绝对收益产品及策略周报（260202-260206） [Table_Authors] 郑雅斌(分析师) 上周 161 只固收+基金创新高 本报告导读： 股票端采用小盘价值组合+不择时的股债 10/90 和 20/80 月度再平衡策略，2026 年累 计收益分别为 1.36%和 2.53%。 投资要点： 金 融 工 程 周 报 固收+产品业绩跟踪。截至 2026 年 02 月 06 日，全市场固收+基金 规模 23568.03 亿元，产品数量 1166 只，其中 161 只上周净值创历 史新高。上周（20260202-20260206，下同）共新发 15 只产品，各 类型基金业绩中位数表现分化：混合债券型一级（0.07%）、二级（- 0.15%）、偏债混合型（-0.26%）、灵活配置型（-0.19%）、债券型 FOF （-0.29%）及混合型 FOF（-0.53%）。按风险等级划分，保守型、稳 健型、激进型基金中位数收益分别为 0.04%、-0.17%、-0.27%。 请务必阅读正文之后的免责条款部分 大类资产配置和行业 ETF 轮动策略跟踪。1）大类资产择时观点。 2026Q1 逆周期配置模型给出的宏观环境预 ...

中国经济网北京2月11日讯 今日，宝盈基金公告，阳之璇离任宝盈祥瑞混合，倪也管理。 (责任编辑：康博) 宝盈祥瑞混合A、宝盈祥瑞混合C成立日分别为2014年05月21日和2019年07月01日，截至2026年02 月10日，其今年来收益率为-2.34%、-2.37%，成立来收益率为51.50%、2.06%，累计净值为1.4827元、 1.1318元。 | 基金名称 | 宝盈祥瑞混合型证券投资基金 | | --- | --- | | 基金简称 | 宝盈祥瑞混合 | | 基金主代码 | 000639 | | 基金管理人名称 | 宝盈基金管理有限公司 | | 公告依据 | 《公开募集证券投资基金信息披露管理办法》 | | 基金经理变更类型 | 解聘非金经理 | | 共同管理本基金的其他基 | 倪也 | | 金经理姓名 | | | 离任基金经理姓名 | 阳之骏 | 倪也曾在鹏华基金担任高级研究员，TMT组长，2021年1月加入宝盈基金管理有限公司，先后担任 行业研究员、基金经理助理，现任基金经理。 ...

2月11日，西部材料跌2.07%，截至发稿，报48.29元/股，成交39.79亿元，换手率16.41%，总市值235.76 亿元。西部材料股价已经连续4天下跌，区间累计跌幅12.85%。 资料显示，西部金属材料股份有限公司位于陕西省西安经济技术开发区泾渭工业园西金路西段15号，成 立日期2000年12月28日，上市日期2007年8月10日，公司主营业务涉及从事金属复合材料、金属纤维及 其制品、难熔金属材料、贵金属材料及装备等材料的开发、生产和销售,属有色金属延炼加工行业。主 营业务收入构成为：钛产品69.83%，其他金属产品24.49%，其他收入5.68%。 从西部材料十大流通股东角度 数据显示，鹏华基金旗下1只基金位居西部材料十大流通股东。国防ETF（512670）三季度新进十大流 通股东，持有股数262.79万股，占流通股的比例为0.54%。根据测算，今日浮亏损失约268.05万元。连 续4天下跌期间浮亏损失1871.06万元。 国防ETF（512670）基金经理为陈龙。 截至发稿，陈龙累计任职时间10年167天，现任基金资产总规模120.5亿元，任职期间最佳基金回报 189.66%， 任职期间最差基金回 ...

Group 1 - Triangle Defense's stock price fell by 5.15% on February 11, closing at 42.21 yuan per share, with a trading volume of 1.768 billion yuan and a turnover rate of 7.65%, resulting in a total market capitalization of 23.112 billion yuan [1] - The stock has experienced a continuous decline over three days, with a cumulative drop of 4.77% during this period [1] - Triangle Defense, established on August 5, 2002, and listed on May 21, 2019, specializes in the research, production, and service of forged products in industries such as aviation, aerospace, shipbuilding, and non-ferrous metals [1] Group 2 - According to data, one fund under Penghua Fund holds a significant position in Triangle Defense, with the Penghua CSI 1000 Index Enhanced A (016785) holding 652,500 shares, accounting for 0.76% of the fund's net value, making it the sixth-largest holding [2] - The fund has incurred a floating loss of approximately 1.4942 million yuan today, with a total floating loss of 1.4551 million yuan during the three-day decline [2] - The Penghua CSI 1000 Index Enhanced A fund was established on December 26, 2022, with a current scale of 1.282 billion yuan, and has achieved a year-to-date return of 8.86% [2]

2月10日两市ETF两融余额为1200.01亿元，较前一交易日减少10.85亿元。其中融资余额为1124.56亿元，较前一交易日减少10.86亿元；融券余额为75.45亿 元，较前一交易日增加141.45万元。 ETF融资买入额 市场概况 分市场来看，沪市ETF两融余额为843.29亿元，较前一交易日减少8.95亿元。其中融资余额为777.49亿元，较前一交易日减少9.08亿元；融券余额为65.8亿 元，较前一交易日增加1320.89万元。深市ETF两融余额为356.72亿元，较前一交易日减少1.89亿元。其中融资余额为347.07亿元，较前一交易日减少1.78亿 元；融券余额为9.65亿元，较前一交易日减少1179.44万元。 ETF融资融券余额 2月10日ETF两融余额前三位分别为：华安易富黄金ETF（74.84亿元）、易方达黄金ETF（41.05亿元）和国泰中证全指证券公司ETF（38.8亿元），前10具体 见下表： | 代码 | 基金名称 | | --- | --- | | 518880.SH | 华安易富黄金ETF | | 159934.SZ | 易方达黄金ETF | | 512880.SH | 国 ...

Group 1 - The core viewpoint of the articles indicates a significant shift in ETF fund flows, with a reversal from net outflows to substantial inflows, particularly in small and mid-cap style ETFs [1][2] - From February 3 to February 9, stock ETFs experienced a net inflow of 83.89 billion yuan, with notable contributions from the Southern CSI 500 ETF and other sector-specific ETFs [2][3] - The Southern CSI 500 ETF alone saw a net inflow of 33.86 billion yuan during this period, highlighting investor interest in mid-cap stocks [3] Group 2 - New ETFs are being launched, contributing to market liquidity, with four ETFs listed on February 9-10 and eight more scheduled for listing soon [4] - As of February 10, there are three ETFs in the issuance process and seven with confirmed issuance dates, focusing on industry themes such as technology and agriculture [5] - The number of new fund accounts opened in January 2026 surged by 168.72% year-on-year, reflecting increased investor enthusiasm for public funds [5] Group 3 - The market sentiment is improving, with expectations of stabilized risk appetite and reduced selling pressure from large funds, particularly in cyclical sectors [6] - There is a notable recovery in the demand for actively managed equity funds, with several funds exceeding 20 billion yuan in issuance scale [5][6]

Market Overview - On February 10, 2026, A-shares showed mixed performance with the three major indices fluctuating. The AI application and film sectors experienced a surge, while the photovoltaic, real estate, and consumer sectors weakened [1] - A total of 847 ETFs rose in the market, with the film and gaming ETFs seeing significant increases of 9.98% and 5.56%, respectively [1] ETF Performance - The top-performing ETFs included: - Film ETF (159855.SZ) with a rise of 9.98%, estimated scale of 270 million, and a turnover rate of 260.42% [2] - Gaming ETF (159869.SZ) increased by 5.56%, with an estimated scale of 139.25 billion [2] - Conversely, 468 ETFs declined, with the satellite, real estate, and photovoltaic ETFs leading the losses [2][3] Film Sector Insights - The film sector saw a remarkable rally, with the CSI Film Index (930781) soaring by 9.25%. Major stocks like Jiechuan Co. and Huayi Brothers hit the daily limit [5] - The Silver华 Film ETF (159855) reached its daily limit with a 9.98% increase, while the Guotai Film ETF (516620) rose by 9.48%. Both ETFs experienced significant capital inflows [5][6] Gaming Sector Insights - The gaming sector also performed well, with the Animation and Gaming Index (930901) rising by 5.26%. Key stocks such as Light Media and Aofei Entertainment reached their daily limits [12][13] - The top gaming ETFs included: - 华夏 Gaming ETF (159869) with a 5.56% increase and an estimated scale of 2.93 billion [15] - 华泰柏瑞 Gaming ETF (516770) with a 5.22% increase [14] Fund Flow Analysis - On February 9, the A-share market saw a strong rally, with a net outflow of over 28 billion across all stock ETFs. The top inflow sectors included the CSI 500 Index, which saw a net inflow of 27.3 billion [16] - The CSI 500 ETF was highlighted as a core broad-based index reflecting mid to small-cap stocks in the A-share market [19]

Core Viewpoint - The A-share market has experienced significant fluctuations in early 2026, with a notable reduction of over 690 billion yuan in the overall ETF market, indicating a shift in capital preferences and regulatory intentions [1][2]. Group 1: ETF Market Overview - As of February 6, 2026, the total market size of ETFs has decreased by over 690 billion yuan since the beginning of the year, with stock ETFs accounting for a reduction of 690 billion yuan and bond ETFs decreasing by 107.6 billion yuan [2]. - The issuance of new ETFs has been limited, with only 24 new stock ETFs and 4 cross-border ETFs launched, while no new bond, commodity, or money market ETFs were issued [2]. Group 2: ETF Performance by Theme - The top 25 ETFs with the highest growth rates in terms of share volume include sectors such as oil and gas, general aviation, and semiconductor technology, with some ETFs showing growth rates exceeding 800% [4]. - In terms of absolute value increase, the leading ETFs are in the chemical, communication, and software sectors, indicating strong investor interest in these themes [5]. Group 3: ETF Outflows - The ETFs with the highest reduction rates in share volume include those in financial technology, engineering machinery, and solar energy, reflecting a trend of capital withdrawal from these sectors [6]. - The ETFs with the largest absolute value decrease are also concentrated in financial technology and engineering machinery, suggesting a significant shift in investor sentiment away from these themes [7].

1. Report Industry Investment Rating - Not provided in the given content 2. Core Viewpoints of the Report - The report focuses on constructing multiple ETF portfolios, including macro industry, macro + momentum industry, core - satellite, and trinity style rotation portfolios, aiming to find better investment opportunities by combining macro factors, momentum factors, and style rotation [4][5]. - Different industries have different sensitivities to economic, liquidity, and credit factors. For example, traditional cycle industries are sensitive to the economy, TMT is sensitive to liquidity, and consumption is sensitive to credit [4]. 3. Summary According to Relevant Catalogs 3.1 ETF Portfolio Construction Methods 3.1.1 Based on Macro Method - Calculate macro - sensitivities of broad - based, industry - themed, and Smart Beta ETFs based on economic, liquidity, and credit variables. Combine with momentum indicators for complementary analysis [4]. - Traditional cycle industries are suitable for economic up - periods, TMT for weak - economy but loose - liquidity periods, and consumption for credit - expansion periods. State - owned enterprises and ESG - related themes have low sensitivities to liquidity and credit [4]. - Construct three ETF portfolios (macro industry, macro + momentum industry, and core - satellite) and adjust positions monthly [4]. 3.1.2 Trinity Style Rotation ETF Portfolio Construction - Build a medium - to - long - term style rotation model centered on macro - liquidity, and compare it with the CSI 300 index [5]. - Construct three types of models (growth/value rotation, market - cap, and quality models) by screening macro, fundamental, and market - sentiment factors. The model has 8 style - preference results [5]. - Select ETFs with high exposure to the target style, control industry exposure, and set allocation limits to get the final ETF allocation model [5]. 3.2 Macro Industry Portfolio - Select industry - themed ETFs with over 1 - year establishment and over 200 million current scale. Calculate sensitivity scores of economic, liquidity, and credit factors monthly, adjust scores according to the latest indicators, and sum them up. If liquidity and credit deviate significantly, remove the liquidity score. Select the top 6 industry - themed indices and corresponding largest - scale ETFs for equal - weight allocation [6][7]. - Currently, with falling economic leading indicators, loose liquidity, and tightened credit, the portfolio is biased towards TMT and consumption. The February positions are shown in Table 1 [8]. - The portfolio has large fluctuations and outperformed the benchmark significantly in January [11]. 3.3 Macro + Momentum Industry Portfolio - Combine macro and momentum methods to address the left - side nature of macro - based strategies (low win - rate but high odds). Use clustering to group industry - themed indices and select the highest - rising product in each group in the past 6 months for equal - weight allocation [12]. - The momentum - selected industries still have a high proportion of cyclical industries. The February positions are shown in Table 3 [16]. - The portfolio has performed well this year and outperformed the CSI 300 significantly in January [17]. 3.4 Core - Satellite Portfolio - Design a "core - satellite" portfolio with the CSI 300 as the core to address the high volatility and rapid industry rotation of industry - themed ETFs [19]. - Calculate macro - sensitivities for broad - based, industry - themed, and Smart Beta ETFs, construct three stock portfolios, and weight them at 50%, 30%, and 20% respectively [19]. - The current allocation of broad - based ETFs is biased towards the Sci - tech Innovation Board and the ChiNext. The portfolio has performed stably, outperforming the benchmark in most months except December, and had significant excess returns in January 2026 [23][24]. 3.5 Trinity Style Rotation ETF Portfolio - The model currently favors the small - cap growth - high - quality segment. The factor exposures and historical performance are shown in Table 7 [26]. - The February positions are shown in Table 9 [31]. - The portfolio has achieved certain excess returns, especially in some months such as August 2025 and January 2026 [29].

Group 1 - The core viewpoint of the article highlights the increasing allocation value of oil as a core energy commodity amid global economic fluctuations and the restructuring of commodity patterns [1][2] - The National Oil and Gas Index has significantly outperformed mainstream broad-based indices, with a one-year increase of 30.42% compared to the 23.06% increase of the CSI 300 Index, indicating strong growth momentum in the oil and gas sector [1][2] - The recent performance of the National Oil and Gas Index, which rose over 12% in the context of a 1% decline in the CSI 300 Index, demonstrates its resilience and leadership in the market [1][2] Group 2 - The performance of the oil sector is closely related to its current cyclical phase, with the Kondratiev wave theory suggesting that the sector is in a "depression phase," where commodity bull markets are often driven by monetary credit fractures [2] - The oil price is currently at a historically low ratio compared to gold and copper, indicating that oil is significantly undervalued, and 2026 may be a critical year for oil to complete its "catch-up" [2] - Domestic "anti-involution" benefits are also a key factor, as China's "three oil giants" are undergoing a profound value reassessment, attracting significant capital inflows [2] Group 3 - There are only two ETFs tracking the National Oil and Gas Index, with the Penghua Oil ETF (159697) experiencing continuous capital inflows, achieving a net inflow of 1.423 billion yuan over 19 out of the last 20 trading days [3] - The Penghua Oil ETF has a net inflow rate exceeding 520%, and its latest scale has reached 1.712 billion yuan, making it one of the largest ETF products in this sector [3] - For ordinary investors looking to participate in the "oil main stage" market without individual stock research capabilities, the Penghua Oil ETF (159697) is considered a convenient and efficient entry point [3]