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金融产品每周见:如何构建含有预期的多资产配置组合?-20251118
证 券 研 究 报 告 如何构建含有预期的多资产配置组合? 基于BootStrap的配置方式探讨 —— 金融产品每周见20251118 证券分析师:蒋辛 A0230521080002 邓虎 A0230520070003 白皓天 A0230525070001 联系人: 蒋辛 A0230521080002 jiangxin@swsresearch.com 2025.11.18 主要内容 1. 资产配置模型概述 02基础模型-均值方差模型 2 2. 纳入预期的多资产配置模型——采用BootStrap方法 进行映射分析 3. 风险提示及声明 1.1 资产配置模型——从现代资产组合理论入手 图:代表性资产配置模型概述 01固定比例配置 运作方式:股债20/80指数等 优势:运作简单,满足基础分散化投资诉求 劣势:不够灵活,环境变动下收益差距可能较大 04风险平价模型 运作方式:仅关注风险端,追求各资产风险配置均衡 优势:强化风险控制;可引入宏观风险、汇率风险等多 维度的风险,用多维风控信息做组合 劣势:依赖风控模型,当出现难以识别的风险时,没有 收益兜底的风险平价模型较难及时做调整。 运作方式:给定收益/风险,确定组合 ...
国泰海通:AI产业趋势预期博弈持续,11月超配AH股与工业商品
Ge Long Hui· 2025-11-11 05:59
Group 1 - The article presents an "all-weather" asset allocation framework consisting of Strategic Asset Allocation (SAA), Tactical Asset Allocation (TAA), and Major Event Review Adjustments to guide investment decisions [1][8] - The framework aims to diversify macro risks through SAA, set long-term allocation benchmarks for portfolio stability, and use TAA to identify short-term risk-return characteristics for asset adjustments [1][8] - The recommendation for November includes an overweight position in Chinese A/H shares and industrial commodities, with equity allocation at 45%, bonds at 45%, and commodities at 10% [1][2] Group 2 - The outlook for Chinese equities is optimistic, suggesting a 45% allocation with overweight positions in A-shares (8.5%) and Hong Kong stocks (8.5%), while maintaining standard allocations for US (15%), European (5%), and Japanese stocks (5%) [2] - The improvement in Sino-US relations and stable domestic financial conditions are seen as favorable for Chinese assets, with a strong demand for quality assets amid ongoing market reforms [2][12] - The bond allocation is suggested to be neutral at 45%, with standard positions in long-term and short-term government bonds for both China and the US [3] Group 3 - The commodity allocation is viewed as neutral to slightly optimistic, recommending a 10% allocation with standard positions in gold (5%) and industrial commodities (3.75%), while underweighting oil (1.25%) [3] - Industrial metals, particularly copper, are expected to experience price increases due to supply-demand imbalances driven by construction, electric grid modernization, and electric vehicle demand [3][14] Group 4 - The macroeconomic analysis emphasizes the importance of tracking macroeconomic expectations and their impact on asset pricing, highlighting that deviations from expectations can lead to significant asset price fluctuations [10][15] - The article discusses the significance of macroeconomic cycles in guiding long-term investment strategies, with a focus on the cyclical nature of economic indicators [19][15]
国泰海通资产配置月度方案(20251015):10月超配权益与黄金,标配债券-20251015
Group 1 - The report suggests an increase in allocation to Chinese equity assets and gold, while maintaining a standard allocation to bonds due to rising geopolitical uncertainties and potential market volatility [1][5]. - The recommended equity allocation weight is 41.25%, with specific allocations to A-shares (8.75%), Hong Kong stocks (8.75%), US stocks (15.00%), European stocks (2.75%), Japanese stocks (3.25%), and Indian stocks (2.75%) [5][9]. - The report expresses optimism regarding the performance of Chinese A/H shares, viewing current market adjustments as buying opportunities [5][9]. Group 2 - The bond allocation is suggested to be 45%, with standard allocations to long-term and short-term government bonds in both domestic and US markets [5][9]. - The report indicates a neutral to slightly optimistic view on commodities, recommending a 13.75% allocation, with a focus on gold (10%) and a lower allocation to oil (1.25%) [5][9]. - Gold prices are expected to remain strong, having recently surpassed key resistance levels, supported by factors such as Federal Reserve rate cuts and ongoing geopolitical tensions [5][9].
国泰海通:10月超配权益与黄金,标配债券
Ge Long Hui· 2025-10-15 03:57
Core Viewpoint - The company has developed a "three-part" asset allocation framework consisting of Strategic Asset Allocation (SAA), Tactical Asset Allocation (TAA), and Major Event Review Adjustments to guide investment decisions. This framework aims to diversify macro risks, set long-term allocation benchmarks, and adjust based on short-term risk-return characteristics and significant events [1][10]. Group 1: Strategic Asset Allocation (SAA) - The SAA framework aims to mitigate macro risks by establishing a long-term allocation benchmark to ensure portfolio stability [1][10]. - The recommended asset allocation for October includes 41.25% in equities, 45% in bonds, and 13.75% in commodities, with specific allocations for A-shares, H-shares, and gold [1][2]. Group 2: Tactical Asset Allocation (TAA) - The TAA approach utilizes quantitative methods to identify assets with superior short-term risk-return characteristics, allowing for moderate adjustments to portfolio weights to enhance returns [1][10]. - The company remains optimistic about Chinese equities, suggesting an overweight position in A-shares and H-shares, while maintaining a neutral stance on bonds and a slightly optimistic view on commodities, particularly gold [2][3]. Group 3: Major Events Review - The company emphasizes the importance of subjective review of major events in conjunction with quantitative results to refine investment strategies, particularly in response to geopolitical uncertainties and market volatility [1][52]. - Recent events, such as the Chinese government's financial reforms and the U.S. Federal Reserve's interest rate adjustments, are expected to influence market dynamics positively, particularly for A-shares and gold [54]. Group 4: Performance Metrics - The performance of various asset classes has shown significant fluctuations, with notable increases in the Shanghai Composite Index and other Chinese indices over the past year, indicating a robust recovery in the equity market [6]. - The macro factor risk parity model has demonstrated effectiveness in enhancing returns while maintaining a balanced asset allocation, achieving an annualized return of 26.5% in 2025 with a Sharpe ratio of 2.59 [48][50].
长短期视角下的大类资产配置策略跟踪月报-20250805
Xiangcai Securities· 2025-08-05 12:20
Core Insights - The report emphasizes the importance of asset allocation strategies based on both long-term and short-term perspectives, utilizing historical data to optimize investment portfolios [21][22][23]. Asset Performance Overview - Equity assets showed strong performance, with the CSI 300 Index and Nasdaq 100 Index rising by 3.5% and 2.4% respectively over the past month, while the Indian Sensex 30 Index declined by 2.9% [7][6]. - In the bond market, government bond yields increased, leading to a 0.2% decline in the government bond index, while corporate bond indices remained stable due to narrowing credit spreads [12][11]. - Commodity assets experienced a 3.8% increase in the South China Commodity Index in July, although gold prices fluctuated, ending the month nearly flat [17][16]. Asset Allocation Strategies - The report suggests a debt-oriented asset allocation strategy comprising 10% Asia-Pacific emerging market stocks, 80% corporate bonds, and 10% gold [28]. - A mixed asset allocation strategy is recommended, including 23% Nasdaq 100 Index, 7% CSI 300 Index, 40% corporate bonds, and 30% commodities [28]. Strategy Performance Tracking - From April 2015 to July 2025, the mean-variance model strategy achieved an annualized return of 6.81% with a maximum drawdown of 3.6% and a Sharpe ratio of 2.76 [25]. - The strategy's performance from January 2025 to July 2025 yielded a cumulative return of 1.97%, with a notable return of -0.15% in July due to insufficient bond contributions and declines in the Indian market index [25][27]. Model Utilization - The report employs a mean-variance model for long-term asset allocation, which outperforms constant mix strategies, and integrates the Black-Litterman model to enhance return stability by combining historical and recent performance data [22][23][24].