以下文章来源于做配置的小雪 ，作者做配置的小雪 做配置的小雪 . 曾经幻想暴富，现实变成暴负，投资只能慢慢变富～ 在刚刚过去的2025年，全球顶流对冲基金业绩相当不错。尤其是我们熟悉的桥水基金，表现更是炸裂——创造了50年来最 高年度收益率。 一、桥水三只 基金 位列前五，并且大幅跑赢纳斯达克100 指数 在全球顶流对冲基金年度收益榜中，桥水有3只基金跻身TOP5。 其中，桥水亚洲基金实现37%的回报，位列第二，桥水纯阿尔法II宏观基金和桥水中国基金，都获得了34%的回报，共同位 列第四， 这三只基金都大幅跑赢了 纳指100指数 （同期涨约20%）。 而我们熟悉的采用风险平价策略的桥水全天候 基金 ，年回报约20%，同样明显跑赢 标普500指数 （同期涨约16%），位列 第10。 | 排序 | 基金名称 | 收益率 | | --- | --- | --- | | 1 | Melgart机会基金 | 45.10% | | 2 | 桥水亚洲基金 | 37% | | 3 | 探索资本 | 35.60% | | ব | 桥水"纯阿尔法 II"基金 | 34% | | 4 | 桥水中国基金 | 34% | | 6 | ...

投资咨询业务资格：证监许可【2011】1778 号 期货研究报告 资讯早班车-2026-01-06 一、 宏观数据速览 | 发布日期 | 指标日期 | 指标名称 | 单位 | 当期值 | 上期值 | 去年同期值 | | --- | --- | --- | --- | --- | --- | --- | | 2025-10-20 | 2025/09 | GDP:不变价:当季同比 | % | 4.8 | 5.2 | 4.6 | | 2025-12-31 | 2025/12 | 制造业 PMI | % | 50.1 | 49.8 | 50.1 | | 2025-12-31 | 2025/12 | 非制造业 PMI:商务活动 | % | 50.2 | 50.0 | 52.2 | | 2025-12-15 | 2025/11 | 社会融资规模:当月值 | 亿元 | 24888 | 25660 | 23288 | | 2025-12-12 | 2025/11 | M0:同比 | % | 10.6 | 11.7 | 12.7 | | 2025-12-12 | 2025/11 | M1:同比 | % | 4.9 | 6.0 ...

如何平视固收+相关性 20251203 我们最近发布了一篇关于资产间相关性的报告，旨在探讨 2026 年资产收益率 预期的差异及其对投资组合的影响。我们注意到，尽管市场普遍关注资产收益 率，但资产间相关性这一点往往被忽视。尤其是今年（2025 年）股债之间深 度负相关的格局是否会在明年（2026 年）发生变化，这一点值得关注。 报告 涵盖了六个部分内容。首先，我们定义了资产相关性对组合的贡献，并通过定 量方法进行整理和分析。其次，我们回顾了大类资产之间的相关性，包括股票、 债券、转债、黄金、美债、美股和 REITs 等。在股债这两类资产中，我们进一 步探讨了期限利差和信用利差与股票收益率之间的关系。 我们还发现，通胀水 平对国债相关性的解释力度并不强，而通胀和经济增长波动对股债相关性的解 股债负相关关系自 2018 年以来较为明显，受通胀、流动性和机构行为 等因素驱动，呈现不同周期特征。2020 年以来，股票表现对未来一个 月资产间关联产生单向影响。 高频市场中，股债相关性受宏观政策和投资者结构影响，呈现状态变化。 流动性指标和沃夫指标能有效刻画市场流动性紧张程度及股票波动变化， 从而解释股债间关系。若流动性 ...

Group 1 - The report highlights that Japan's bond market experienced its most severe sell-off since 1999, driven by a combination of fiscal expansion, central bank policy shifts, and supply-demand imbalances [6][7][8] - The Japanese government's economic stimulus plan of 21.3 trillion yen (approximately 3.5% of GDP) raised concerns about debt sustainability, leading to increased selling pressure in the bond market [6][7] - The Bank of Japan's reduction in long-term bond purchases exacerbated supply pressures, with the 30-year bond yield reaching a historic high of 3.26% [7][8] Group 2 - The report identifies common characteristics of global bond market volatility, noting that developed markets have also experienced significant adjustments in response to central bank policy signals [11][12] - In the UK, a crisis of fiscal credibility led to a surge in 30-year gilt yields to the highest levels since 1998, reflecting concerns over government debt sustainability [12] - Australia's bond market saw a sharp increase in yields following unexpected inflation data, indicating a shift in market expectations regarding interest rate movements [13][15] Group 3 - The report discusses the vulnerabilities of emerging markets, highlighting that their bond markets are particularly sensitive to changes in central bank policies, leading to amplified volatility [20][21] - Argentina's recent crisis exemplifies this vulnerability, with a significant rise in sovereign debt risk premiums amid concerns over fiscal sustainability [21][22] - The report notes that emerging markets face challenges due to shallow liquidity and reliance on foreign capital, which can lead to rapid capital outflows in response to policy shifts [20][23] Group 4 - The report emphasizes the importance of balancing fiscal expansion, central bank operations, and market absorption capacity in the context of Japan's bond market [28][29] - It suggests that while Japan's experience offers lessons, significant differences exist in capital account management and monetary policy tools between Japan and other countries [28][29] - The report warns that ongoing fiscal stimulus in China could lead to reassessments of long-term interest rate levels, particularly if nominal growth does not meet expectations [28][30] Group 5 - The report outlines potential scenarios for Japan's bond market, particularly in light of the upcoming Bank of Japan policy meeting, where tensions between fiscal stimulus and monetary tightening may influence market reactions [33][34] - It notes that the yield curve could steepen if interest rate hikes materialize, but economic data surprises could limit long-term yield increases [34][35] - The report highlights the differentiated risk profiles of various bond maturities, with longer-duration bonds facing greater price volatility in a low liquidity environment [35][36]

Core Insights - Asset allocation is not just about risk diversification; predicting returns is equally important. The report emphasizes that the significance of asset allocation lies in systematically designing strategies that allow investors to leverage their predictive abilities, enabling those with a 60% win rate to outperform those with a 40% win rate [5][8] - The allocation approach can be categorized into passive and active types. Passive strategies focus on risk diversification, while active strategies, such as Mean-Variance Optimization (MVO) and Black-Litterman (B-L), aim to enhance returns while considering risk [5][8] - Active asset allocation's core is return prediction and risk penalty, where risk is defined as "uncertainty." For professional investors, asset volatility is not risk if they can predict it; thus, true risk stems from inadequate predictive ability [5][11] MVO Model Application - The MVO model is suitable for active asset allocation, with its derivatives like the B-L model incorporating subjective views on returns. However, the model is sensitive to input variables, which can lead to concentrated positions in a few asset classes [9][10] - The MVO model requires high accuracy in return predictions, which is both a limitation and a value. It allows investors with a predictive edge to construct effective asset allocation strategies [10][29] Active Asset Allocation Scenarios - Active asset allocation can be applied in two scenarios: directly obtaining allocation schemes or enhancing passive allocations with active strategies. The latter involves using passive models to establish a base and then applying active strategies to enhance returns on assets where predictive capabilities exist [36][43] ETF-Based Active Asset Allocation - The report discusses an ETF-based active asset allocation strategy, replacing traditional indices with investable ETFs. This includes using an industry rotation strategy for equities and bond ETFs to replicate mixed bond fund indices [49][51] - The active ETF allocation strategy can be categorized into two types: one directly based on MVO and the other combining a passive strategy with MVO enhancements [59][60]

Core Viewpoint - The article emphasizes the performance and resilience of the CSI A500 Index during the current bull market, highlighting its ability to generate significant excess returns compared to its peers, particularly the CSI 300 Index [4][15][16]. Performance Analysis - The CSI A500 Index has shown a remarkable performance, achieving an increase of approximately 20% this year, outperforming 21 out of 31 industry sectors [10]. - Historical data indicates that during previous bull markets, the CSI A500 Index recorded gains of 155.36% from July 2014 to June 2015 and 101.06% from January 2019 to February 2021, demonstrating its capacity to keep pace with market trends [11]. Comparison with CSI 300 - In the current year, the CSI A500 has outperformed the CSI 300 by nearly 3 percentage points, showcasing its competitive edge [16]. - Over a five-year period, the CSI A500 has consistently outperformed the CSI 300, indicating its robustness in various market conditions [17]. Index Composition and Strategy - The CSI A500 Index employs a balanced stock selection method, resulting in a lower allocation to traditional sectors like finance and consumer goods, while favoring emerging sectors such as technology and healthcare [19]. - The median market capitalization of the CSI A500's constituent stocks is below 100 billion, positioning it as a mid-to-large cap index, which allows it to capture a broader market representation [20]. Fund Flows and Investor Sentiment - Since the launch of the CSI A500 ETF, it has attracted significant capital inflows, totaling 210.5 billion, while the CSI 300 ETF experienced outflows of 66.9 billion during the same period [20]. - The CSI A500 ETF has become the second-largest tracked index in the A-share market, reflecting strong institutional and individual investor interest [22]. Investment Strategy - The article suggests that reallocating investments from the CSI 300 to the CSI A500 may provide a different investment experience, potentially enhancing returns [23]. - A multi-asset strategy based on risk parity has shown promising results, with the CSI A500 contributing to a cumulative return of 155.32% since 2014, indicating its effectiveness in diversified portfolios [25]. Pension Fund Considerations - The CSI A500 ETF is included in the personal pension fund directory, offering unique advantages such as fee discounts and tax benefits, making it an attractive option for long-term investors [26].

Core Viewpoint - The article emphasizes the importance of index investing for ordinary investors, particularly in the context of the Chinese A-share market, which is more volatile compared to the S&P 500. It suggests that a well-structured index fund strategy can help mitigate risks and achieve stable returns [3][4]. ETF Product Introduction - Warren Buffett recommends investing in the S&P 500 index fund for its cost-effectiveness and simplicity, cautioning against trying to time the market or select specific stocks [3]. - The article highlights the challenges faced by domestic investors in finding a suitable broad-based index similar to the S&P 500 due to the volatility of the A-share market [3]. Investment Strategy - The company has developed an all-weather index fund portfolio that adapts to the domestic market, allowing for easy one-click investment, currently available on JD Finance [4]. - The portfolio aims to achieve absolute returns through global asset allocation, focusing on high-quality assets while diversifying to smooth out volatility [6]. Portfolio Composition - The portfolio includes a mix of bonds, stocks, and currencies, with a focus on maintaining a controlled risk profile [7][9]. - The current holdings feature a significant allocation to bond assets, complemented by equity and commodity investments, ensuring diversification across different asset classes [14][16]. Performance Metrics - The portfolio has shown stable performance despite market fluctuations, achieving an absolute return since inception, with a recent one-month increase of 1.48% and a year-to-date increase of 6.79% [11][12]. - The strategy employs a quantitative approach to asset selection, aiming for risk parity across different asset classes, which helps in maintaining stability [10]. Future Outlook - The company remains optimistic about dividend-paying stocks and has allocated funds to both value and growth indices, including technology-focused investments [16]. - Gold is included in the portfolio as a hedge against inflation, reflecting its low correlation with other asset classes and its safe-haven characteristics [17]. Investment Accessibility - The portfolio is exclusively available on JD Finance, allowing investors to participate with a minimum investment of 200 yuan, and the company has committed to investing 2 million yuan in the fund within the year [19][20].

Core Viewpoint - The article emphasizes the need for a paradigm shift in asset pricing and investment management, moving from traditional models to a more dynamic and adaptive approach that considers the non-linear relationships between assets and their roles within a portfolio [4][11][18]. Group 1: Asset Pricing Theory - Traditional asset pricing theories, such as the Capital Asset Pricing Model (CAPM), are based on strict assumptions of market efficiency and rational investors, which fail to explain market anomalies like momentum and value effects [4][12]. - The article argues that asset prices are influenced not only by their expected returns and risks but also by their roles in the overall investment portfolio and the dynamic relationships with other assets [4][11]. Group 2: Investment Strategy - The new investment philosophy focuses on systematically and proactively enhancing the risk-adjusted returns of investment portfolios rather than merely seeking absolute returns [4][11]. - The investment framework proposed is not about finding the "true value" of assets but about creating an adaptive system that can achieve stable growth across different market environments [7][16]. Group 3: Multi-Asset Allocation - The article discusses the importance of low correlation among assets in a multi-asset allocation strategy, which can significantly reduce the probability of negative monthly returns [22][23]. - A two-stage strategy combining CPPI (Constant Proportion Portfolio Insurance) and risk budgeting is suggested to enhance traditional methodologies and improve risk-adjusted returns [17][23]. Group 4: Market Dynamics - The article highlights that the correlation between assets is dynamic and can change with market conditions, which poses risks to traditional asset allocation frameworks that rely on historical data [12][15]. - The concept of "free lunch" in asset allocation, derived from low correlation, may diminish as market environments evolve, necessitating a deeper understanding of the underlying factors driving asset correlations [15][18]. Group 5: Future of Asset Pricing - The future of asset pricing is seen as a transition from a focus on historical data to an understanding of technological trends, industry changes, and collective human behavior [34]. - The new asset pricing framework is described as a three-dimensional investment model centered around technological advancement, new productive forces, and consensus-driven narratives [18][28].

Group 1 - The article emphasizes the importance of asset allocation and rebalancing strategies in investment, highlighting that different asset classes (stocks and bonds) do not move in sync, necessitating adjustments to maintain desired risk levels [7][10][60] - It introduces the concept of "rebalancing" as a strategy to adjust asset proportions back to their original targets after market fluctuations, which can enhance overall returns [8][25][59] - The article outlines four common rebalancing strategies: periodic rebalancing, threshold-based rebalancing, valuation-based rebalancing, and risk parity rebalancing [27][28][35] Group 2 - The article discusses two specific rebalancing strategies used in the author's investment approach: growth/value style rotation and stock/bond rebalancing [39][47] - It provides an example of how to implement stock/bond rebalancing, illustrating the process of adjusting allocations based on market conditions, such as selling bonds to buy stocks during market downturns [50][54] - The article concludes that market volatility can create more opportunities for rebalancing, ultimately benefiting investors by enhancing returns [61][62]

Group 1: Market Outlook - The A-share market is currently experiencing a "slow bull" phase, with concerns about whether the market has overheated due to rapid index increases [1][3] - The core driver of the recent market rally is the improved risk-return ratio of equity assets, as bond yields have fallen below 2%, prompting investors to seek higher returns in risk assets [3][4] - There is a recognition of localized bubbles, particularly in the technology sector represented by computing power, where some stocks have seen significant short-term price increases [3][4] Group 2: Investment Strategies - The importance of multi-asset allocation is emphasized in the context of increasing market volatility and frequent style rotations [7][8] - Different investment strategies are discussed, including absolute return focus, risk parity methods, and the use of alternative assets to manage portfolio volatility [7][8][9] - A recommendation for a mixed strategy involving approximately 30% risk assets, with a focus on low-volatility stocks and quantitative selection, is presented as a long-term investment approach [10][11]