Group 1 - The report indicates that the global risk appetite remains under pressure, influenced by geopolitical tensions, particularly between the US and Iran, which has led to a rise in the VIX fear index, although it has not reached its two-year peak [6][14][23] - The report highlights that the negative impact of geopolitical disturbances on Chinese assets is diminishing, attributed to China's robust industrial chain and economic resilience, which provide a safety advantage [21][23] - The report notes that the market has already priced in pessimistic expectations regarding interest rates, with the Fed's rate cut expectations pushed back to December 2027, reflecting stable long-term inflation expectations in the US [17][18][23] Group 2 - The report states that A-shares are currently in a controllable risk state, with no clear trend signals observed across major asset classes in the past week [6][24][35] - It mentions that short-term sentiment for commodities, gold, and A-shares has slightly improved, but medium-term uncertainties for commodities and gold are still rising, while A-share medium-term uncertainty remains stable [48]

Core Viewpoint - The article discusses the changing landscape of wealth generation in the context of the "14th Five-Year Plan," emphasizing the need for individuals to adapt their strategies for wealth accumulation over the next five years as economic conditions evolve [2]. Group 1: Macro Economic Insights - Pan Helin, an economist, highlights a paradigm shift in wealth generation from "scale-based wealth" to "cognitive barriers," indicating that the logic of making money will fundamentally change by 2026 [3]. - He identifies four critical crossroads for the future: prioritizing safety over growth, transitioning from demographic dividends to talent dividends, moving from wealth concentration to shared prosperity, and shifting from being the world's factory to engaging in global competition [3]. - Pan proposes three new coordinates for wealth logic in 2026: shifting focus from geographical location to ecological positioning, from asset scale to cognitive barriers, and from leverage ratios to safety margins [3]. Group 2: Regional Economic Opportunities - Nie Huihua, a professor, emphasizes the importance of making informed choices regarding cities and investment opportunities, particularly in the context of county-level economies and regional dynamics [5]. - He aims to establish a standard system for identifying "good places" to invest, ensuring that each decision contributes positively to future wealth accumulation [5]. Group 3: Multi-Asset Allocation Strategies - Jeff, a financial podcaster, addresses the dual challenges of income generation and risk management for the middle class, advocating for a multi-asset allocation strategy to enhance long-term success and reduce volatility [6]. - He critiques the risks associated with concentrated investments in single asset classes, such as real estate or stocks, and explains how multi-asset allocation can mitigate these risks while optimizing returns [6]. - Jeff emphasizes the significance of human capital and suggests aligning investment portfolios with individual career attributes to create a robust risk management strategy for the middle class [6].

Core Viewpoint - The article emphasizes the importance of collaboration and platform support in the private equity investment sector, highlighting how融智投资 provides various resources and strategies to enhance investment opportunities and operational efficiency [8][12]. Group 1: Investment Strategies -融智投资 focuses on multi-strategy mechanisms and multi-asset allocation, allowing investment managers to develop diverse strategies collaboratively [8]. - The company supports a partnership model that shares platform resources, including brand, data, and channels, to enhance collective growth [9]. Group 2: Operational Efficiency -融智投资 leverages advanced analytical tools from its parent company to support daily investment research, ensuring that decisions are data-driven and well-supported [11]. - The company promotes a multi-channel fundraising model that includes institutional sales, direct connections with high-net-worth individuals, and online exposure, making fundraising more efficient [11]. Group 3: Platform Benefits - Joining融智投资 provides immediate access to platform empowerment, operational convenience, and brand endorsement, facilitating a more effective business development process [12][14]. - The company has over 20 years of experience in the private equity sector, which enhances its credibility and operational capabilities [13].

Core Viewpoint - The recent escalation of the Middle East situation has led to significant volatility in global financial markets, challenging the effectiveness of multi-asset strategies that have been increasingly adopted in wealth management and securities asset management [1] Group 1: Reasons for Simultaneous Decline in Major Assets - The global capital markets experienced substantial fluctuations, with major indices in A-shares and US stocks hitting new lows for the year, while bond yields rose and gold prices fell below $4100 [2] - The simultaneous decline in various asset classes is attributed to two main factors: the failure to achieve risk diversification despite asset diversification, and the increased correlation in trading behaviors among funds leading to liquidity shocks [3] Group 2: Is the Multi-Asset Strategy Failing? - The recent extreme market conditions have exposed blind spots in traditional multi-asset allocation strategies rather than indicating their failure [4] - The focus on asset diversification often overlooks the fact that different asset classes may be exposed to the same macroeconomic risk factors, leading to synchronized declines during significant macroeconomic shifts [5] Group 3: Insights and Adjustments for Investors - Investors are advised to be cautious of crowded assets and to extend diversification strategies beyond mere asset allocation to include factor diversification, addressing risks related to inflation, interest rates, and geopolitical events [7] - Future multi-asset strategies may evolve towards macro factor risk parity and stricter volatility constraints, enhancing the ability to respond to macroeconomic changes [8]

Group 1 - The core viewpoint of the article discusses the significant drawdowns experienced by macro-hedge funds, with some products reporting maximum drawdowns exceeding 20% this year, and specific products dropping to a net value of around 0.8 within two months of fundraising [1] - Bridgewater's products in China have also faced a drawdown of nearly 10% this month, which is considered relatively good performance compared to others with larger losses [2] - The article highlights that the recent liquidity shock has led to a broad market sell-off, affecting various asset classes, including gold, which has seen a drawdown of 24% [2] Group 2 - The necessity of multi-asset allocation is emphasized, particularly in a credit monetary era where currency devaluation and mild inflation create a systemic trend for liquidity to seek value across different asset classes [3] - The article argues that the correlation of assets tends to converge during panic, indicating that one should consider the complete cycle rather than dismiss long-term strategies based on extreme moments [4] - The core value of multi-asset strategies is to minimize significant mistakes and reduce portfolio volatility, helping investors avoid emotional trading decisions [5] Group 3 - The article notes a decline in trading activity in the A-share market, with transaction volumes dropping below 20 trillion, marking a new low for the year [20] - Institutional investors have been net redeeming fixed-income products for twelve consecutive trading days, indicating a shift in market sentiment [22] - The cooling of market enthusiasm is viewed as a potentially positive development, suggesting a more stable investment environment [24] Group 4 - The article mentions that Skoda is exiting the Chinese market, reflecting the challenges faced by foreign car manufacturers in keeping up with domestic competition [30]

Group 1 - The article discusses the upcoming conference focusing on various sectors including consumer services, technology, and investment strategies, highlighting the potential for growth and innovation in these areas [5][10][18]. - Key speakers from different research departments will present insights on topics such as service consumption, product innovation in beauty, and the impact of technology on household appliances [4][6][10]. - The conference aims to address the evolving landscape of consumer behavior and market dynamics, particularly in light of recent policy changes that favor traditional consumption patterns [5][6][10]. Group 2 - The event will feature discussions on the advancements in humanoid robotics and commercial aerospace, emphasizing the integration of technology in these fields [7][9][21]. - Insights into the agricultural sector will be provided, focusing on the potential for growth amidst rising commodity prices and changing market conditions [6][10]. - The conference will also explore macroeconomic trends and their implications for asset allocation strategies, particularly in a low-interest-rate environment [15][18]. Group 3 - The article outlines the significance of multi-asset allocation strategies in navigating market volatility and achieving stable returns [12][15]. - Discussions will include the role of artificial intelligence in quantitative investment strategies and the future of various commodity markets [18][19][21]. - The conference will also cover the outlook for the automotive industry, emphasizing the importance of innovation and sustainability in future developments [23][26].

1. Report Industry Investment Rating No relevant content provided. 2. Core Views of the Report - FOF has become a highly - concerned category in the public - offering industry since 2026, with its scale exceeding 30 billion yuan, and the initial offering scale of multi - asset FOF exceeding 6 billion yuan in 2026. The average initial offering scale of single - FOF has reached a new high since 2018, and it is expected to break the historical record in 2026 [3][7][11]. - The public - offering FOF has entered the 3.0 era, focusing on developing multi - asset FOF under the demand for absolute returns. Since 2025, the top 20 FOFs in terms of initial offering scale are all multi - asset strategies, with the weighted position of the benchmark below 25%, mostly around 10% [12][15]. - The main channels of multi - asset FOF include exclusive bank plans (such as the Changying Plan of China Merchants Bank, the Longying Plan of China Construction Bank, and the Huitou Plan of Bank of China) and Internet platforms (such as the Stable Wealth Management of Ant Fortune and the Dajiaying of Tencent Financial Management) [20][23]. - Compared with low - position fixed - income plus funds, multi - asset FOF has higher returns and better maximum drawdown control in the past six months. Although the two types of products have similar trends in most periods, the excess correlation between them weakens significantly in some periods [56]. - Multi - asset FOF can achieve absolute returns through dynamic trading and position adjustment. Most multi - asset FOF were not sensitive to gold in October 2025 but became more sensitive in January 2026, and the sensitivity of some FOFs decreased after mid - March [88]. - The challenges of multi - asset FOF include the poor performance of investable superior assets, limited QDII fund quotas, and QDII fund premiums [4]. - Based on the Bootstrap method, a multi - asset allocation scheme can be achieved by superimposing common requirements such as drawdown/Sharpe on the probability space of asset returns. The annualized return of the long - term portfolio is generally between 5% - 7% since 2019 [4]. 3. Summary According to the Directory 3.1 Multi - asset FOF: Product Positioning and Risk - return Preferences of 5 Major Channels - **Market Status**: In 2026, FOF has become a popular category in the public - offering industry. The total initial offering scale of public - offering funds is 260.404 billion yuan (274 funds), and the initial offering scale of FOF is 61.973 billion yuan (40 funds), accounting for 23.80% (14.60% in terms of quantity). The average initial offering scale of single - FOF is 1.549 billion yuan, a new high since 2018 [7][11]. - **Development Stages of Public - offering FOF**: It has gone through three stages: focusing on pension FOF before 2020, developing fixed - income plus FOF from 2020 - 2021, and developing multi - asset FOF since 2025 [15]. - **Product Channels**: - **Bank Exclusive Plans**: - **Changying Plan (China Merchants Bank)**: Launched in 2024, it provides a one - stop asset allocation solution with four product positions: Anwenying, Andingying, Anxinying, and Anyiying, each with different return targets, maximum drawdown targets, and equity positions [28][31]. - **Longying Plan (China Construction Bank)**: Launched in January 2026, it has four categories, with low - volatility multi - asset FOF and medium - low - volatility multi - asset FOF having existing targets, aiming to provide asset allocation services for mass investors [32][35]. - **Huitou Plan (Bank of China)**: Launched in January 2026, it creates four product lines: Huiwen (ultra - low - volatility positioning), Huiying (low - volatility positioning), Huili (medium - volatility positioning), and Huiyi (high - volatility positioning) [36][40]. - **Internet Platforms**: - **Stable Wealth Management (Ant Fortune)**: Aims for a return of 2% - 4%, mainly investing in fixed - income assets such as bonds, with a small amount of equity allocation. Currently, it mainly consists of pure - bond funds and first - tier bond funds, with few FOFs [44][48]. - **Dajiaying (Tencent Financial Management)**: Selects products based on users' actual profit situations, aiming for a return of over 4%. Currently, it mainly includes fixed - income plus funds, and Xingquan Youxuan Wenjian Six - month Holding is the only FOF selected so far [41][43]. 3.2 Strategy Comparison Analysis: How 15 Managers Achieve Absolute Returns - **Market Competitiveness**: Compared with low - position fixed - income plus funds, multi - asset FOF has a higher return of 2.27% and a better maximum drawdown of - 1.15% in the past six months, with a Calmar ratio of 4.68 [52][56]. - **Asset Allocation**: - **Equity Funds**: Some institutions mainly allocate active equity funds (such as Wells Fargo, E Fund), some mainly allocate passive funds (such as China Europe, GF Fund), some have a relatively balanced allocation (such as Xingquan, China Asset Management), and some do not directly invest in equity funds (such as Guotai, Southern Fund) [59]. - **Absolute Return and Bond Funds**: Some institutions prefer internal investment (such as Wells Fargo, China Europe), some prefer to allocate fixed - income plus funds (such as E Fund, GF Fund), and some do not allocate fixed - income plus funds (such as Guotai, Boshi) [69]. - **Commodity Funds**: Most institutions allocate gold, nearly half also allocate soybean meal ETFs. Guotai focuses on silver LOF, and Hua'an invests in energy - chemical ETFs and non - ferrous ETFs [70][73]. - **Direct Stock Investment**: Only nine representative products choose to invest directly in stocks, with high differentiation in configuration themes [76]. 3.3 Thoughts on the Product: 3 Challenges and the Application of the Multi - asset Back - testing Control Model - **Challenges**: - **Poor Performance of Investable Superior Assets**: When the US stocks and gold assets fluctuated in 2025, FOF also suffered drawdowns, and the diversification effect of multi - assets was limited [101][102]. - **Limited QDII Fund Quotas**: Domestic fund companies have limited QDII quotas, and multi - asset FOF cannot freely allocate QDII funds [103]. - **QDII Fund Premiums**: There have been three periods of high premium rates in history (2020, 2024, and 2025), mainly related to the overseas investment boom [107][108]. - **Multi - asset Back - testing Control Model**: Based on the probability space of asset returns, by superimposing common requirements such as drawdown/Sharpe, a multi - asset allocation scheme under the Bootstrap method can be achieved. Different drawdown targets (2%, 3.5%, 5%, 15%) lead to different asset allocation characteristics [110][111].

Core Viewpoint - The FOF market is expected to experience a strong recovery in 2025, with over 80 new funds launched and a total fundraising scale of 800 billion yuan, highlighting the increasing importance of multi-asset allocation for clients [1] Multi-Asset Allocation Core - Multi-asset allocation emphasizes diversification across various asset types, including global equity markets and flexible fixed income investments, as well as commodities and alternative investments [3] - The core of multi-asset allocation lies in understanding macroeconomic and industry cycles, along with risk control capabilities, which are dynamic rather than static [3][5] Multi-Strategy Approach - Multi-strategy provides another dimension to multi-asset allocation, with common strategies including CPPI, risk parity, and macro allocation strategies [4] - The essence of multi-asset allocation is to seek heterogeneous returns and risk sources to reduce volatility and risk [5] Sources of Returns in Multi-Asset Allocation - Returns from multi-asset allocation can be broken down into two core dimensions: the ability to grasp trends in individual asset categories and top-down macro allocation capabilities [8] - For equities, understanding industry trends and cycles is crucial, while fixed income requires a comprehensive assessment of macro variables like interest rate risk and economic growth [8] Effective Multi-Asset Allocation - Effective multi-asset allocation should focus on diversifying into heterogeneous assets like bonds and gold to lower portfolio volatility and risk [12] - It is essential to conduct sector rebalancing based on different industry and economic cycle characteristics, as well as asset price-performance ratios [12]

Quantitative Models and Construction Methods 1. Model Name: Risk Parity Strategy - **Model Construction Idea**: The model aims to allocate risk equally across asset classes, ensuring that no single asset class dominates the portfolio's risk exposure[4][59]. - **Model Construction Process**: - Identify risk factors such as growth, inflation, interest rates, and liquidity[59]. - Allocate capital to asset classes (e.g., equities, bonds, commodities) based on their risk contribution rather than nominal weights. - Use derivatives to adjust exposures and maintain risk parity across the portfolio[59]. - **Model Evaluation**: Demonstrates strong performance in diversified portfolios, particularly in volatile markets, by balancing risk exposure across asset classes[59]. 2. Model Name: Multi-Factor Framework (Mixed Strategy) - **Model Construction Idea**: Combines quantitative frameworks with subjective judgment to adjust asset allocation based on macroeconomic and fundamental indicators[58][59]. - **Model Construction Process**: - Use macroeconomic data (e.g., GDP, inflation, employment) and alternative data (e.g., climate change, central bank meetings) to generate signals through natural language processing[58]. - Incorporate fundamental indicators such as bond yields, credit risk, earnings growth, and valuation levels for specific asset classes[58]. - Adjust baseline quantitative weights based on subjective views to capture short-term opportunities[58]. - **Model Evaluation**: Provides flexibility to adapt to changing market conditions while maintaining a systematic foundation, offering a balance between stability and opportunism[58]. 3. Model Name: Covered Call Strategy (Income Strategy) - **Model Construction Idea**: Focuses on generating stable cash flows by combining equity holdings with options strategies[58]. - **Model Construction Process**: - Invest in high-dividend stocks to capture equity beta returns. - Sell call options on the underlying stocks to generate premium income. - Maintain a balance between equity exposure and option coverage to optimize risk-adjusted returns[58]. - **Model Evaluation**: Suitable for investors seeking stability and income, with lower volatility compared to pure equity strategies[58]. --- Model Backtesting Results 1. Risk Parity Strategy - **Fidelity Risk Parity Fund**: - 1-month return: -0.09% - 3-month return: 5.20% - 6-month return: 11.51% - YTD return: 4.72% - 1-year return: 21.37% - 1-year volatility: 11.55% - 1-year max drawdown: 3.46% - Return/volatility: 1.85 - Return/max drawdown: 2.29[68] - **Invesco Balanced-Risk Allocation Fund**: - 1-month return: 6.61% - 3-month return: 12.35% - 6-month return: 17.22% - YTD return: 12.62% - 1-year return: 19.20% - 1-year volatility: 8.91% - 1-year max drawdown: 3.74% - Return/volatility: 2.15 - Return/max drawdown: 2.49[68] 2. Multi-Factor Framework (Mixed Strategy) - **PIMCO Global Core Asset Allocation Fund**: - 1-month return: -0.77% - 3-month return: 5.68% - 6-month return: 11.56% - YTD return: 3.68% - 1-year return: 21.30% - 1-year volatility: 9.20% - 1-year max drawdown: 3.58% - Return/volatility: 2.32 - Return/max drawdown: 2.34[68] - **Blackrock Tactical Opportunities Fund**: - 1-month return: 1.69% - 3-month return: 3.38% - 6-month return: 1.19% - YTD return: 2.59% - 1-year return: 7.20% - 1-year volatility: 6.37% - 1-year max drawdown: 2.56% - Return/volatility: 1.13 - Return/max drawdown: 1.27[68] 3. Covered Call Strategy (Income Strategy) - **PIMCO Dividend and Income Fund**: - 1-month return: 0.13% - 3-month return: 5.70% - 6-month return: 10.28% - YTD return: 4.60% - 1-year return: 19.11% - 1-year volatility: 7.56% - 1-year max drawdown: 2.66% - Return/volatility: 2.53 - Return/max drawdown: 2.75[68] --- Quantitative Factors and Construction Methods 1. Factor Name: Growth - **Factor Construction Idea**: Measures economic expansion through GDP growth and corporate earnings[59]. - **Factor Construction Process**: - Collect macroeconomic data on GDP and corporate earnings. - Normalize data to account for seasonal and cyclical variations. - Use the factor to overweight equities and commodities during periods of strong growth[59]. 2. Factor Name: Inflation - **Factor Construction Idea**: Captures the impact of rising prices on asset classes such as bonds and commodities[59]. - **Factor Construction Process**: - Track inflation indicators such as CPI and PPI. - Adjust bond and commodity exposures based on inflation trends. - Hedge inflation risk using TIPS or commodity futures[59]. 3. Factor Name: Liquidity - **Factor Construction Idea**: Assesses market liquidity conditions to optimize asset allocation[59]. - **Factor Construction Process**: - Monitor central bank policies, interest rates, and money supply. - Increase exposure to liquid assets during tightening cycles. - Use derivatives to manage liquidity risk[59]. --- Factor Backtesting Results 1. Growth Factor - Positive correlation with equity and commodity returns during periods of economic expansion[59]. 2. Inflation Factor - Strong performance in inflationary environments, particularly for TIPS and commodities[59]. 3. Liquidity Factor - Effective in managing drawdowns during periods of market stress by increasing exposure to liquid assets[59].

Industry Landscape - The public FOF industry is entering a second expansion cycle, with significant changes in the supply-side landscape. Since the first public FOF issuance in October 2017, the industry has experienced cycles of expansion (2020-2021), contraction (2022-2024), and is now in a new expansion phase starting in 2025. By the end of 2025, the number of public FOF products is expected to rise to 547 (up 134% year-on-year), with total assets reaching 244.1 billion yuan (up 231% year-on-year), breaking historical records. The main contributor to this growth is the mixed bond FOF category [2][7][9]. Risk and Return - In 2025, the performance of mixed bond FOFs is expected to outperform traditional "fixed income+" funds. The median return for mixed bond FOFs is projected to be 6.06%, compared to 4.65% for secondary bond funds and 5.49% for mixed bond funds. The asset allocation characteristics of mixed bond FOFs, with a stock position of 17% as of the first half of 2025, are similar to those of "fixed income+" funds, making them a common comparison in the market [2][13]. Innovative Products - The trend of passive investment continues, with ETF-FOF gaining widespread attention. By the end of 2025, the ETF market is expected to exceed 6 trillion yuan (up 62% year-on-year), with 1,381 products (up 34% year-on-year). The increasing completeness of passive investment tools is driving public FOFs towards new product forms, with 13 ETF-FOF products established and 19 more in the application or acceptance stage as of February 27, 2026 [3][18]. 2026 Outlook for Public FOF Industry - The public FOF industry is poised for development opportunities under the narrative of asset allocation. The focus will be on achieving higher performance through a combination of Beta allocation and selective fund manager alpha. The current market environment still offers significant alpha opportunities, and the ability to select capable fund managers will be crucial for performance enhancement [4][21][22]. Funding Sources - Retail investors are the primary source of funding, with institutional investors playing a supplementary role. Public FOF products are naturally more suited to individual investors due to their two-layer nested structure and ability to address selection difficulties. In 2025, the proportion of individual investors in mixed bond FOFs and mixed equity FOFs is around 95%. The focus for public FOF managers will be on retail channels, particularly banks, to attract low-risk preference funds [5][34][38].