——资产配置全球跟踪 2025 年 10 月第 1 期 本报告导读： 策 略 研 究 资产概览：资产分化显著，日股黄金新高 [Table_Authors] 方奕(分析师) 9/30-10/10，全球权益整体承压，日股逆势创新高。COMEX 白银年内涨幅破 60%， 黄金破 50%并首次站上 4000 美元/盎司高位。原油承压下行。日元大幅贬值 2.2%。 投资要点： 策略研究 /[Table_Date] 2025.10.13 | | 021-38031658 fangyi2@gtht.com | | --- | --- | | 登记编号 | S0880520120005 | | | 郭佼佼(分析师) | | | 021-38031042 | | | guojiaojiao2@gtht.com | | 登记编号 | S0880523070002 | [Table_Report] 相关报告 成交活跃度升高，万得全 A 估值领涨 2025.10.09 资产概览：商品表现强于股债 2025.09.27 内需周期品价格回暖，服务消费景气提升 2025.09.24 私募积极加仓，外资重回中国市场 2025.09.22 成 ...

Core Concept - The article emphasizes the importance of understanding the "collaboration" between assets in investment allocation, which is mathematically represented by "correlation" [3][4]. Asset Allocation Principles - Ideal investment portfolios should consist of assets with varying correlations: assets with a correlation close to +1 move together, those with a correlation close to -1 move inversely, and those with a correlation close to 0 operate independently [4]. - The modern portfolio theory proposed by Nobel laureate Harry Markowitz suggests that scientific diversification can significantly reduce risk without sacrificing returns [4]. Mathematical Framework - For perfectly negatively correlated assets (correlation of -1), the allocation ratio should be inversely proportional to their volatility. If two funds have the same volatility, equal allocation is appropriate [5][7]. - If the volatilities differ, the allocation should favor the asset with lower volatility. For example, if Fund A has a volatility of 10% and Fund B has 30%, the optimal allocation would be 75% in Fund A and 25% in Fund B [7]. - For assets with a correlation close to 0, the allocation ratio should be inversely proportional to the square of their volatility. This allows for optimization of the risk-return profile even among uncorrelated assets [10][13]. Investment Insights - Including negatively correlated assets in a portfolio can effectively reduce overall volatility. While perfectly negatively correlated assets are rare, seeking low or negatively correlated assets remains a valid strategy for optimizing investment portfolios [9]. - The article illustrates that even with uncorrelated assets, appropriate weight allocation can enhance the risk-return ratio. For instance, a combination of five uncorrelated assets can reduce volatility significantly compared to individual assets [15]. Addressing Concerns about Returns - The article argues that proper asset allocation does not diminish returns; rather, it can stabilize and enhance them. The key is to select high-performing assets rather than diversifying for the sake of it [17]. - Examples provided include combining U.S. stocks with A-shares, both of which have long-term annualized returns of around 8-10%, resulting in a stable combined return while reducing volatility [17]. Practical Guidelines for Portfolio Construction - Step 1: Diversify across major asset classes such as stocks (high long-term returns, high volatility), bonds (stable returns, low volatility), and commodities (inflation hedge) [21]. - Step 2: Diversify by region and strategy, investing in various markets and styles to mitigate risks [21]. - Step 3: Regularly rebalance the portfolio to maintain the desired asset allocation, selling portions of assets that have appreciated significantly and buying those that have declined [21].

以下文章来源于量化投资 ，作者十拳剑灵 量化投资 . 十拳剑灵｜用数据做多元配置 • 百万实盘翻倍全程公开｜追求年年稳健盈利 • 陪你穿越牛熊 • 一起慢慢变富 " 资产配置 " 听起来很高大上？别怕，其实它的数学原理超级简单！今天我就用最接地气的方式，带你看懂这个让投资收益更稳的秘诀。 我知道你在担心什么： 怕数学太难？怕分散投资会降低收益？ 放心，这些问题我都会帮你解决！ 01 核心概念：理解资产间的 " 团队协作 " 想要做好资产配置，关键要懂资产之间的 " 协作关系 "— 用数学语言说就是 " 相关性 " 。这就像 组建一个全能团队 ： · 同一工种 （相关系数接近 +1 ）：好比团队里全是销售，市场好时一起开单，市场差时一起喝西北风 —— 同涨同跌 · 完美搭档 （相关系数接近 -1 ）：就像销售和风控，业务开拓时销售冲锋，风险来临时风控守护 —— 你进我退，相辅相成 · 各司其职 （相关系数接近 0 ）：如同技术、运营、市场不同部门，各自为战又共同目标 —— 走势独立，互补共赢 理想的投资组合，就是要组建这样的 " 梦幻团队 " 。这背后的数学原理，是诺贝尔奖得主马科维茨提出的现代投资组合理论： ...

Group 1 - The report highlights that equity assets have shown strong performance, particularly in the Asia-Pacific emerging markets and technology growth sectors, while commodity performance has been mixed [2][5][11] - The correlation between A-shares and Hong Kong stocks has increased, while the negative correlation between A-shares and Chinese government bonds remains strong [2][11][12] - The risk premium level for A-shares has decreased for seven consecutive weeks, with the current level at 5.8%, indicating a slight increase in relative value compared to historical averages [16][19] Group 2 - In the equity market, the Asia-Pacific region has outperformed, with notable gains in technology growth stocks; for instance, the Hang Seng Technology Index surged by 5.5% [5][24][28] - Emerging markets in Asia, such as the A-share ChiNext Index and Korea's KOSDAQ, have also shown strong performance, with increases of 3.2% and 2.5% respectively [24][28] - In contrast, Latin American markets, including Brazil and Mexico, have faced continued pressure and declines [24][28] Group 3 - The report indicates that the Chinese bond yield curve is "bull steep," with a general downward trend in yields for longer maturities, while the U.S. bond yield curve is "bear steep," reflecting rising yields [46][50] - Specifically, the 10-year to 2-year yield spread in China has widened, indicating a bullish sentiment in the bond market [46][50] - In the U.S., the 10-year Treasury yield has increased to 4.47%, driven by inflation expectations, while the market anticipates a potential rate cut by the Federal Reserve in September [46][59] Group 4 - Commodity prices have shown overall increases, but with significant differentiation; for example, iron ore and natural rubber prices rose over 3%, while crude oil prices fell by 1.5% to 1.6% [63][64] - The report notes that the U.S. dollar continues to appreciate, although at a slower pace compared to previous weeks, with major currencies like the euro and yen depreciating against it [63][64] - Inventory levels for gold and silver have increased, contrary to the average declines seen over the past three years, indicating a potential shift in market dynamics [64][71][75]

Core Viewpoint - The report highlights a strong performance in commodities, with a notable increase in copper prices, while equity markets show a divergence in performance across regions, particularly with European markets outperforming the US and Japan [1][2]. Group 1: Asset Performance - Commodity prices continued to strengthen, with the CRB/Nanhua index rising and the increase in COMEX copper closing at a significant 10.9% [1]. - Equity performance showed increased divergence, with US stocks declining while the dollar strengthened [1]. - A-shares and Hong Kong stocks exhibited a strong positive correlation with US and Japanese stocks, while A-shares showed a strong negative correlation with Chinese government bonds [1]. Group 2: Equity Markets - European stock markets outperformed those in the US and Japan, with the German DAX and STOXX50 leading the gains, while US stocks experienced a broad pullback [2]. - Emerging markets saw strong performances from Vietnam and South Korea, with the Ho Chi Minh index rising by 5.1% and the Korean Composite Index increasing by 4.0% [2]. - In contrast, other emerging markets like India and Brazil showed weaker performance, with Brazil's IBOVESPA dropping by 3.6% [2]. Group 3: Bond Markets - China's bond market exhibited a "bear flat" pattern, with AAA-rated credit bond yields decreasing in the short term and increasing in the long term [2]. - The US bond market showed a "bear steep" pattern, with a rise in the 10-year Treasury yield influenced by inflation expectations, while the probability of a Federal Reserve rate cut in September decreased compared to the previous week [2]. Group 4: Commodities and Currency - Commodity prices continued to rise, with 12 out of 14 types of futures contracts increasing, particularly in copper, coking coal, and silver, while nickel saw a decline of 1.1% [3]. - Since the beginning of the year, copper has shown a cumulative increase of 39.2%, with inventory levels for gold and silver decreasing [3]. - The US dollar index rose by 0.9%, reversing its previous depreciation, while the euro, pound, and yen depreciated against the dollar, although they have appreciated relative to the dollar since the start of the year [3].

Core Viewpoint - The article discusses the impact of geopolitical risks and market volatility on investment strategies, emphasizing the importance of diversification in investment portfolios to mitigate risks in a changing environment [2][3]. Group 1: Diversification Concept - Diversification is described as the only "free lunch" in investing, where the overall risk of a portfolio is not merely the sum of individual asset risks but is influenced by the interactions between assets [3][5]. - The correlation coefficient is a key metric for understanding the relationship between asset price movements, with values ranging from 1 (perfectly correlated) to -1 (perfectly inversely correlated) [4][5]. - Combining assets with correlation coefficients below 1 can reduce overall risk, and lower correlation enhances the effectiveness of diversification [5][8]. Group 2: Historical Context and Changing Correlations - Historical data shows that correlations between A-shares and global markets fluctuate, indicating that past effective diversification strategies may not hold in the future [9][10]. - Since 2021, the correlation between A-shares and developed markets like the US and Japan has decreased, enhancing the diversification value for A-share investors [13]. - Conversely, correlations with emerging markets have increased since 2017, partly due to China's growing weight in emerging market indices [13][14]. Group 3: Building a "Anti-Fragile" Portfolio - The article suggests that merely investing in overseas assets is insufficient for effective risk diversification; a more comprehensive approach is needed that spans multiple asset classes [19][20]. - The changing correlation dynamics among major asset classes highlight the complexity and challenges of constructing a diversified investment portfolio [21][22]. - Continuous monitoring of asset correlations and dynamic adjustments to the portfolio are essential for effective management in a complex investment environment [23].

Core Viewpoint - The emergence of the "Trump 2.0 era" signifies a fundamental shift in global dynamics, rather than a temporary phenomenon, with significant implications for the future of the U.S. and the world [2][3]. Group 1: Global Dynamics and Geopolitical Changes - The current global situation is characterized by three key trends: Protectionism, Politicization, and Polarization, which are reshaping geopolitical and economic rules [3][4]. - Non-aligned third-party countries are rising in influence, moving away from the binary "us vs. them" mentality, and engaging in diverse partnerships across various regions [7][10]. - The U.S. is rapidly losing its global standing due to its current policies, which are leading it towards a developing country status [3][10]. Group 2: Economic Implications for China - China's GDP growth is projected to reach 5%, but underlying issues such as corporate debt, consumer confidence, and employment pressures remain [21][22]. - To transition into a consumption-driven economy, China must address social security issues and shift focus from production to consumer support [22][23]. - The current global economic landscape presents a "golden opportunity" for China to enhance the international status of the Renminbi, especially as capital flows away from the U.S. [24][25]. Group 3: Technological Advancements and AI - The impact of AI is expected to be more profound than the Industrial Revolution, presenting both opportunities and challenges for developing countries [5][31]. - Countries must adapt their education systems to prepare for the skills needed in an AI-driven economy, ensuring that they do not fall behind [31][33]. - The rise of AI necessitates a collaborative approach among nations to address global challenges, rather than fostering competition [38]. Group 4: Corporate Strategies and Market Positioning - Chinese companies expanding overseas should prioritize localization and identify their core competitive advantages to avoid pitfalls associated with price competition [17][18]. - The need for a shift in competitive thinking is crucial, as many Chinese firms face narrow profit margins and must innovate rather than imitate [17][18]. - The concept of "mayor economy" highlights the importance of local government support in fostering private enterprise and driving industrial growth [28].