Ge Long Hui·2025-11-11 05:59Group 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]