Core Viewpoint - The investment philosophy of the company emphasizes stability and long-term gains over short-term high returns, advocating for low-volatility products that can yield consistent profits for investors [1][2][11]. Group 1: Investment Strategy - The company has shifted its focus from high-volatility products to low and medium-volatility strategies, such as quantitative convertible bond strategies and quantitative hedging strategies, which have proven to be more stable and risk-controlled [1][3]. - The founder believes that the core goal of investing is not to seek short-term excitement but to ensure that investors can "hold on, sleep well, and make money" [1][2]. - The company has developed a "valuation-momentum-risk parity" decision-making system to ensure that investment strategies remain resilient across various macroeconomic environments [3]. Group 2: Risk Management - The company employs a comprehensive risk management framework that integrates artificial intelligence and big data analysis to maintain a high level of sensitivity and responsiveness to market fluctuations [3][4]. - A compliance intelligent recognition module has been added to the risk management system to automatically scan for potential compliance risks, thereby creating a proactive regulatory defense line [5]. - The company emphasizes that risk management is not about limiting returns but about protecting compound growth [5]. Group 3: Performance Metrics - The flagship product, "Youmeili Win Value No. 1 A-Class Share," has achieved a cumulative return of over 150% and an annualized return exceeding 15% since its inception over six years ago [6]. - The company believes that controlling drawdowns effectively allows for the natural compounding of returns, leading to significant long-term growth [6][10]. - The company has maintained a "zero default" record in bond investments over the past decade, attributing this success to disciplined risk management and systematic monitoring of market indicators [7]. Group 4: Technological Integration - The company has invested heavily in technology, with technology expenditures accounting for half of its profits, and has established a complete chain from data collection to risk control [10][11]. - The team comprises members with backgrounds in computer science, mathematics, and financial engineering, which enhances the company's technological capabilities [10]. - The company aims to build a competitive edge through systematic and automated execution capabilities, positioning technology as a foundational element of its investment strategy [10][11].

Core Viewpoint - The investment philosophy of the company emphasizes stability and long-term gains over short-term volatility, with a focus on low-volatility products that can yield consistent returns for investors [1][2][10]. Group 1: Investment Philosophy - The founder of the company, He Jinlong, believes that the core goal of investing is not to chase short-term excitement but to ensure that investors can "hold on, sleep well, and make money" [1]. - The company has developed a multi-asset quantitative system that prioritizes risk control and stable returns, demonstrating that low volatility does not equate to low returns [6][9]. Group 2: Performance Metrics - The flagship product, "Youmeili Win Value No. 1 A-Class Share," has achieved a cumulative return of over 150% and an annualized return exceeding 15% since its inception over six years ago [6]. - The company has maintained a record of "zero defaults" in bond investments over the past decade, attributing this success to disciplined risk management and a systematic approach [7]. Group 3: Risk Management - The company employs a "valuation-momentum-risk parity" decision-making framework, which aims to balance risk contributions across different assets to maintain resilience in various macroeconomic environments [3]. - An AI-driven risk control and timing management system has been developed to analyze market sentiment and optimize trading efficiency, significantly enhancing execution speed compared to manual trading [4][5]. Group 4: Technological Integration - The company invests heavily in technology, with half of its profits allocated to technological advancements, establishing a complete chain from data collection to risk control [9]. - The team comprises members with backgrounds in computer science, mathematics, and financial engineering, which supports the development of automated execution systems [9][10]. Group 5: Long-term Strategy - The company focuses on a long-term investment strategy, avoiding high-volatility products and instead opting for a diversified approach that includes various strategies such as convertible bonds and quantitative neutral strategies [8][10]. - The belief in compounding returns and the importance of managing drawdowns are central to the company's investment approach, aiming for consistent annual returns rather than chasing high short-term gains [2][6].

Report Industry Investment Rating No relevant content provided. Core Viewpoints of the Report - In the second half of 2025, the uncertainty of domestic and foreign policies improved. With the improvement of global liquidity and the stabilization of the domestic economy, the diversification effect among stocks, bonds, and commodities significantly recovered since mid - year, and the effectiveness of asset allocation increased. The overseas policy path became clearer, the Fed entered the interest - rate cut cycle, and major economies increased fiscal expansion, driving the global economy to show signs of mild recovery and supporting emerging market demand. In this context, market risk appetite recovered, and the resonance risk of assets decreased. The external environment for macro - hedging strategies improved significantly compared to the beginning of the year, and profits were achieved in the second half of the year [2]. - In 2026, the allocation cost - performance of macro - hedging strategies will increase. Risk - parity strategies have more bottom - position value in an environment where asset correlations decline, which can balance return acquisition and drawdown control. However, the market may still experience periodic fluctuations, so it is necessary to pay attention to whether the manager has a perfect tail - risk protection mechanism. In the pattern where asset differentiation reappears, moderately increasing the allocation of asset - rotation managers with single - asset alpha - capture ability can enhance the portfolio's return elasticity and optimize the risk - return structure [3]. Summary According to the Table of Contents 1. Review of the Performance of Macro - Hedging Strategies in 2025 1.1 Review of the Performance of Risk - Parity and Asset - Rotation Strategies - The "risk - parity" index of domestic macro - hedging managers had a net value of 1.172 as of November 28, 2025. The weekly average return was 0.36%, with an annualized value of 20.29%, and the weekly volatility was 1.41%, with an annualized volatility of 10.15%. The cumulative maximum drawdown was - 4.09%, reaching the bottom in the week after April 11 (Tomb - Sweeping Festival). The "asset - rotation" index had a net value of 1.101. The weekly average return was 0.21%, with an annualized value of 11.72%, and the weekly volatility was 0.93%, with an annualized volatility of 6.67%. The cumulative maximum drawdown was - 3.73%, reaching the bottom on May 23. Overall, the performance of risk - parity strategies was better than that of asset - rotation strategies in 2025, but the volatility was also greater [6][7]. - For risk - parity macro - hedging managers, the average weekly return was positive in 30 weeks and negative in 16 weeks from January 3 to November 28, 2025. The highest single - week return was 5.87%, occurring in the week of May 23, mainly due to the sharp increase in gold prices, and the maximum single - week drawdown was - 2.35%, occurring after the Tomb - Sweeping Festival on April 11. For asset - rotation macro - hedging managers, the weekly return was positive in 25 weeks and negative in 20 weeks. The highest single - week return was 2.57%, also occurring after the Spring Festival in February, and the maximum single - week drawdown was - 2.06%, occurring in the week of November 21, following the stock decline that week [8]. - The performance of macro - hedging strategies was differentiated in the first and second halves of the year, with the second - half performance being significantly better. In the first half, due to high macro - volatility and global macro - uncertainties, the drawdown and volatility of risk - parity managers were greater than those of asset - rotation managers. After the Tomb - Sweeping Festival, the net values of the two strategies diverged significantly. In the second half, the stock - bond bull market and the continuous strengthening of gold after the third quarter led to a significant increase in the returns of macro - hedging strategies. After September, the risk - parity strategies outperformed the asset - rotation strategies due to their passive holding of gold positions, but the overall volatility was also greater [9]. 1.2 Review of the Performance of Subjective and Quantitative Strategies - As of November 28, 2025, the cumulative net value of the quantitative macro - hedging index was 1.128, and that of the subjective macro - hedging index was 1.118. The average weekly return of the quantitative macro - index was 0.27%, with a weekly volatility of 0.98% (annualized volatility of 7.06%). The average weekly return of the subjective macro - index was 0.25%, with a weekly volatility of 1.03% (annualized volatility of 7.46%). The single - week maximum return of the quantitative macro - hedging index was 3.36% on May 23, and the maximum single - week drawdown was - 2.47% after the Tomb - Sweeping Festival on April 11. The maximum single - week return of the subjective macro - hedging index was 3.00% on February 7, and the maximum single - week drawdown was - 2.37% on November 21 [12]. - In terms of return and drawdown, the volatility of the two strategies was similar. In the market in 2025, the return differences between the two strategies were not significant, but the market conditions affecting the returns were slightly different [13]. 2. Review of Macro - Hedging Strategies and Market Conditions in 2025 2.1 Domestic Macro - Hedging Strategies 2.1.1 Analysis of the Correlation between Macro - Hedging Strategies and Major Asset Classes - In 2025, the negative correlation between bonds and equity indices weakened compared to the end of last year. Commodities were positively correlated with stock indices, negatively correlated with bonds, and positively correlated with gold. Gold was negatively correlated with equities and had a higher correlation with bonds compared to the end of last year, indicating its status as a primary safe - haven asset. Overall, asset correlations showed further differentiation in 2025 [18]. - The weekly return of the risk - parity index had the highest correlation with the return of the gold ETF, reaching 0.453, followed by the CSI Commodity Index and the SSE 50 Index, reaching 0.441 and 0.230 respectively. So, the returns of risk - parity strategies mainly relied on gold this year. In contrast, the asset - rotation index had the highest correlation with the CSI 1000 Index, reaching 0.641, and a much higher correlation with the SSE 50 Index than the risk - parity strategies, reaching 0.628. Therefore, the returns of asset - rotation managers were more dependent on their equity exposure. The exposure of both strategies to bonds decreased compared to the first half of the year [19]. 2.1.2 Review of Macro - Hedging Strategies and Equity Assets - In 2025, the asset - rotation strategy was more dependent on stocks for returns than the risk - parity strategy. The A - share market showed a trend of first falling and then rising. As of November 28, 2025, the CSI 1000 Index had a higher increase than the SSE 50 Index, with a net value of 1.304 after normalization at the beginning of the year, while the SSE 50 Index was 1.199. The weekly average return of the SSE 50 Index was 0.40%, with a volatility of 1.66% (annualized volatility of 11.96%), and the weekly average return and volatility increased compared to mid - year. The weekly average return of the CSI 1000 Index was 0.60%, with a volatility of 2.61% (annualized volatility of 18.8%), and the weekly average return increased while the volatility decreased compared to mid - year [21]. - In the first quarter, the stock market fluctuated and differentiated, with risk appetite recovering but volatility also increasing significantly. The market showed an overall upward - fluctuating trend, and the macro - hedging strategies diverged, with the risk - parity index being dragged down by bonds and commodities and performing weakly, while the asset - rotation index benefited from the growth market. In the second quarter, the market was affected by policy disturbances and trade risks, with significant fluctuations. The macro - hedging strategies also showed differentiation. In the third quarter, driven by the "anti - involution" policy, the stock market rose strongly, and the macro - hedging strategies generally benefited. In the fourth quarter, the market adjusted, and the macro - hedging strategies faced drawdowns [22][23][24][25]. 2.1.3 Review of Macro - Hedging Strategies and Treasury Bond Assets - The correlation between the risk - parity strategy and the 10 - year Treasury bond futures was 0.221, while that of the asset - rotation strategy was - 0.068. Many managers believed that the Treasury bond market had entered a bear market, so asset - rotation managers mostly reduced or shorted Treasury bonds, while risk - parity strategies still held bond positions [28]. - In the first quarter, the bond market adjusted at a high level. Most macro - managers actively reduced bond durations, with risk - parity strategies slightly reducing positions and asset - rotation strategies starting to reduce or short bond assets. In the second quarter, the bond market fluctuated at a high level. In May, the risk - parity managers who held Treasury bonds achieved positive returns, while the asset - rotation managers had drawdowns. In the third quarter, the bond market was under pressure, but the macro - hedging managers were not significantly affected. In the fourth quarter, the bond market showed a short - term recovery with limited space. The risk - parity managers obtained some returns from the bond market recovery in October, while the asset - rotation managers had slightly lower returns due to their low bond allocation [28][29][30][31]. 2.1.4 Review of Macro - Hedging Strategies and Commodity Assets - From January 3 to November 28, 2025, the normalized cumulative net value of the CSI Commodity Index was 1.087. The correlation between the risk - parity index and the CSI Commodity Index was 0.441, and that of the asset - rotation strategy was 0.506. Commodities had a greater impact on asset - rotation strategies, but the correlations decreased compared to mid - year [33]. - In the first half of 2025, the commodity index trended weakly with high volatility. The asset - rotation managers with short positions in industrial products performed better. In the third quarter, driven by the "anti - involution" policy, the commodity market rose and then partially corrected, and many macro - hedging strategies obtained some returns. In the fourth quarter, the commodity market consolidated, and the contribution of commodities to macro - hedging strategies was not significant, but there were some drawdowns in November [33][34][35]. 2.1.5 Review of Macro - Hedging Strategies and Gold ETF Assets - In 2025, gold reached new highs and was one of the strongest - performing assets. The cumulative net value of the gold ETF from January 3 to November 28, 2025, was 1.588. The correlation between the risk - parity strategy and the gold ETF was 0.453, while that of the asset - rotation strategy was 0.110. Gold had a much greater impact on risk - parity strategies, and the asset - rotation managers were more willing to participate in the equity market. Compared to mid - year, the correlations of both strategies with the gold ETF decreased, with the asset - rotation strategy showing a larger decrease [37]. - In the first quarter, gold fluctuated strongly. Although it contributed positively to the macro - hedging strategies, the contribution was limited due to low positions. In the second quarter, gold was supported by weak US economic data and geopolitical risks, bringing positive returns to the strategies but being partially offset by the drawdowns of equity and commodity assets. In May, gold entered an adjustment phase, and the risk - parity strategies faced relatively large drawdowns. In the third quarter, gold fluctuated and consolidated, and its contribution to the strategies was limited. In the fourth quarter, gold maintained a strong pattern. In October, the risk - parity strategies benefited significantly from the new high of gold, while the asset - rotation managers had a weaker increase in returns. In November, there were some drawdowns due to the gold price correction [38][39][40][41][42]. 2.2 Overseas Macro - Hedging Strategies 2.2.1 Review of Overseas Macro - Hedging Strategies - As of October 2025, the net value of the "unidentified" macro - hedging index was 1.088, with a monthly average return of 0.86% (annualized to 10.88%), a monthly volatility of 1.44% (annualized volatility of 4.97%), and a maximum monthly drawdown of - 1.10% in April. The net value of the "subjective" macro - hedging index was 1.129, with a monthly average return of 1.23% (annualized to 15.81%), a monthly volatility of 1.41% (annualized volatility of 4.90%), and a maximum drawdown of - 1.68% in March. The net value of the "quantitative" macro - hedging index was 1.159, with a monthly average return of 19.55%, a monthly volatility of 1.54% (annualized volatility of 5.35%), and a maximum drawdown of - 0.77% also in April. Overall, the quantitative macro - hedging strategy performed the best, followed by the subjective strategy, and the overall returns were similar to those in the domestic market [45][46]. 2.2.2 Analysis of the Correlation between Overseas Macro - Hedging Strategies and Major Asset Classes - In 2025, from January to October, the S&P 500 and the GSCI Commodity Index had a positive correlation, while they were negatively correlated with the US Treasury bond index and New York gold. The US Treasury bond index was negatively correlated with the commodity index. The return of gold had a low correlation with stocks, bonds, and commodities, and its correlation with the S&P 500 changed from positive to negative compared to mid - 2025 [49]. - The return of the unidentified macro - hedging index had a more balanced correlation with major asset classes, with a near - zero correlation with New York gold. The subjective macro - hedging index had a high correlation with the S&P 500 (0.792) and a negative correlation with New York gold, indicating that its returns were more dependent on the overall performance of the US stock market. The quantitative macro - hedging index also had a high correlation with the S&P 500 (0.627) and the GSCI (0.300), but a negative correlation with US Treasury bonds and gold, suggesting that its returns were also more related to the US stock market, and overseas macro - hedging managers' returns did not seem to rely much on the gold market this year [50]. 2.2.3 Review of Overseas Macro - Hedging Strategies and US Assets - The S&P 500 was the asset most correlated with the subjective and quantitative macro - hedging strategies. The overseas equity market performed well in 2025, and the S&P 500 index rose by about 16.7% during the year, bringing significant returns to overseas macro - hedging strategies [52][53]. - The US Treasury bond market was mainly traded around interest - rate cut expectations. The short - term interest rates declined, while the long - term interest rates remained relatively high, resulting in a bull market in US Treasury bonds and bringing returns to some overseas macro - hedging strategies [55]. - The GSCI index was more correlated with the unidentified and quantitative macro - hedging indices and negatively correlated with the subjective macro - hedging index. The GSCI index performed weakly and was volatile, and its decline in April affected the net values of some overseas macro - hedging managers [59]. - Only the unidentified macro - hedging strategy had a positive correlation with New York gold, while the subjective and quantitative macro - hedging strategies had negative correlations. The strong performance of gold this year seemed to have a weak correlation with the returns of overseas macro - hedging strategies. Although gold reached new highs in April and October, the increase in April did not offset the losses of overseas macro - hedging strategies [62]. 3. Conclusion and Investment Outlook 3.1 Judgment on Macro - Hedging Strategies in 2026 - Since the transition from mid - year to the fourth quarter, the correlation between assets has decreased significantly compared to mid - year, and the diversification effect among stocks, bonds, and commodities has gradually recovered. With the stabilization of the domestic economy and the improvement of the global liquidity environment, the three major asset classes have shown more differentiated performance, and the effectiveness of asset allocation has increased [64]. - In 2026, the overseas policy path will be clearer, with the Fed entering a continuous interest - rate cut cycle and major economies increasing fiscal expansion, driving the global economy to show signs of mild recovery. The domestic policy will focus on "anti - involution" and structural optimization. Under the improvement of the economy and liquidity, market risk appetite will recover, and the resonance risk between assets will decrease. The external environment for macro - hedging strategies will improve significantly compared to the beginning of the year [64][65]. 3.2 Investment Outlook - In 2026, the allocation value of macro - hedging strategies will increase, and the overall return cost - performance will rise. In the market environment where both gold and equities are at relatively high levels but still have continuous allocation value, macro - hedging strategies can balance return acquisition and drawdown control. Some investors are

Group 1 - The report highlights two main challenges for asset allocation in 2026: a long-term challenge of reduced hedging effectiveness between stocks and bonds due to low interest rates, and a short-term challenge of market risk preferences returning to the middle from extremes [10][15][16] - The report emphasizes the importance of increasing income and reducing volatility in a low interest rate environment, suggesting that income can be enhanced by broadening asset types, while volatility can be managed through refined risk management tools [17][18][29] Group 2 - The report discusses the shift in risk preferences, noting that in recent years, investor sentiment has polarized, but there is now a trend of returning to a more balanced risk appetite [15][42] - It suggests that low-volatility strategies should incorporate more flexibility, while high-volatility strategies need to focus on risk control, indicating a shift in investment focus towards mid-cap blue-chip stocks and commodities like gold [44][45] Group 3 - The report outlines a dual approach to asset allocation: passive strategies as a shield for risk diversification and active strategies as a sword for enhancing returns, particularly in the context of low interest rates and changing market dynamics [46][47] - It recommends focusing on commodities, overseas assets, and alternative investments like REITs to achieve better risk-adjusted returns in the current market environment [52][54]

Core Insights - Index investing is facing new challenges and opportunities, with the rapid development of the index market in China, where the number of ETFs has exceeded 1,400 and the cumulative scale has surpassed 5.7 trillion yuan by December 5, 2025 [1] - The complexity of index products has made it difficult for ordinary investors to select and allocate them effectively, leading to the need for standardized guidelines from exchanges [1] - Despite being passive investment tools, index products still require active selection and allocation strategies to mitigate risks associated with high volatility [1] Group 1: Market Trends and Challenges - The ETF-FOF (Fund of Funds) issuance is expected to accelerate, with a notable increase in product offerings after a period of stagnation [2] - The introduction of service-oriented solutions, such as fund advisory services, aims to guide investors in index allocation, exemplified by the "Zhineng Tianfu" brand launched by Huatai-PineBridge [2] - Investors have reported high volatility in many index products, emphasizing the importance of professional research and strategic timing in trading [1] Group 2: Index FOF Characteristics - Index FOF primarily invests in index funds, with a minimum of 50% of its net asset value allocated to ETFs and other index-related funds [3] - The diversification and asset allocation advantages of index FOF can help smooth out net asset value fluctuations and improve investor experience [3] - The performance of mixed FOF indices has shown resilience against market fluctuations, with a 40.12% increase from the base date to Q3 2025, compared to a 15.72% increase in the CSI 800 index [4] Group 3: Asset Allocation Strategies - Index FOFs can include a variety of asset classes, such as equity ETFs, bond ETFs, and commodity ETFs, reflecting a growing trend towards multi-asset allocation [5] - The performance benchmark for the "Huatai-PineBridge Multi-Asset Allocation FOF" includes a mix of indices, allowing for exposure to A-shares, Hong Kong stocks, fixed income, gold, and commodities [5] - The theory of asset allocation emphasizes the benefits of combining low-correlated assets to enhance risk-return characteristics, with research indicating that adding low-correlation assets can positively impact portfolio performance [6] Group 4: Dynamic Risk Management - Effective multi-asset allocation requires clear strategies for asset proportioning and dynamic adjustments based on market conditions [8] - The "risk parity" approach is recommended for asset allocation, ensuring equal risk contribution from different asset classes, which can enhance risk diversification [9] - Regular assessments of asset risk levels are necessary to maintain the desired risk distribution within the portfolio, adapting to changing market dynamics [9][11]

Core Insights - Multi-asset strategy private equity products have gained popularity in 2023, with 1,400 products registered from January to October, second only to stock strategy products [1] - The appeal of multi-asset strategies is attributed to significant global asset price fluctuations expected in 2024-2025, evolving investor demands for risk-return matching, and the search for absolute returns by long-term funds [1][8] Performance Overview - As of November 14, multi-asset strategy products have an average annual return of 20.37%, ranking just below stock strategies, with a slightly higher Sharpe ratio and lower volatility and drawdown [2][3] - The performance metrics for various strategies are as follows: - Stock Strategy: 29.54% average return, 93.14% positive return ratio, 35.96% volatility [3] - Multi-Asset Strategy: 20.37% average return, 91.73% positive return ratio, 25.84% volatility [3] - Composite Fund: 18.98% average return, 96.34% positive return ratio, 39.15% volatility [3] - Futures and Options: 13.79% average return, 82.49% positive return ratio, 48.73% volatility [3] - Bond Strategy: 8.46% average return, 92.10% positive return ratio, 11.76% volatility [3] Sub-strategy Performance - Among sub-strategies, macro strategies outperform in average return, positive return ratio, and Sharpe ratio [4] - Macro Strategy: 25.09% average return, 97% positive return ratio, 25.48% volatility [5] - Composite Strategy: 21.14% average return, 90.93% positive return ratio, 1.63 Sharpe ratio [7] - Arbitrage Strategy: 8.87% average return, 89.95% positive return ratio, lowest volatility and drawdown [7] Market Dynamics - The macro strategy focuses on dynamic allocation across major asset classes based on global macroeconomic analysis [6] - Bridgewater's "All Weather Strategy" exemplifies macro strategies, aiming for stable performance across different economic environments [6] - Local macro strategy firms like Honghu and Banxia are emerging as key players in the market [7] Challenges and Considerations - Successfully implementing multi-asset strategies requires more than just combining different assets; it necessitates creating a synergistic portfolio [8] - The complexity of the Chinese market, with significant differences in Sharpe ratios and economic cycles, demands experienced management and a tailored methodology [8] - A robust IT system covering research, trading, risk control, and operations is essential for distinguishing the capabilities of multi-asset strategy private equity firms [8]

Core Viewpoint - The current market presents a golden opportunity for multi-asset rotation, driven by structural opportunities in sectors like technology and manufacturing, alongside breakthroughs in hard tech fields such as AI and autonomous driving [1][2] Group 1: Market Opportunities - The equity market is experiencing accelerated sector rotation, creating structural opportunities in technology and scarce resources [2][4] - In the bond market, short to medium-term high-grade credit bonds are highlighted as core stable investment targets due to their stable yields and low interest rate sensitivity [1][2] - The upcoming fundraising for the FOF (Fund of Funds) product, 富国智恒稳健 90 天持有期 FOF, is designed to adapt to the current market conditions, providing a balanced approach for investors with moderate risk preferences [1][5] Group 2: Investment Strategy - The FOF product employs a "bond foundation + multi-dimensional enhancement" strategy, focusing on short to medium-term high-grade credit bonds to secure stable yields while avoiding interest rate volatility [2][3] - The investment framework includes a mix of equities, gold, and overseas assets to hedge against inflation and geopolitical risks, embodying a balanced offensive and defensive strategy [2][3] - The product's design emphasizes long-term investment success, with a 90-day holding period to encourage investors to focus on long-term strategies rather than short-term timing [3][5] Group 3: Manager Expertise - The fund manager, 石婧, brings 18 years of experience in the securities industry and 10 years in investment management, having developed a mature investment philosophy centered on stability and diversity [4] - Under her management, the 富国智申精选 3 个月持有 FOF has achieved a net value increase of 27.12% since 2023, significantly outperforming its benchmark [4] - The current asset allocation strategy focuses on high-grade credit bonds, technology, and scarce resources, with gold serving as a hedge against global monetary system restructuring [4][5]

Core Insights - The current market presents a golden opportunity for multi-asset rotation, driven by structural opportunities in sectors like technology and manufacturing, alongside breakthroughs in hard tech fields such as AI and autonomous driving, which open up long-term growth potential [1][2] - In the bond market, short to medium-term high-grade credit bonds are highlighted as core stable investment targets due to their stable yields and low interest rate sensitivity, with their value becoming increasingly apparent as funds return to allocation [1][2] - The investment landscape is characterized by a balance of opportunities and risks, necessitating a strategy that emphasizes redundancy and balanced responses to uncertainty [1][5] Multi-Asset Allocation Strategy - The core value of multi-asset allocation lies in using low-correlation asset combinations to hedge against nonlinear shocks, ensuring income support across various market scenarios [2] - The design of the 富国智恒稳健FOF product incorporates a "short to medium duration + high-grade credit bonds + yield strategy" to create a stable bond base, avoiding credit downgrades while locking in stable yield [2][3] - The product also includes allocations to equities, gold, and overseas assets, focusing on structural opportunities in technology and scarce resources, while gold and overseas assets serve as hedges against inflation and geopolitical risks [2][3] Risk Management and Selection Process - The robustness of the portfolio is supported by a professional selection process that combines quantitative and qualitative assessments, ensuring stability through a comprehensive evaluation of bond funds and stock funds [3] - A dual mechanism of "risk budgeting + deviation tracking" is employed to manage risks, setting predefined risk thresholds and dynamically allocating them across asset classes while monitoring deviations in real-time [3] - The 90-day holding period encourages investors to focus on long-term strategies rather than short-term timing, aligning with the essence of multi-asset "long-term winning" [3] Manager Expertise - The product's strength is attributed to the experience of fund manager 石婧, who has 18 years in the securities industry and 10 years in investment management, developing a mature philosophy of "stability as the foundation, diversity as the advantage" [4] - Under her management, the 富国智申精选3个月持有FOF has seen a net value increase of 27.12% since 2023, significantly outperforming the benchmark of 14.67%, demonstrating the effectiveness of the multi-asset allocation system [4] - The current asset allocation strategy focuses on high-grade credit bonds for stable returns, while targeting structural opportunities in technology and scarce resources, with gold serving as a hedge against global monetary system restructuring [4] Market Demand for Multi-Asset Allocation - As market uncertainty becomes the norm, multi-asset allocation has shifted from being optional to a necessity, with the 富国智恒稳健90天持有期FOF providing a robust framework tailored to local market characteristics [5] - The product, backed by experienced management and a strong research platform, serves as a suitable tool for ordinary investors seeking to achieve long-term stable returns in a complex market environment [5] - The fundraising for the product is set to conclude on December 1, making it an appealing choice for investors looking to preserve returns and navigate through market cycles [5]

Core Insights - The "fixed income +" funds have performed exceptionally well this year, with top products achieving returns of up to 45%, significantly outperforming pure bond funds and closely matching stock funds [1][2] - The industry remains optimistic about the development of "fixed income +" products next year, although return expectations are being adjusted to a range of 2%-5.5% [1][8] Performance Overview - Among approximately 3,700 "fixed income +" funds, over 3,500 have reported positive returns this year, with a median return of 3.56% as of November 20 [2] - The top 10% of "fixed income +" products have achieved returns exceeding 10%, with notable performers including Huaan Zhilian A/C and Huashang Shuangyi A/C, both exceeding 40% returns [2][3] Contribution Analysis - The contribution to the performance of typical "fixed income +" products shows that pure bonds contributed just over 1%, while equity contributions were around 3%, and convertible bonds contributed about 1% [4] - Some funds have successfully leveraged high stock and convertible bond ratios, while others have struggled, resulting in negative returns for certain products [5] Future Outlook - The "fixed income +" market is expected to continue growing, driven by a shift in investor preference towards stable assets with controlled risks amid declining deposit rates [8][9] - The anticipated contribution from pure bonds is expected to remain between 1-1.5%, while equity contributions are projected to be between 1-3% [9]

Core Viewpoint - The article emphasizes the significance of small to medium-sized private fund managers in the industry, highlighting the innovative strategies and risk management systems of Shanghai Sidaxinghui Private Fund Management Co., Ltd. [3] Company Overview - Shanghai Sidaxinghui Private Fund Management Co., Ltd. is a securities private fund company supported by the Shanghai State-owned Assets Supervision and Administration Commission and the China Chief Economist Forum [4] - The company is led by a team of experienced professionals, including Dr. Pang Yang, who has a PhD in Physics from Columbia University and extensive experience in quantitative modeling, and Ms. Cao Qingqing, who has a PhD in Computer Science from Shanghai Jiao Tong University [4][9] - The firm focuses on a classic all-weather strategy and has developed a unique Quantimental fundamental quantitative enhancement system [4] Core Team - The core team is composed of graduates from prestigious universities and aims to achieve long-term absolute return investment value for investors [9] Strategy Overview - The investment philosophy of Sidaxinghui is centered on "crossing cycles, steady and far-reaching," utilizing a quantitative all-weather enhancement strategy [13] - The firm emphasizes a deep understanding of cycles and systematic risk management in its investment approach [13] Core Strategies and Representative Products - The quantitative all-weather enhancement system has been refined since its launch in early 2019, achieving significant returns across different economic phases [17] - The company has launched a series of products, including "Tianji No. 1," which has shown impressive cumulative returns while maintaining strict risk controls [17] - The firm also offers auxiliary strategies that reflect its absolute return philosophy and showcase its multi-dimensional investment capabilities [18] Investment Framework - The investment framework combines Beta and Alpha, with Beta contributing approximately 70% and Alpha about 30% to the risk-return profile [22][23] Advantages - The team possesses a global perspective and local insights, combining international macro allocation with practical experience in the Chinese market [30] - The all-weather enhancement strategy integrates macro, fundamental, volume, and risk factors, achieving a dual-driven structure of risk parity and excess returns [31] - The firm has established a robust compliance and operational system backed by state-owned shareholders and leading custodians [33] - A long-termism and compounding culture is emphasized, focusing on providing investors with a stable investment experience [34] Continuous Evolution Capability - Sidaxinghui recognizes that long-term competitiveness comes from a systematic ability to evolve and adapt to market changes [35] - The company has implemented a data-driven closed-loop system for research, strategy, risk control, and execution [37] - Future plans include expanding global multi-asset layouts and exploring AI-driven asset pricing models [39]