Core Insights - The article highlights that hedge funds and active stock pickers have outperformed benchmark indices due to market volatility driven by tariff fluctuations, AI disruption fears, and geopolitical tensions in the Middle East [1][7][10]. Group 1: Market Conditions - The current market is characterized by high instability and multiple factors causing disruption, including tariff uncertainties, AI-related concerns impacting software and growth sectors, and escalating geopolitical tensions in the Middle East [5][6][9]. - The S&P 500 software and services index has dropped approximately 15% since late January, erasing nearly $1 trillion in market value due to fears surrounding AI's disruptive potential [6][9]. Group 2: Investment Strategies - Hedge funds employing short-term tactical strategies and active stock selection have achieved significant "alpha" returns, outperforming the S&P 500 index by nearly double in recent months [7][12]. - The Bloomberg All Hedge Index reported a nearly 3% increase in hedge fund performance, marking the best relative performance against the S&P 500 in over two years [12][16]. - Complex strategies such as risk parity and return stacking have shown superior performance compared to traditional buy-and-hold strategies, which have become less effective in the current volatile environment [5][6][11]. Group 3: Economic Indicators - Bond yields, credit spreads, and the S&P 500 index have remained relatively stagnant, contrasting with the dynamic nature of short-term tactical trading favored by institutional investors [2][17]. - The market is currently not a passive investment paradise but rather a phase where tactical opportunities exist amidst liquidity and directional challenges [8][18].

智通财经获悉，据高盛集团交易部门分析，上周五美股反弹、几乎收复周中大幅下跌的失地后，本周市 场或面临趋势跟踪型算法基金的进一步抛售压力。标普500指数已跌破触发商品交易顾问(CTA)抛售股 票的短期触发点。高盛预计，这类基于市场趋势而非基本面因素的系统性策略在未来一周仍将持续净卖 出股票，无论市场涨跌方向如何。 据高盛分析，若美股再度下跌，本周可能引发约330亿美元的抛售压力。该行数据显示，若市场压力持 续且标普500指数跌破6707点，未来一个月可能触发高达800亿美元的额外系统性抛售。具体来看，在市 场持平的情况下，商品交易顾问(CTA)本周预计将抛售约154亿美元的美国股票;即便股市上涨，这些基 于趋势跟踪的系统性策略基金仍预计抛售约87亿美元。 上周市场投资者焦虑情绪显著升温。其恐慌指数——该指标综合了标普一个月期隐含波动率、VIX波动 率、标普一个月期看跌/看涨期权偏度以及波动率期限结构斜率——上周四最新读数达9.22，这一数值 水平显示市场距离"极度恐慌"状态已近在咫尺。 图1 其他系统性策略群体仍存在显著的去风险空间。回顾过去一年数据，风险平价策略持仓位于第81百分位 水平，波动率控制策略则处于 ...

Core Viewpoint - The U.S. stock market is experiencing continued selling pressure despite a strong rebound, with Goldman Sachs indicating that trend-following funds may continue to sell this week, leading to increased volatility and potential market fluctuations [1][2]. Group 1: Trend Following and Selling Pressure - The S&P 500 index has triggered short-term thresholds for trend-following strategies (CTA), leading to expected net selling in the upcoming week regardless of market direction [1][2]. - Goldman Sachs estimates that if the market weakens, approximately $33 billion in selling could be triggered, while an upward movement could still result in about $8.7 billion in selling [1][2][5]. - The "threshold effect" indicates that if the S&P 500 falls below 6707 points, it could trigger an additional $80 billion in systematic selling over the next month, amplifying downward pressure on the market [2]. Group 2: Liquidity and Volatility - The liquidity in the S&P 500 has significantly decreased, with the top-of-book liquidity dropping from an average of approximately $13.7 million to about $4.1 million [3]. - The shift in options market positions from positive gamma to negative gamma is expected to exacerbate intraday volatility, as traders may need to buy on the way up and sell on the way down to hedge their positions [3]. Group 3: Other Systematic Strategies - Other systematic strategies, such as risk parity and volatility control, still have significant room to reduce positions, with current allocations at the 81st and 71st percentiles, respectively [4]. - These strategies are more dependent on sustained changes in realized volatility, which could lead to increased selling pressure if volatility remains high [4]. Group 4: Seasonal Factors and Retail Investor Behavior - Seasonal trends suggest limited support for the market, as February is historically a weaker month for the S&P 500 and Nasdaq 100 due to the decline in supportive fund flows from January [6]. - Retail investor activity has shown signs of cooling, with a recent net selling of approximately $690 million, indicating a decreased willingness to buy on dips compared to previous trends [6]. Group 5: Market Reactions and External Influences - The recent volatility in the market is partly attributed to the launch of new AI automation tools by Anthropic PBC, which has led investors to reassess disruption risks, affecting the valuations of software, financial services, and asset management stocks [7]. - Goldman Sachs notes that client inquiries have focused on systematic strategies and fund flows, reflecting a market environment where short-term price movements are more influenced by trading flows than by fundamentals [7].

来源：智通财经网 据高盛集团交易部门分析，上周五美股反弹、几乎收复周中大幅下跌的失地后，本周市场或面临趋势跟 踪型算法基金的进一步抛售压力。标普500指数已跌破触发商品交易顾问(CTA)抛售股票的短期触发 点。高盛预计，这类基于市场趋势而非基本面因素的系统性策略在未来一周仍将持续净卖出股票，无论 市场涨跌方向如何。 据高盛分析，若美股再度下跌，本周可能引发约330亿美元的抛售压力。该行数据显示，若市场压力持 续且标普500指数跌破6707点，未来一个月可能触发高达800亿美元的额外系统性抛售。具体来看，在市 场持平的情况下，商品交易顾问(CTA)本周预计将抛售约154亿美元的美国股票;即便股市上涨，这些基 于趋势跟踪的系统性策略基金仍预计抛售约87亿美元。 上周市场投资者焦虑情绪显著升温。其恐慌指数——该指标综合了标普一个月期隐含波动率、VIX波动 率、标普一个月期看跌/看涨期权偏度以及波动率期限结构斜率——上周四最新读数达9.22，这一数值 水平显示市场距离"极度恐慌"状态已近在咫尺。 力，加剧价格波动风险。 高盛交易台团队成员Gail Hafif和Lee Coppersmith上周五在致客户的报告中写道： ...

Group 1: Risk Parity Strategy Insights - Traditional risk parity strategies using stocks and bonds performed poorly in 2022 due to simultaneous declines in both asset classes and a shift to positive correlation[2] - Incorporating trend-following strategies into the risk parity framework can enhance risk-adjusted returns, increasing the Sharpe ratio from 0.56 to 0.63[4] - A three-asset combination of stocks, bonds, and optimized trend strategies showed the best long-term performance, balancing bond yield contributions with the adaptability of trend-following[4] Group 2: Methodology and Backtesting Results - The study utilized historical data from 1999 to 2023, comparing various portfolio configurations and employing a target portfolio volatility of 15%[3] - Trend-following strategies improved portfolio performance metrics, including a reduction in negative skewness and kurtosis, indicating better risk management[4] - Replacing bonds entirely with trend-following strategies led to a decrease in annualized returns by approximately 1.18 percentage points, primarily due to the strong performance of bonds from 2010 to 2020[32] Group 3: Optimized Trend Strategy Benefits - The introduction of a "spread optimization" filter in trend-following strategies significantly improved portfolio performance compared to standard trend strategies[38] - Using the optimized trend strategy resulted in a compound annual growth rate (CAGR) of 10.58%, compared to 8.46% for the traditional stock and bond combination[41] - The optimized trend strategy also enhanced risk-adjusted metrics, with a Sharpe ratio of 0.79 versus 0.56 for the traditional approach[41] Group 4: Inclusion of Commodities - Including commodities in the risk parity portfolio reduced the CAGR to 6.61%, but adding trend-following strategies improved returns to 7.30%[51] - The optimized trend strategy maintained its effectiveness even when commodities were included, demonstrating its complementary role in diversifying risk[57]

Asset Allocation Insights - Prioritize equity assets in asset allocation, with commodities showing long-term value and bonds requiring strict control of long-end risks[2] - A-shares are entering a "slow bull" phase supported by policy and debt-equity ratio advantages, while US stocks benefit from AI-driven efficiency gains[2] - Commodity prices are supported by AI-driven resource pricing, physical hoarding demand, and geopolitical "safety premiums"[2] Investment Strategies - Risk-seeking strategies should focus on "strong rate cuts + strong AI" combinations, emphasizing small and large-cap growth stocks and gold for high elastic returns[2] - Defensive strategies can adopt "strong rate cuts + weak AI" with long bonds, gold, and large-cap value stocks to secure stable returns and control drawdowns[2] - Low-volatility strategies may consider "weak rate cuts + weak AI" with cash and large-cap value stocks to lock in certain returns and avoid market volatility[2] Performance Metrics - Quadrant III (strong rate cuts + weak AI) shows the most stable performance with an annualized return of 16.67% and a Sharpe ratio of 2.48, with a maximum drawdown of -3.90%[11] - Quadrant I (strong rate cuts + strong AI) has a peak annual return of 40.15% in 2025, despite a -15% drawdown in 2023[11] - Quadrant II (weak rate cuts + strong AI) experienced a significant drawdown of -32.42% in 2023 but rebounded with a 29.35% return in 2025[11] Risk Considerations - Key risks include uncertainties in overseas monetary policy, geopolitical and trade disruptions, unexpected liquidity tightening, and potential tech valuation bubbles[54]

Core Viewpoint - The global asset allocation logic is shifting towards profit realization, with a priority on equity assets, while bonds require strict control of long-end risks [2] Group 1: Asset Allocation Strategy - Equity assets are prioritized in the current global asset allocation, supported by the debt-equity ratio advantage and policy support in A-shares, entering a "slow bull" phase [2] - The U.S. stock market benefits from AI efficiency dividends, leading to profit margin expansion, while the Japanese and Korean markets see significant profit upgrades due to their technology supply chain advantages [2] - Commodities are supported by AI-driven resource pricing reconstruction, physical hoarding demand, and geopolitical "safety premiums," maintaining a long bull market [2] Group 2: Macro Scenario and Investment Strategies - The macro scenario focuses on the continuation of the "AI narrative" and restrained interest rate cuts, with different risk preferences corresponding to four quadrants for investment layout [3] - Risk-seeking strategies can focus on a "strong rate cut + strong AI" combination, emphasizing mid-small cap growth, large cap growth, and gold for high elastic returns [3] - Conservative strategies may adopt a "strong rate cut + weak AI" defensive combination, centered on long bonds, gold, and large cap value stocks for stable returns and risk control [3] Group 3: All-Weather Strategy - The risk parity strategy allows for all-weather allocation, capturing the certainty of returns from bonds and gold during rate cut cycles while hedging against valuation volatility risks from the AI narrative [4] - The current domestic all-weather strategy combines short bonds as a base, with appropriate allocations to gold and equity assets, while closely monitoring uncertainties in overseas monetary policy and other risks [4]

Core Viewpoint - The article highlights the impressive performance of top hedge funds in 2025, particularly Bridgewater Associates, which achieved its highest annual return in 50 years, showcasing the effectiveness of diversified investment strategies in a volatile market [3][4]. Group 1: Bridgewater Fund Performance - Three Bridgewater funds ranked in the top five for annual returns, with the Bridgewater Asia Fund achieving a 37% return, the Bridgewater Pure Alpha II Macro Fund and Bridgewater China Fund both at 34%, significantly outperforming the Nasdaq 100 index, which rose about 20% during the same period [4][5]. - The Bridgewater All Weather Fund, utilizing a risk parity strategy, recorded a return of approximately 20%, also surpassing the S&P 500 index, which had a return of about 16%, ranking it 10th overall [4][5]. Group 2: Multi-Asset Multi-Strategy Investment - Despite the strong performance of U.S. stocks, many top financial institutions are increasingly favoring a multi-asset multi-strategy investment approach, which allows for flexible allocation across various assets and strategies to enhance returns [6]. - Funds employing this strategy, such as Exploration Capital and Oculus Fund, have also performed well, with Oculus Fund achieving a net return of 28.2% in 2025, maintaining positive returns for over 20 years [6]. Group 3: High Net-Worth Client Preferences - High net-worth clients are also gravitating towards multi-asset multi-strategy funds, leading to a continuous growth in this type of fund's scale [7]. - In 2025, the performance of various indices showed that the Hang Seng Index outperformed the S&P 500, and technology growth indices in A and Hong Kong markets significantly outperformed the Nasdaq 100 [7]. Group 4: Market Volatility and Risk Management - The S&P 500 experienced a maximum drawdown of nearly 19% in 2025, indicating increased volatility in the market, where each gain comes with higher risks [9]. - In contrast, A and Hong Kong stocks are seen as having improved risk-reward ratios, suggesting that diversifying investments can mitigate risks associated with single asset classes [10]. Group 5: Investment Accessibility - Hedge funds typically have high entry barriers, with minimum investments often set at 1 million, and in many cases, higher thresholds are required to access Bridgewater products [15]. - To democratize access to these investment strategies, platforms like Xueqiu have introduced tools like the "Three-Part Method," which allows ordinary investors to participate in diversified investment strategies with lower thresholds [16][17].

1. Industry Investment Rating No industry investment rating information is provided in the report. 2. Core Views - The commodity market is showing positive trends, with the China Commodity Price Index rising for eight consecutive months, indicating improved market supply - demand and increased business confidence [3]. - In the metal market, precious metals and industrial metals are rising, and copper prices are hitting new highs due to supply shortages [5]. - The bond market has a complex situation. In the short - term, there may be trading opportunities due to policy changes, but in the medium - term, it is likely to be slightly weak [28][29][30]. - The stock market in Hong Kong has a mixed performance, with the Hang Seng Index slightly up and the Hang Seng China Enterprises Index down [34]. 3. Summary by Directory 3.1 Macro Data - GDP growth rate in Q3 2025 was 4.8%, slightly lower than the previous quarter's 5.2% [1]. - In December 2025, the manufacturing PMI was 50.1%, and the non - manufacturing PMI was 50.2% [1]. - In November 2025, social financing scale was 24888 billion yuan, and new RMB loans were 3900 billion yuan [1]. - In November 2025, CPI increased by 0.7% year - on - year, and PPI decreased by 2.2% year - on - year [1]. 3.2 Commodity Investment 3.2.1 Comprehensive - China will continue to cooperate with Venezuela in various fields, and the China - Venezuela cooperation is protected by international and bilateral laws [2]. - Nine departments in China issued a notice to promote green consumption, with 20 specific measures [2]. - The US ISM manufacturing index in December 2025 dropped slightly, and new orders and employment continued to decline [3]. 3.2.2 Metal - Precious metals and industrial metals rose on Monday, with silver up over 6% and copper prices hitting new highs [5]. - Copper prices exceeded $13,000 per ton due to a strike in a Chilean copper mine and supply shortages [5]. - Battery - grade lithium carbonate and lithium hydroxide prices hit new highs in over two years on January 5 [7]. 3.2.3 Coal, Coke, Steel and Minerals - The Dalian Commodity Exchange will launch coking coal options after the holiday [9]. 3.2.4 Energy and Chemicals - Trump said the US may subsidize oil companies to rebuild Venezuela's energy infrastructure [10]. - It is predicted that the average price of US crude oil in 2026 will be $58.15 per barrel, and Brent crude oil will be $61.27 per barrel [10]. 3.2.5 Agricultural Products - Malaysia's palm oil reserves in December 2025 increased by 5.3% month - on - month to 2.99 million tons [12]. - Indonesia exported 20.85 million tons of crude and refined palm oil from January to November [12]. - The egg industry has not entered the stage of accelerated capacity elimination [12]. 3.3 Financial News 3.3.1 Open Market - On January 5, the central bank conducted 13.5 billion yuan of 7 - day reverse repurchase operations, with a net withdrawal of 468.8 billion yuan [13]. - In December 2025, the central bank net - injected 50 billion yuan through open - market treasury bond trading, 100 billion yuan through MLF, and 7.1 billion yuan through SLF [13][14]. 3.3.2 Key News - The CSRC held a symposium on the comprehensive prevention and control system of financial fraud in the capital market [15]. - The National Development and Reform Commission will support Yangtze River protection projects with over 100 billion yuan [16]. - In 2026, the issuance of local government bonds has started, and the issuance scale in the first quarter is expected to exceed 2 trillion yuan [18]. 3.3.3 Bond Market Review - The inter - bank bond market was weak, with most interest - rate bond yields rising and bond futures mostly falling [22]. - The exchange - traded bond market had mixed performances, with some bonds falling and some rising [22]. - The convertible bond index rose, and some convertible bonds had significant price changes [23]. 3.3.4 Foreign Exchange Market - The on - shore RMB against the US dollar rose 84 basis points to 6.9806 at 16:30 [27]. - The US dollar index fell 0.14% to 98.32, and most non - US currencies rose [27]. 3.3.5 Research Report Highlights - CITIC Securities believes that the final draft of the fund sales new rules may be a case of "bad news is good news" for the bond market [28]. - Xingzheng Fixed - Income suggests that the risk - parity strategy can achieve risk dispersion [29]. - Huatai Fixed - Income thinks the bond market is facing both positive and negative factors in 2026 [29]. 3.4 Stock Market - The Hong Kong Hang Seng Index rose 0.03% to 26347.24 points, and the Hang Seng Technology Index rose 0.09%, while the Hang Seng China Enterprises Index fell 0.22% [34]. - Southbound funds had a net purchase of 18.723 billion Hong Kong dollars, with Kuaishou and Xiaomi Group being the top net - bought stocks [34].

Summary of Key Points from the Conference Call Industry or Company Involved - The discussion revolves around asset correlation and its impact on investment strategies, particularly focusing on the bond and equity markets. Core Insights and Arguments 1. **Asset Correlation and Portfolio Returns** - Asset correlation significantly contributes to portfolio returns, especially under daily rebalancing, where negative correlation reduces volatility and enhances geometric mean returns. However, strong trends in assets may weaken the negative contribution, necessitating trend-based optimization in allocation [1][2][4]. 2. **Risk Parity Strategy** - The risk parity strategy should account for risk premiums arising from asset correlations to optimize weight allocation, improving the Calmar ratio and Sharpe ratio. The importance of correlation in pricing should not be underestimated for better allocation outcomes [1][5]. 3. **Diversification Benefits** - Increasing asset diversity can effectively lower maximum drawdowns. In stock-bond combinations, a low equity position shows a symmetrical effect, similar to financial products using a low proportion of convertible bonds and stocks to achieve long-term net value growth while controlling drawdowns [1][7][8]. 4. **Modeling Bond Yields with Correlation** - Asset correlation serves as a crucial feature in modeling single asset returns. Incorporating stock-bond correlation significantly enhances predictive accuracy, outperforming models that rely solely on bond characteristics [1][9]. 5. **Sampling Frequency for Correlation Calculation** - The calculation of asset correlation should consider sampling periods and frequencies, with weekly data being optimal for balancing noise and information. Tail dependency risks should also be monitored using Copula methods [1][10]. 6. **Statistical Significance of Stock-Bond Correlation** - The statistical significance of the negative correlation between stocks and bonds requires careful assessment, especially in the context of self-correlation factors that may distort results [1][11]. 7. **Tail Dependency Risk in Strategies** - Tail dependency risk, particularly in stock price movements, should be observed and characterized using Copula methods, as sudden changes in liquidity can lead to significant shifts in asset correlations [1][12]. 8. **Impact of Macroeconomic Factors** - The relationship between stocks and bonds is influenced not only by absolute inflation levels but also by the uncertainty of inflation and economic growth. Liquidity indicators effectively capture market liquidity stress and stock volatility changes [1][29][30]. 9. **Future Outlook for 2026** - The correlation between stocks and bonds in 2026 is expected to be influenced by macroeconomic policies and liquidity changes, with a recommendation for diversified investment strategies to manage potential volatility [1][34]. Other Important but Possibly Overlooked Content 1. **Market Indicators** - The development of high-frequency market indicators, such as interbank liquidity and volatility measures, provides insights into asset correlations and market conditions [1][31][32]. 2. **Historical Correlation Trends** - Historical data shows a notable negative correlation between stocks and bonds since 2018, with varying influences from inflation, liquidity, and institutional behaviors across different economic cycles [1][15]. 3. **Convertible Bonds and Stock Correlation** - Convertible bonds exhibit a strong positive correlation with underlying stocks, particularly when their valuation is at moderate levels, influenced by market conditions and investor behavior [1][17][20]. 4. **Gold's Relationship with A-Shares** - Gold has shown weak correlation with A-shares and A-class assets, which is significant for risk parity strategies as it aids in effective risk diversification [1][21]. 5. **REITs and A-Shares Correlation** - REITs have recently shown a negative correlation with A-shares, primarily due to the current investor structure focusing on fixed income rather than growth expectations [1][24]. This summary encapsulates the essential insights and findings from the conference call, highlighting the importance of asset correlation in investment strategies and the need for adaptive approaches in response to market dynamics.