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申万菱信红利量化选股股票A:2025年第四季度利润71.72万元 净值增长率6.31%
Sou Hu Cai Jing· 2026-01-23 02:37
AI基金申万菱信红利量化选股股票A(017292)披露2025年四季报,第四季度基金利润71.72万元,加权平均基金份额本期利润0.0717元。报告期内,基金净 值增长率为6.31%,截至四季度末,基金规模为1160.29万元。 该基金属于标准股票型基金。截至1月22日,单位净值为1.283元。基金经理是刘敦和夏祥全,目前共同管理的3只基金近一年均为正收益。其中,截至1月22 日,申万菱信中证1000指数增强A近一年复权单位净值增长率最高,达42.72%;申万菱信量化对冲策略灵活配置混合发起式A最低,为8.57%。 基金管理人在四季报中表示,作为一只普通股票型基金,本基金采用数量化方法,基于红利主题股票,在保持"红利"特性的基础上,结合基本面、预期、价 量等维度的多因子模型进行选股,力争构建具有性价比的投资组合。从结果来看,模型筛选的股票组合与业绩比较基准 2025 年四季度的行情特征较为一 致,报告期内本基金净值表现跑赢业绩比较基准,同时组合的构建从合同约定的红利主题股票池出发,且保持了组合的"红利"特性。 截至1月22日,申万菱信红利量化选股股票A近三个月复权单位净值增长率为9.38%,位于同类可比基金6 ...
申万菱信红利量化选股股票A:2025年第二季度利润88.52万元 净值增长率6.17%
Sou Hu Cai Jing· 2025-07-21 03:13
Core Insights - The AI Fund Shenwan Lingxin Dividend Quantitative Stock A (017292) reported a profit of 885,200 yuan for Q2 2025, with a weighted average profit per fund share of 0.0632 yuan [3] - The fund's net asset value (NAV) growth rate for the reporting period was 6.17%, and as of the end of Q2, the fund size was 12.5744 million yuan [3] - The fund is classified as a standard equity fund and had a unit NAV of 1.138 yuan as of July 18 [3] Performance Metrics - The fund manager indicated that the fund employs a quantitative approach based on dividend-themed stocks, aiming to construct a cost-effective investment portfolio [3] - As of July 18, the fund's one-year NAV growth rate was 14.02%, ranking 69 out of 110 comparable funds [3] - The fund's three-month NAV growth rate was 8.60%, ranking 74 out of 110, and the six-month growth rate was 11.37%, ranking 45 out of 110 [3] Risk and Return Analysis - The fund's Sharpe ratio since inception was 0.8294 as of June 27 [8] - The maximum drawdown since inception was 8.76%, with the largest quarterly drawdown occurring in Q2 2025 at 3.6% [11] - The average stock position since inception was 71.08%, compared to the industry average of 88.08% [14] Portfolio Composition - As of the end of Q2 2025, the fund's top ten holdings included major banks and companies such as Industrial and Commercial Bank of China, Postal Savings Bank of China, and China Petroleum [19]
中证2000增强ETF上半年涨超29%同类第一! 小微盘风格能否持续?
Jin Rong Jie· 2025-07-02 01:30
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].