 1.81% | 2.25% | 6.04% | 37.83% | | Growth Stock Fund Selection | - 2.65% | 3.40% | 8.12% | 56.09% | | Pharmaceutical Stock Fund Selection | - 0.85% | - 5.45% | 3.27% | 15.22% | | Consumption Stock Fund Selection | - 0.57% | 1.17% | 4.13% | 9.11% | | Technology Stock Fund Selection | - 1.98% | 1.83% | 6.27% | 62.66% | | High - end Manufacturing Stock Fund Selection | - 3.30% | 1.58% | 7.39% | 42.12% | | Cyclical Stock Fund Selection | - 3.76% | 4.70% | 9.95% | 43.97% | [17] 3.2.2 Pan - Fixed - Income Fund Index Performance | Index Classification | Last Week | Last Month | Since the Beginning of this Year | Since Strategy Implementation | | --- | --- | --- | --- | --- | | Money - enhancing Index | 0.03% | 0.12% | 0.14% | 4.63% | | Short - term Bond Fund Selection | 0.04% | 0.15% | 0.17% | 4.79% | | Medium - and Long - term Bond Fund Selection | 0.09% | 0.45% | 0.42% | 7.25% | | Low - volatility Fixed - income + Fund Selection | - 0.04% | 0.51% | 0.95% | 5.56% | | Medium - volatility Fixed - income + Fund Selection | - 0.63% | 0.42% | 1.15% | 7.54% | | High - volatility Fixed - income + Fund Selection | - 0.23% | 0.69% | 1.65% | 9.98% | | Convertible Bond Fund Selection | - 0.20% | 3.63% | 6.68% | 32.56% | | QDII Bond Fund Selection | - 0.26% | - 0.13% | - 0.18% | 9.82% | | REITs Fund Selection | - 1.86% | 2.19% | 3.77% | 35.61% | [18] 3.3 Index Positioning and Benchmarks 3.3.1 Equity Strategy Theme Index - Active Stock Fund Selection Index: Selects 15 funds each period, with equal - weight allocation. The core position selects active equity funds based on performance competitiveness and style stability, and the style distribution is balanced according to the CSI Equity - oriented Fund Index. The benchmark is the CSI Equity - oriented Fund Index [19]. 3.3.2 Investment Style Index - Value Stock Fund Selection Index: Selects 10 funds with deep - value, quality - value, and balanced - value styles. The benchmark is the CSI 800 Value Index [19]. - Balanced Stock Fund Selection Index: Selects 10 funds with relatively balanced and value - growth styles. The benchmark is the CSI 800 [21]. - Growth Stock Fund Selection Index: Selects 10 funds with active - growth, quality - growth, and balanced - growth styles. The benchmark is the 800 Growth Index [25]. 3.3.3 Industry Theme Index - Pharmaceutical Stock Fund Selection Index: Selects 15 funds based on the intersection market value ratio of fund equity holdings and the representative index (CITIC Pharmaceutical). The benchmark is the pharmaceutical theme fund index [27]. - Consumption Stock Fund Selection Index: Selects 10 funds based on the intersection market value ratio of fund equity holdings and representative indices (CITIC Automobile, Home Appliances, etc.). The benchmark is the consumption theme fund index [31]. - Technology Stock Fund Selection Index: Selects 10 funds based on the intersection market value ratio of fund equity holdings and representative indices (CITIC Electronics, etc.). The benchmark is the technology theme fund index [34]. - High - end Manufacturing Stock Fund Selection Index: Selects 10 funds based on the intersection market value ratio of fund equity holdings and representative indices (CITIC Construction, etc.). The benchmark is the high - end manufacturing theme fund index [35]. - Cyclical Stock Fund Selection Index: Selects 5 funds based on the intersection market value ratio of fund equity holdings and representative indices (CITIC Petrochemical, etc.). The benchmark is the cyclical theme fund index [39]. 3.3.4 Money - enhancing Index - Money - enhancing Strategy Index: Aims for liquidity management, pursues a curve that exceeds money - market funds. It mainly allocates money - market funds and inter - bank certificate of deposit index funds. The benchmark is the CSI Money - market Fund Index [42]. 3.3.5 Pure - Bond Index - Short - term Bond Fund Selection Index: Aims for liquidity management, ensures drawdown control, and pursues a smooth - upward curve. It selects 5 funds with stable long - term returns, strict drawdown control, and significant absolute - return ability. The benchmark is 50% * Short - term Pure - Bond Fund Index+50% * Ordinary Money - market Fund Index [44]. - Medium - and Long - term Bond Fund Selection Index: Invests in medium - and long - term pure - bond funds, pursues stable returns while controlling drawdowns. It selects 5 funds each period, balancing coupon strategies and band - trading operations, and adjusts the ratio of credit - bond funds and interest - rate - bond funds according to market conditions [47]. 3.3.6 Fixed - income + Index - Low - volatility Fixed - income + Fund Selection Index: The equity central position is 10%, selects 10 funds with an equity central position within 15% in the past three years and recently. The benchmark is 10% CSI 800 Index+90% ChinaBond New Composite Full - price Index [51]. - Medium - volatility Fixed - income + Fund Selection Index: The equity central position is 20%, selects 5 funds with an equity central 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 [51]. - High - volatility Fixed - income + Fund Selection Index: The equity central position is 30%, selects 5 funds with an equity central position between 25% - 35% in the past three years and recently. The benchmark is 30% CSI 800 Index+70% ChinaBond New Composite Full - price Index [55]. 3.3.7 Other Pan - Fixed - Income Index - Convertible Bond Fund Selection Index: Selects 5 funds from a sample space of bond - type funds with a convertible - bond investment ratio of at least 60% in the latest period and at least 80% in the past four quarters, based on an evaluation system [58]. - QDII Bond Fund Selection Index: Selects 6 funds with stable returns and good risk control based on credit and duration conditions [60]. - REITs Fund Selection Index: Selects 10 funds with stable operation, reasonable valuation, and certain elasticity based on the underlying asset type [61].
ETF策略指数跟踪周报-20260209
HWABAO SECURITIES· 2026-02-09 10:24
Report Industry Investment Rating - Not mentioned in the report Core Viewpoints - By leveraging ETFs, it is convenient to transform quantitative models or subjective viewpoints into practical investment strategies. The report presents several ETF - based strategy indices and tracks their performance and holdings on a weekly basis [12] Summary by Relevant Catalog 1. ETF Strategy Index Tracking - **Overall Performance**: The table shows the performance of various ETF strategy indices last week. The "Huabao Research Small and Large - Cap Rotation ETF Strategy Index" had a weekly return of - 2.57%, a benchmark return of - 1.72%, and an excess return of - 0.85%. The "Huabao Research Quantitative Fire - Wheel ETF Strategy Index" had a weekly return of - 2.71%, a benchmark return of - 1.72%, and an excess return of - 0.99%. The "Huabao Research Quantitative Balance Art ETF Strategy Index" had a weekly return of - 0.44%, a benchmark return of - 1.33%, and an excess return of 0.90%. The "Huabao Research SmartBeta Enhanced ETF Strategy Index" had a weekly return of - 5.17%, a benchmark return of - 1.72%, and an excess return of - 3.45%. The "Huabao Research Hot - Spot Tracking ETF Strategy Index" had a weekly return of - 4.02%, a benchmark return of - 1.56%, and an excess return of - 2.46%. The "Huabao Research Bond ETF Duration Strategy Index" had a weekly return of 0.14%, a benchmark return of 0.14%, and an excess return of 0.00% [13] 1.1 Huabao Research Small and Large - Cap Rotation ETF Strategy Index - **Strategy**: 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 holdings accordingly to obtain excess returns relative to the market [14][3] - **Performance**: As of February 6, 2026, the excess return since 2024 was 27.39%, the excess return in the past month was 1.49%, and the excess return in the past week was - 0.85%. The recent week's return was - 2.57%, the recent month's return was 0.06%, and the return since 2024 was 66.67%. The benchmark (CSI 800) had a recent - week return of - 1.72%, a recent - month return of - 1.43%, and a return since 2024 of 39.28% [14][18] - **Holdings**: As of February 6, 2026, it held 50% of the "CSI 500ETF" (fund code 159922.SZ) and 50% of the "CSI 1000ETF" (fund code 512100.SH) [18] 1.2 Huabao Research SmartBeta Enhanced ETF Strategy Index - **Strategy**: It uses price - volume indicators to time self - built Barra factors and maps timing signals to ETFs based on their exposures to 9 major Barra factors to achieve returns exceeding the market. The selected ETFs cover mainstream broad - based index ETFs and some style and strategy ETFs [17][18] - **Performance**: As of February 6, 2026, the excess return since 2024 was 14.21%, the excess return in the past month was - 3.36%, and the excess return in the past week was - 3.45%. The recent week's return was - 5.17%, the recent month's return was - 4.79%, and the return since 2024 was 53.50%. The benchmark (CSI 800) had a recent - week return of - 1.72%, a recent - month return of - 1.43%, and a return since 2024 of 39.28% [18][19] - **Holdings**: As of February 6, 2026, it held 25.28% of the "Western Capital Growth Enterprise Market Large - Cap ETF" (fund code 159814.SZ), 25.10% of the "Huaxia Science and Technology Innovation Comprehensive Index ETF" (fund code 589000.SH), 24.82% of the "Science and Technology Innovation 50ETF" (fund code 588000.SH), and 24.80% of the "E Fund Science and Technology Innovation and Growth Enterprise Market ETF" (fund code 159781.SZ) [18][21] 1.3 Huabao Research Quantitative Fire - Wheel ETF Strategy Index - **Strategy**: It starts from a multi - factor perspective, 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 potential sectors to obtain excess returns relative to the market [21][4] - **Performance**: As of February 6, 2026, the excess return since 2024 was 48.59%, the excess return in the past month was 5.45%, and the excess return in the past week was - 0.99%. The recent week's return was - 2.71%, the recent month's return was 4.02%, and the return since 2024 was 87.87%. The benchmark (CSI 800) had a recent - week return of - 1.72%, a recent - month return of - 1.43%, and a return since 2024 of 39.28% [21][23] - **Holdings**: As of February 6, 2026, it held 20.66% of the "E Fund Securities and Insurance ETF" (fund code 512070.SH), 20.05% of the "Steel ETF" (fund code 515210.SH), 19.97% of the "Penghua Petroleum ETF" (fund code 159697.SZ), 19.66% of the "Electronic ETF" (fund code 159997.SZ), and 19.65% of the "Chemical Industry ETF" (fund code 159870.SZ) [26] 1.4 Huabao Research Quantitative Balance Art ETF Strategy Index - **Strategy**: It uses a multi - factor system including economic fundamentals, liquidity, technical aspects, and investor behavior factors 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 equity market position distribution and comprehensively obtains excess returns relative to the market through timing and rotation [25] - **Performance**: As of February 6, 2026, the excess return since 2024 was - 8.96%, the excess return in the past month was 2.38%, and the excess return in the past week was 0.90%. The recent week's return was - 0.44%, the recent month's return was - 0.04%, and the return since 2024 was 26.37%. The benchmark (CSI 300) had a recent - week return of - 1.33%, a recent - month return of - 2.42%, and a return since 2024 was 35.34% [25][26] - **Holdings**: As of February 6, 2026, it held 9.11% of the "10 - Year Treasury Bond ETF" (fund code 511260.SH), 6.50% of the "500ETF Enhanced" (fund code 159610.SZ), 6.26% of the "CSI 1000ETF" (fund code 512100.SH), 32.94% of the "Guotai CSI 300 Enhanced ETF" (fund code 561300.SH), 22.64% of the "Policy - Financial Bond ETF" (fund code 511520.SH), and 22.55% of the "Haifutong Short - Term Financing ETF" (fund code 511360.SH) [28] 1.5 Huabao Research Hot - Spot Tracking ETF Strategy Index - **Strategy**: It uses strategies such as market sentiment analysis, industry major event tracking, investor sentiment and professional opinions, policy and regulatory changes, and historical deduction to track and dig hot - spot index target products in a timely manner, constructing an ETF portfolio that can capture market hotspots in time to provide investors with references for short - term market trends and help them make more informed investment decisions [28][5] - **Performance**: As of February 6, 2026, the excess return in the past month was 2.05%, and the excess return in the past week was - 2.46%. The recent week's return was - 4.02%, the recent month's return was 1.15%. The benchmark (CSI All - Share Index) had a recent - week return of - 1.56% and a recent - month return of - 0.90% [28][31] - **Holdings**: As of February 6, 2026, it held 41.13% of the "Huitianfu Non - Ferrous Metals ETF" (fund code 159652.SZ), 23.13% of the "Bosera Hong Kong Stock Dividend ETF" (fund code 513690.SH), 18.44% of the "E Fund Hong Kong - Stock Connect Pharmaceutical ETF" (fund code 513200.SH), and 17.30% of the "Haifutong Short - Term Financing ETF" (fund code 511360.SH) [31][32] 1.6 Huabao Research Bond ETF Duration Strategy Index - **Strategy**: It uses bond market liquidity indicators and price - volume indicators to screen effective timing factors and predicts bond yields through machine learning. When the expected yield is below a certain threshold, it reduces the long - duration positions in the bond investment portfolio to improve the portfolio's long - term returns and drawdown control ability [32] - **Performance**: As of February 6, 2026, the excess return in the past month was 0.29%, and the excess return in the past week was 0.00%. The recent week's return was 0.14%, the recent month's return was 0.76%, the return since 2024 was 9.76%, and the return since its establishment was 23.95%. The benchmark (ChinaBond Aggregate Index) had a recent - week return of 0.14%, a recent - month return of 0.47%, a return since 2024 of 3.26%, and a return since its establishment of 7.55% [32][33] - **Holdings**: As of February 6, 2026, it held 50.03% of the "10 - Year Treasury Bond ETF" (fund code 511260.SH), 24.99% of the "Policy - Financial Bond ETF" (fund code 511520.SH), and 24.98% of the "5 - to 10 - Year Treasury Bond ETF" (fund code 511020.SH) [32][35]
策略周报:节前求稳,节后谋进-20260208
HWABAO SECURITIES· 2026-02-08 14:17
Group 1 - The bond market is expected to remain stable before the Spring Festival, with a potential shift in market logic after the holiday, as economic recovery and policy expectations may influence bond market sentiment [1][12] - The 10-year government bond yield may drop below 1.80%, with a possible gradual decline in the volatility center from around 1.85% to approximately 1.80% in February [1][12] - If the 10-year government bond yield breaks below 1.80%, it is advisable to consider taking profits near 1.77%, while a rebound to 1.84%-1.85% could present a small-scale buying opportunity [1][12] Group 2 - The stock market is experiencing early and rapid spring momentum, but regulatory guidance is leading to a more rational market [2][15] - Due to increased volatility in asset prices, some funds are adopting a more cautious trading approach, and profit-taking intentions are rising [2][15] - It is recommended to consider taking profits or shifting to a more conservative style before the Spring Festival, with potential opportunities in low-valuation sectors like consumption and real estate after the holiday [2][15] Group 3 - The overseas market shows earnings support, but stock volatility risks remain, with approximately 78% of S&P 500 companies exceeding earnings expectations [15][26] - Concerns over the "AI" bubble may lead to volatility in the U.S. stock market, especially if labor market data continues to show weakness [15][26] - The upcoming release of key economic data, including U.S. non-farm payrolls and inflation figures, will be crucial for market direction [30]
2026年2月资产配置报告:理性降温,风格暂回稳健
HWABAO SECURITIES· 2026-02-05 05:36
证券研究报告——宏观策略月报 理性降温,风格暂回稳健 ——2026年2月资产配置报告 HWABAO SECURITIES 2026年2月5日 分析师: 蔡梦苑(执业证书编号:S0890521120001) 分析师: 郝一凡(执业证书编号:S0890524080002) 分析师: 刘 芳(执业证书编号:S0890524100002) ► 请仔细阅读报告结尾处风险提示及免责声明 宏观主线梳理 | | | 宏观主线梳理 | | --- | --- | --- | | | Ø | 美国劳动力延续疲弱,美联储短期或维持利率不变,缩表落地概率较低 美国劳动力市场疲软,通胀温和 | | | u | 12月新增非农人数走弱、前期数据下修,与失业率"虚低"并存,这共同指向劳动力市场状况正在仍在恶化。 | | | u | 12月通胀温和,反映了先前市场担忧的关税传导效应,其影响可能是"一次性"的。未来通胀更多取决于租房价格服务业和能源 | | 海外宏观 | | 价格,整体相对温和可控。 | | | Ø | 美联储短期或维持利率不变,缩表落地概率较低 | | | u | 美联储在1月FOMC会议上维持政策利率不变,且表态偏鹰。考虑 ...
银行理财周度跟踪(2026.1.26-2026.2.1):银行存续理财持续压降,理财“收益打榜”再获关注
HWABAO SECURITIES· 2026-02-04 13:25
Investment Rating - The report does not explicitly provide an investment rating for the industry [2]. Core Insights - The scale of bank wealth management products continues to shrink, with a significant reduction in the number of banks and the total value of existing products [3][10]. - There is a growing consensus in the market regarding the transformation towards agency sales, as banks face regulatory pressures to reduce their wealth management business [10][11]. - The phenomenon of "high-yield product ranking" is likely to attract regulatory scrutiny, as some wealth management companies may manipulate yields to attract funds [13][14]. Regulatory and Industry Dynamics - As of the end of 2025, there were 159 banks and 32 wealth management companies with existing products, a decrease of 59 banks from the end of 2024. The total scale of bank wealth management products reached 2.58 trillion yuan, a year-on-year decline of 29.12% [3][10]. - The market share of bank wealth management products fell from 12.2% in 2024 to 7.8% in 2025, indicating a simultaneous contraction in the number of entities, scale, and market share [10]. - Regulatory measures are tightening, with a focus on standardizing information disclosure for asset management products to prevent misleading marketing practices [14][15]. Peer Innovation Dynamics - Ningyin Wealth Management has actively participated in the new stock offline subscription business, with 7 products involved in inquiries for 40 new stocks, achieving a 90% success rate [17][19]. - The company has established a professional equity research team to support its investment strategies, focusing on key sectors such as technology and manufacturing [17][18]. Yield Performance - For the week of January 26 to February 1, 2026, cash management products recorded an annualized yield of 1.28%, a slight increase of 1 basis point from the previous week [20][22]. - In contrast, the annualized yield for money market funds decreased to 1.15%, resulting in a yield differential of 0.13% between the two product types [20][22]. Net Value Tracking - The net value loss rate for bank wealth management products was 0.61%, an increase of 0.08 percentage points from the previous week [29][32]. - The credit spread narrowed by 1.96 basis points, indicating a potential correlation between net value loss rates and credit spreads [29][32].
银行理财周度跟踪(2026.1.26-2026.2.1):银行存续理财持续压降,理财“收益打榜”再获关注-20260204
HWABAO SECURITIES· 2026-02-04 11:05
Investment Rating - The report does not explicitly provide an investment rating for the industry [2] Core Insights - The scale of bank wealth management products continues to shrink, with a significant reduction in the number of banks and the total value of products, indicating a market consensus on the transition to distribution models [3][10] - There is a growing concern regarding the "high yield showcase" phenomenon in wealth management products, which may attract regulatory scrutiny due to the manipulation of short-term yields to attract investments [3][13] - The report highlights the active participation of Ningyin Wealth Management in the new stock subscription market, indicating a strategic focus on equity investments to enhance returns [3][17] Summary by Sections Regulatory and Industry Dynamics - As of the end of 2025, there were 159 banks and 32 wealth management companies with active products, with a 29.12% year-on-year decline in the total value of bank wealth management products to 2.58 trillion yuan, reducing their market share from 12.2% in 2024 to 7.8% in 2025 [3][10] - The trend of banks transitioning to distribution models is becoming a consensus, especially among small and medium-sized banks, as they face restrictions on their wealth management operations [11][12] Peer Innovation Dynamics - Ningyin Wealth Management has actively engaged in the new stock subscription market, with 7 products participating in inquiries for 40 new stocks, achieving a 90% success rate in allocations, totaling over 15 million yuan [3][17] - The establishment of a professional research team by Ningyin Wealth Management supports its investment strategies in the equity market, particularly in the hard technology sector [18] Yield Performance - For the week of January 26 to February 1, 2026, cash management products recorded an annualized yield of 1.28%, a slight increase of 1 basis point, while money market funds saw a decrease to 1.15% [20][23] - The report notes a general decline in yields across various fixed-income products, influenced by market volatility and changes in monetary policy [24][31] Net Value Tracking - The net value ratio of bank wealth management products was reported at 0.61%, an increase of 0.08 percentage points, indicating potential pressure on the products if credit spreads continue to widen [29][32]
ETF及指数产品网格策略周报-20260203
HWABAO SECURITIES· 2026-02-03 10:24
2026 年 02 月 03 日 证券研究报告 | 财富生态周报 ETF 及指数产品网格策略周报 2026/2/3 分析师:卫以诺 分析师登记编码:S0890518120001 电话:021-20321014 邮箱:weiyinuo@cnhbstock.com 分析师登记编码:S0890522110001 电话:021-20321297 邮箱:chengbingzhe@cnhbstock.com 分析师:薛婧怡 分析师登记编码:S0890525070001 电话:021-20321092 邮箱:xuejingyi@cnhbstock.com 021-20515355 2026/1/27》2026-01-27 2、《ETF 及指数产品网格策略周报— 2026/1/20》2026-01-20 3、《ETF 及指数产品网格策略周报— 2026/1/14》2026-01-14 4、《ETF 及指数产品网格策略周报— 2026/1/6》2026-01-06 5、《ETF 及指数产品网格策略周报— 2025/12/30》2025-12-30 投资要点 分析师:程秉哲 ◆网格交易策略概述:简单来说,"网格交易"本质上是一种 ...
公募基金指数跟踪周报(2026.01.26-2026.01.30):全球流动性巨震,盈利修复值得期待-20260202
HWABAO SECURITIES· 2026-02-02 12:04
Report Investment Rating - No specific investment rating for the industry is provided in the report Core Viewpoints - Last week (2026.01.26 - 2026.01.30), the A - share market was volatile and differentiated, with high trading volume, extreme differentiation, and rapid rotation. The market's driving logic shifted from macro - cycle trading to micro - performance verification, and it's advisable to focus on mid - stream industries with profitability repair and ROE improvement [2][3][11][12][13] - The bond market was volatile last week, and the current environment is favorable for the bond market. The 10 - year Treasury yield is expected to gradually decline towards 1.80%. In the context of increased volatility in the equity market, the relative value of bond coupon allocation has increased [4][14] - The China Securities Regulatory Commission released a draft for public comments on amending the information disclosure rules for public funds, aiming to guide the industry to focus on the concepts of "long - term investment and value investment" [5][17] Weekly Market Observation 1.1 Equity Market Review and Observation - Last week, the Shanghai - Shenzhen 300 rose 0.1%, the CSI 500 fell 2.6%, and the ChiNext fell 0.1%. The market was characterized by extreme differentiation and rapid rotation under high trading volume, with more stocks falling than rising [2][11] - Market funds were in a fierce game between inflation trading and the technology growth theme. "Price trends" were the guiding principle in the first half of the week, and later, policies and performance became the main drivers of style switching. The annual performance forecast disclosure was a key factor for individual stock trends [3][12] - The market's driving logic shifted from macro - cycle trading to micro - performance verification. Funds tended to seek more balanced and performance - supported allocations, and it's recommended to focus on mid - stream industries [13] 1.2 Pan - Fixed - Income Market Review and Observation - Last week, the bond market was volatile. The 1 - year Treasury yield rose 1.80BP to 1.30%, the 10 - year yield declined 1.86BP to 1.81%, and the 30 - year yield rose 0.19BP to 2.29%. The 10 - year yield is expected to gradually decline towards 1.80% [4][14] - The current environment is favorable for the bond market. The central bank maintains stable liquidity, and the cautious economic growth targets in many places ease the market's expectations of strong fiscal stimulus. The bond market sentiment is gradually improving [4][14] - Last week, the U.S. Treasury yield curve steepened. The 1 - year yield declined 5BP to 3.48%, the 2 - year yield declined 8BP to 3.52%, and the 10 - year yield rose 2BP to 4.26%. The appointment of Kevin Warsh as the Fed Chairman affected the U.S. Treasury yield curve [15] - The CSI REITs Total Return Index rose 0.47% last week, with municipal environmental protection and highways leading the gains. Ten new public REITs made progress in the primary market [15] 1.3 Public Fund Market Dynamics - On January 30, 2026, the China Securities Regulatory Commission released a draft for public comments on amending the information disclosure rules for public funds. The new rules require adding the medium - to - long - term performance of the past 7 and 10 years, no longer disclosing the past 1 - month performance, and adding disclosure requirements such as fair trading, employee fund - holding, and trading unit leasing [5][17] Fund Index Performance Tracking 2.1 Equity Strategy Theme - Based Index - **Active Stock Fund Selection**: The index selects 15 funds each period, with equal - weight allocation. The core positions select active equity funds based on performance competitiveness and style stability, and balance the style according to the CSI Equity - Oriented Fund Index. The performance benchmark is the CSI Equity - Oriented Fund Index [21][22] 2.2 Investment Style - Based Index - **Value Stock Fund Selection**: It selects 10 funds of deep - value, quality - value, and balanced - value styles. The performance benchmark is the CSI 800 Value Index [25] - **Balanced Stock Fund Selection**: It selects 10 relatively balanced and value - growth style funds. The performance benchmark is the CSI 800 [25][26] - **Growth Stock Fund Selection**: It selects 10 funds of active - growth, quality - growth, and balanced - growth styles. The performance benchmark is the 800 Growth Index [29] 2.3 Industry Theme - Based Index - **Pharmaceutical Stock Fund Selection**: It selects 15 funds with an average purity of no less than 60% in the pharmaceutical industry. The performance benchmark is the pharmaceutical theme fund index [32][33] - **Consumer Stock Fund Selection**: It selects 10 funds with an average purity of no less than 50% in the consumer industry. The performance benchmark is the consumer theme fund index [33][34] - **Technology Stock Fund Selection**: It selects 10 funds with an average purity of no less than 60% in the technology industry. The performance benchmark is the technology theme fund index [37] - **High - End Manufacturing Stock Fund Selection**: It selects 10 funds with an average purity of no less than 50% in the high - end manufacturing industry. The performance benchmark is the high - end manufacturing theme fund index [42][43] - **Cyclical Stock Fund Selection**: It selects 5 funds with an average purity of no less than 50% in the cyclical industry. The performance benchmark is the cyclical theme fund index [45][46] 2.4 Money - Market Enhancement Index - **Money - Market Enhancement Strategy**: The index aims for liquidity management, pursues a curve that exceeds money - market funds and is smoothly upward. It mainly allocates money - market funds and inter - bank certificate of deposit index funds. The performance benchmark is the CSI Money - Market Fund Index [48] 2.5 Pure Bond Index - **Short - Term Bond Fund Selection**: It selects 5 funds with stable long - term returns, strict drawdown control, and significant absolute - return ability. The performance benchmark is 50% * Short - Term Pure Bond Fund Index + 50% * Ordinary Money - Market Fund Index [52] - **Medium - and Long - Term Bond Fund Selection**: It selects 5 medium - and long - term pure bond funds with both return and drawdown control, and adjusts the duration and the ratio of credit bond and interest - rate bond funds according to the market [54] 2.6 Fixed - Income + Index - **Low - Volatility Fixed - Income + Selection**: The equity center is 10%. It selects 10 funds with an equity center of less than 15%. The performance benchmark is 10% CSI 800 Index+90% ChinaBond New Composite Full - Price Index [57] - **Medium - Volatility Fixed - Income + Selection**: The equity center is 20%. It selects 5 funds with an equity center between 15% - 25%. The performance benchmark is 20% CSI 800 Index+80% ChinaBond New Composite Full - Price Index [60] - **High - Volatility Fixed - Income + Selection**: The equity center is 30%. It selects 5 funds with an equity center between 25% - 35%. The performance benchmark is 30% CSI 800 Index+70% ChinaBond New Composite Full - Price Index [63] 2.7 Other Pan - Fixed - Income Index - **Convertible Bond Fund Selection**: It selects 5 convertible bond funds based on an evaluation system from multiple dimensions. The sample space requires a high proportion of convertible bond investment [66] - **QDII Bond Fund Selection**: It selects 6 QDII bond funds with stable returns and good risk control based on credit and duration [69] - **REITs Fund Selection**: It selects 10 REITs funds with stable operation, reasonable valuation, and certain elasticity based on the underlying asset type [70]
ETF策略指数跟踪周报-20260202
HWABAO SECURITIES· 2026-02-02 07:43
1. Report Industry Investment Rating - Not provided in the content 2. Core Viewpoints - The report presents several ETF strategy indices constructed by Huabao Research and tracks their performance and positions on a weekly basis, aiming to help investors convert quantitative models or subjective views into practical investment strategies [11] 3. Summary by Relevant Catalog 3.1 ETF Strategy Index Tracking - **Overall Performance**: The table shows the performance of various ETF strategy indices last week. The Huabao Research Quantitative Windmill ETF Strategy Index had the highest weekly excess return of 2.56%, while the Huabao Research SmartBeta Enhanced ETF Strategy Index had the lowest weekly excess return of -2.76% [12] 3.1.1 Huabao Research Size Rotation ETF Strategy Index - **Strategy**: 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. It outputs weekly signals to predict the strength of the indices in the next week and determines positions accordingly to obtain excess returns [13] - **Performance**: As of 2026/1/30, the excess return since 2024 was 29.34%, the excess return in the past month was 5.89%, and the excess return in the past week was - 1.86%. The index's positions include 50% in the CSI 500ETF and 50% in the CSI 1000ETF [13][17] 3.1.2 Huabao Research SmartBeta Enhanced ETF Strategy Index - **Strategy**: It uses price - volume indicators to time self - built Barra factors and maps timing signals to ETFs based on their exposure to 9 major Barra factors to achieve market - outperforming returns. The selected ETFs cover mainstream broad - based index ETFs and some style and strategy ETFs [17] - **Performance**: As of 2026/1/30, the excess return since 2024 was 20.15%, the excess return in the past month was - 2.11%, and the excess return in the past week was - 2.76%. The index's positions are mainly in several science - innovation and growth - style ETFs [17] 3.1.3 Huabao Research Quantitative Windmill ETF Strategy Index - **Strategy**: It starts from a multi - factor perspective, including the grasp of medium - to - long - term fundamentals, tracking of short - term market trends, and analysis of the behavior 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 [20] - **Performance**: As of 2026/1/30, the excess return since 2024 was 51.39%, the excess return in the past month was 6.51%, and the excess return in the past week was 2.56%. The index's positions are mainly in commodity - related and financial - related ETFs [20][25] 3.1.4 Huabao Research Quantitative Balance ETF Strategy Index - **Strategy**: It adopts a multi - factor system, including economic fundamentals, liquidity, technical analysis, and investor behavior factors, to construct a quantitative timing system for trend analysis of the equity market. It also builds a prediction model for market large - and small - cap styles to adjust the equity market position distribution and obtain excess returns through comprehensive timing and rotation [24] - **Performance**: As of 2026/1/30, the excess return since 2024 was - 10.24%, the excess return in the past month was 0.48%, and the excess return in the past week was - 0.36%. The index's positions include bonds and equity - based ETFs [24][27] 3.1.5 Huabao Research Hot - Spot Tracking ETF Strategy Index - **Strategy**: It uses strategies such as market sentiment analysis, tracking of major industry events, investor sentiment and professional opinions, policy and regulatory changes, and historical analysis to track and dig out hot - spot index target products in a timely manner, constructing an ETF portfolio that can capture market hot spots and providing short - term market trend references for investors [27] - **Performance**: As of 2026/1/30, the excess return in the past month was 6.21%, and the excess return in the past week was 3.21%. The index's positions are mainly in commodity, Hong - Kong - stock, and short - term financing ETFs [27][30] 3.1.6 Huabao Research Bond ETF Duration Strategy Index - **Strategy**: It uses bond market liquidity and price - volume indicators to screen 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 long - term returns and drawdown control [30] - **Performance**: As of 2026/1/30, the excess return in the past month was 0.40%, and the excess return in the past week was 0.14%. The index's positions are mainly in bond - related ETFs [30][33]
策略周报:波动明显上升,适度回归稳健-20260201
HWABAO SECURITIES· 2026-02-01 13:18
Group 1 - The report indicates that market volatility has significantly increased, suggesting a return to a more stable investment approach as the market approaches the holiday season [4][14] - The bond market is showing signs of support, with the central bank's clear stance on maintaining liquidity, which is expected to help stabilize the market during the holiday period [3][13] - The report highlights that the 10-year government bond yield is anticipated to gradually decline to around 1.80%, emphasizing the importance of high-yield bond allocations [3][13] Group 2 - The equity market is experiencing increased volatility, with a shift towards more defensive sectors such as liquor and real estate, indicating a potential end to the current market rotation [4][14] - The report notes that the A-share market has shown a mixed performance, with the Shanghai Composite Index declining by 0.44% and the Wind All A Index down by 1.59% [11] - The report suggests that investors should consider reducing exposure to sectors lacking earnings support and increase holdings in high-dividend stocks to mitigate portfolio volatility [4][14] Group 3 - The report provides a review of significant events, including the announcement of the Federal Reserve's decision to maintain the federal funds rate between 3.50% and 3.75%, reflecting a cautious approach to economic conditions [10] - It also mentions that the profit of large-scale industrial enterprises in China increased by 0.6% year-on-year, indicating a stable economic environment [10] - The report emphasizes the importance of monitoring upcoming economic indicators, such as the European Central Bank's interest rate decision and U.S. non-farm payroll data [27]