什么叫增强？就是指数涨的时候你比它多涨一点，指数震荡的时候你还能磨出正超额，指数跌的时候你比它少跌一点。 | 阶段涨幅 | 季度涨幅 | 年度涨幅 | 基金评级 | | --- | --- | --- | --- | | 周期 | 涨跌幅 | 1业绩基准 ▼ | 同类排行(1) | | 近1周 | 1.40% | 2.70% | 2842 /4898 | | | | | 一般 | | 近1月 | 0.69% | -0.52% | 1607/4848 | | | | | 良好 | | 近3月 | 20.01% | 16.23% | 705/4682 | | | | | 优秀 | | 近6月 | 16.14% | 12.69% | 1429/4285 | | | | | 良好 | | 近1年 | 41.96% | 30.94% | 991/3520 | | | | | 良好 | | 近2年 | 94.57% | 61.25% | 398/2562 | | | | | 优秀 | | 近3年 | 62.33% | 21.33% | 230/2006 | | | | | 优秀 | | 近5年 | | | -- /112 ...

Group 1 - The report indicates that in January 2026, domestic asset BL strategy 1 achieved a return of 1.55%, while strategy 2 achieved 1.65%. The risk parity strategy yielded 0.94%, and the macro factor-based strategy returned 1.4% [1][4][19]. - The performance of major asset classes in January 2026 showed that gold led the gains with an increase of 18.48%, followed by the CSI 1000 at 8.68%, and the Nanhua Commodity Index at 8.61% [7][8]. - The report highlights the correlation between various asset classes, noting that the correlation between the CSI 300 and the total wealth index of government bonds was -32.28%, indicating a potential for diversification [13][15]. Group 2 - The macroeconomic outlook as of January 2026 shows a manufacturing PMI of 49.3%, indicating a contraction, while the non-manufacturing PMI also fell to 49.5%, suggesting a weak economic recovery [43]. - Inflation indicators show that the CPI rose by 0.8% year-on-year in December 2025, with expectations for a further increase to around 0.47% in January 2026 due to seasonal effects [44]. - The report discusses liquidity conditions, stating that the banking system remains "reasonably ample and slightly loose," which is expected to support economic stabilization in the first quarter [46]. Group 3 - The domestic asset BL strategy 1 has a maximum drawdown of 0.23% and an annualized volatility of 2.54%, while strategy 2 has a maximum drawdown of 0.35% and an annualized volatility of 2.64% [20][30]. - The risk parity strategy has a return of 0.94% with a maximum drawdown of 0.24% and an annualized volatility of 1.43%, indicating its stability compared to other strategies [39]. - The macro factor-based asset allocation strategy achieved a return of 1.4% with a maximum drawdown of 0.5% and an annualized volatility of 2.73%, reflecting its effectiveness in the current market environment [47].

Group 1 - The core viewpoint of the news is that the Xingyin CSI 500 Index Enhanced A fund has shown strong performance, with a recent net value of 1.3146 yuan and a six-month return of 27.88%, ranking 127th out of 757 in its category [1] - As of December 31, 2025, the fund achieved a one-year return of 34.82%, exceeding the benchmark return by 6.01%, and a three-year return of 32.63%, surpassing the benchmark return rate by 6.38% [1][2] Group 2 - The Xingyin Enhanced A fund is positioned as an index-enhanced equity fund, closely tracking the CSI 500 Index while optimizing component stock weights through quantitative models [2] - The fund's asset allocation shows a stock position of 92.18%, with only 0.71% in bonds and 6.53% in cash [2] - The manufacturing sector dominates the fund's industry allocation, accounting for 60.39% of net value, followed by information technology and finance at 4.53% and 4.34%, respectively [2] Group 3 - The top ten holdings of the fund are all CSI 500 Index component stocks, collectively representing approximately 7.24% of the fund's net asset value, indicating a diversified overall holding [2] - The fund actively invests in growth sectors, including information technology (e.g., Giant Network, Crystal Optoelectronics), high-end manufacturing (e.g., Lead Intelligent, Goldwind Technology), aerospace (e.g., China Satellite, Aerospace Electronics), and electronics (e.g., Jingwang Electronics, Xingsen Technology) [2] Group 4 - Fund manager Weng Zichen noted that the CSI 500 Index performed strongly in the fourth quarter, and despite the pressure on enhanced index products, the fund achieved stable excess returns through strict style exposure control and optimization using the Barra multi-factor model [5] - The strategy emphasizes controlling the volatility of excess returns and improving the Sharpe ratio to ensure consistent and stable performance across different market cycles [5] - Looking ahead to 2026, the CSI 500 Index will remain a key tool for investing in quality mid-cap growth stocks, with the fund continuing to leverage its quantitative model for risk control and alpha generation [5]

资产配置月报 202602 如何衡量黄金的交易拥挤度？ glmszqdatemark 2026 年 02 月 06 日 如何衡量黄金的交易拥挤度？ 大类资产量化观点 风格量化观点 行业配置量化观点 [Table_Author] | 分析师 | 叶尔乐 | | --- | --- | | 执业证书： S0590525110059 | | | 邮箱： | yeerle@glms.com.cn | | 分析师 | 祝子涵 | | 执业证书： S0590525110061 | | | 邮箱： | zhuzihan@glms.com.cn | 相关研究 本公司具备证券投资咨询业务资格，请务必阅读最后一页免责声明 证券研究报告 1 2026 年 1 月底黄金价格出现大幅下跌，或是短期利空事件触发与市场自身交易 结构脆弱性共振的结果。下跌的诱因或来自凯文沃什被提名美联储主席候选人， 但黄金长期上涨的根本逻辑未发生改变；前期黄金价格持续上涨，黄金交易拥挤 度处于高位，其脆弱的交易结构在利空消息的刺激下导致了这次大幅下跌。 对于黄金的交易拥挤度，我们可以从其价格乖离率和沪金主力平值 IV 来观察。在 黄金长期上涨逻辑不变的情况 ...

Group 1: Report Industry Investment Rating - No information about the report industry investment rating is provided in the content [N/A] Group 2: Core Viewpoints - On February 5, 2026, the 30y Treasury bond model's single - day output probability was 10.57%, MA5 was 39.29%, and the model's view changed from oscillating to bullish, the first MA5 bullish signal since the model output an adjustment signal on October 30, 2025. The high yield of the new 30y Treasury bond might affect the model [4][7] - The 3 - year AAA medium - short note model remained bullish, with the bullish signal lasting for 43 trading days since December 8, 2025 [4][7] - On February 4, 2026, the 10 - year Treasury bond model's MA5 changed from oscillating to bullish, ending the oscillating adjustment period since December 2025. A factor of large banks' buying and selling of 7 - 10 - year Treasury bonds was added [4][7] - The 2 - year Treasury bond model fluctuated greatly recently. On February 4, 2026, it showed a single - day output probability turning bullish, and MA5 entered the oscillating range [4][7] - The gold model has been giving bullish signals since October 29, 2025. It entered the oscillating adjustment range on January 28, 2026, and is currently on the edge of the oscillating adjustment range [4][8] - The crude oil model has been generally bullish recently. The retracement on February 2, 2026, led to a marginal decline in the model's output probability, but it remains in the bullish range [4][8] Group 3: Summary by Related Catalog 1 Model Recent New Results Display - 30y Treasury bond model: On February 5, 2026, single - day output probability 10.57%, MA5 39.29%, changed from oscillating to bullish [7] - 3 - year AAA medium - short note model: Remained bullish, bullish signal for 43 trading days since December 8, 2025 [7] - 10 - year Treasury bond model: MA5 changed from oscillating to bullish on February 4, 2026, ending the oscillating adjustment since December 2025 [7] - 2 - year Treasury bond model: Fluctuated greatly, single - day output probability turned bullish on February 4, 2026, MA5 entered the oscillating range [7] - Gold model: Bullish since October 29, 2025, entered oscillating adjustment on January 28, 2026, currently on the edge of oscillating adjustment [8] - Crude oil model: Generally bullish, retracement on February 2, 2026, led to a marginal decline in output probability, still in bullish range [8]

资产配置 | 动态跟踪 风险偏好主导资产表现，权益关注风格切 换 ——资产配置月报 202602 研究结论 风险提示 报告发布日期 2026 年 02 月 04 日 | 郑月灵 | 执业证书编号：S0860525120003 | | --- | --- | | | zhengyueling@orientsec.com.cn | | 021-63326320 | | | 周仕盈 | 执业证书编号：S0860125060012 | | | zhoushiying@orientsec.com.cn | | 021-63326320 | | | 提 名 沃 什 不 改 美 元 信 用 弱 化 格 局 ： | 2026-02-03 | | --- | --- | | 20260202 多资产配置周报 | | | 预期的变化利好中盘蓝筹：20260126A 股 | 2026-01-28 | | 风格及行业配置周报 | | | 以对冲配置思路应对美股/黄金"畏高" | 2026-01-19 | | 配置关注权益商品，行业聚焦中盘蓝筹： | 2026-01-04 | | ——资产配置月报 202601 | | 有关分析师的申 ...

Group 1: Small and Large Cap Rotation Strategy - The report suggests an overweight position in small-cap stocks for February, based on a quantitative model signal of 0.5 indicating a preference for small-cap [1] - Historically, small-cap stocks have outperformed in February, supporting the recommendation for an overweight allocation [1] - The current market capitalization factor valuation spread is at 0.88, which is below the historical peak range of 1.7 to 2.6, indicating that the market is not overcrowded for small-cap stocks [1] - As of the end of January, the model has achieved a return of 8.16%, outperforming the equal-weight benchmark return of 4.91% by 3.26% [1] Group 2: Value and Growth Style Rotation Strategy - The quantitative model signal for January was 0, suggesting an equal-weight allocation between growth and value styles for February [2] - The model's return as of the end of January was 4.01%, with no excess return compared to the equal-weight benchmark [2] - The long-term outlook favors growth style for the upcoming year [2] Group 3: Style Factor Performance Tracking - Among eight major factors, value and volatility factors showed high positive returns in January, while large-cap and quality factors exhibited negative returns [2] - In January, beta, long-term reversal, and mid-cap factors had high positive returns, whereas large-cap, residual volatility, and industry momentum factors had negative returns [2] - Year-to-date, the same trends in factor performance are observed, with positive returns for beta, long-term reversal, and mid-cap factors, and negative returns for large-cap, residual volatility, and industry momentum factors [2]

Group 1: Small Cap and Growth Style Rotation - The report suggests an overweight allocation to small-cap style for February, with a balanced allocation to value and growth styles. The long-term view remains positive on small-cap and growth styles for the next year [1][2][9] - As of the end of January, the quantitative model signal was 0.5, indicating a preference for small-cap stocks. Historical data shows that small-cap stocks tend to outperform in February [9][10] - The current valuation spread for the market capitalization factor is 0.88, which is below historical peaks of 1.7 to 2.6, suggesting that small-cap stocks still have significant upside potential [19][23] Group 2: Value and Growth Style Rotation - The latest quantitative model signal for January indicates a neutral stance (0) for value and growth styles, recommending an equal-weight allocation for February. The long-term outlook favors growth style for the upcoming year [26][29] - As of the end of January, the model's return for the value and growth strategy was 4.01%, with no excess return compared to the equal-weight benchmark [26][29] Group 3: Factor Performance Tracking - In January, the value, volatility, and growth factors showed positive returns of 1.37%, 1.17%, and 0.69% respectively, while large-cap, quality, and momentum factors experienced negative returns [34][35] - The report highlights that the performance of the eight major factors indicates a trend where value and volatility factors are currently favored, while large-cap and quality factors are underperforming [34][35]

Core Viewpoint - The collective failure of traditional price and volume factors since 2026 has led to the emergence of a momentum-based industry rotation model, which provides a potential solution for enhancing portfolio stability and excess returns [1][4][54]. Group 1: Industry Rotation Model Characteristics - The industry rotation factor has shown strong characteristics, with a monthly Information Coefficient (IC) of 5.3% and an Information Coefficient Information Ratio (ICIR) of 4.0, indicating its robust performance [26][54]. - The industry rotation model has been effective in improving performance within traditional multi-factor frameworks, significantly enhancing excess returns and halting the decline in excess performance seen in recent years [2][54]. Group 2: Challenges and Conflicts - The industry rotation factor faces conflicts with the industry deviation constraints commonly used in index-enhanced frameworks, which can negatively impact its effectiveness [2][54]. - When applying the standard industry deviation constraint of 2% and individual stock deviation of 0.5%, the performance of the portfolio has declined, with excess returns turning negative in 2025 [2][54]. Group 3: Optimal Usage Strategy - The best approach for utilizing the industry rotation factor is to maintain the individual stock deviation constraint at 0.5% while relaxing the industry deviation constraint from 2% to 5%, which has shown to improve overall excess returns and reduce maximum drawdowns [3][54]. - Increasing the industry deviation to 4% or 5% has resulted in better overall performance, with maximum drawdowns decreasing, indicating a balanced approach to enhancing excess returns while controlling risk [3][54].

Core Viewpoint - The "Fixed Income +" fund is evolving by leveraging quantitative models to flexibly adjust the equity-debt ratio, catering to the growing demand for diversified and stable wealth management among residents [1] Group 1: Quantitative Multi-Asset Strategy - The quantitative multi-asset strategy emphasizes systematic and disciplined management of investment portfolios, using quantitative models as key decision-making tools for asset allocation, portfolio adjustment, and risk management [2] - The BlackRock Fund's mixed securities investment fund employs an industry rotation model for its equity portion, scoring based on multiple signal dimensions such as value, growth, and price momentum, while the bond portion uses duration and credit rotation strategies [2] Group 2: Risk Control Mechanisms - The strategy includes a dedicated downside risk control module with hard stop-loss lines and volatility management for preemptive alerts, allowing for adjustments before market fluctuations occur [3] - Fund managers verify model recommendations daily and strictly adhere to risk control directives to ensure the portfolio operates within safe boundaries, aiming to provide investors with peace of mind [3] Group 3: Revenue Sources and Market Capacity - The core of revenue generation comes from trading strategies rather than static bond yields, allowing for a potential scale of over 10 billion yuan for the "Fixed Income +" products without significant impact on returns [5] - The strategy focuses on large and mid-cap stocks and interest rate bonds, with a monthly rebalancing frequency, ensuring that market pricing transparency mitigates concerns about resource scarcity affecting returns [5] Group 4: Investment Outlook for 2026 - The investment opportunities in the domestic bond market are expected to concentrate on short-term high-grade credit bonds and interest rate bond curve trading, with quantitative models aiding in multi-dimensional assessments [5] - The A-share market is anticipated to perform well in the next 12 to 18 months, with the CSI 300 index currently showing an attractive valuation based on projected earnings [5] - Structural market trends are expected to continue, with AI applications expanding beyond hardware infrastructure, and the consumer sector potentially recovering due to positive factors [6]