1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - In H1 2025, the commodity market showed a narrow - range oscillation, with the CSI Commodity Futures Index rising slightly by 0.20%. Positive returns mainly came from gold, silver, and copper, while negative returns were mainly from rebar, rubber, and soda ash [2]. - The CSI Commodity Index's year - on - year sequence has bottomed out and rebounded, potentially indicating that the PPI sequence is in the process of bottoming out and rebounding. Microscopically, the sector index trends reflect certain operational pressures in the steel and chemical industries [2]. - Investors should gradually reduce their reliance on fixed - income assets and practice the methodology of stock - bond - commodity asset allocation, increasing the proportion of commodities in the portfolio [2]. - The CSI Commodity Index has shown a relatively independent and excellent performance compared to overseas indices, but the recent increase in correlation needs attention. Adding an appropriate amount of commodities to the traditional stock - commodity portfolio can significantly improve the return - risk ratio of the portfolio [2]. 3. Summary According to the Directory 3.1 Market Review - In H1 2025, the commodity market presented a narrow - range oscillation. The CSI Commodity Index rose slightly by 0.20% annually, with an amplitude of only 10.27%. It was difficult to form a long - term trend, showing an inverted V - shaped oscillation after a strong start [9]. - Driven by frequent macro - events, the commodity market was repeatedly disturbed by policies and geopolitics. With the global economy still bottoming out, the demand side was weak, especially for industrial products. Three macro black - swan events occurred in H1 [12][14]. - There were two obvious characteristics in the commodity market: the significant differentiation between agricultural and industrial products, and the further differentiation within commodities due to different types of event shocks [15]. 3.2 Index Return Attribution 3.2.1 Roll Yield Contribution - The roll yield in H1 2025 was positive overall, at 1.07%, an improvement compared to 2024, possibly suggesting that the global economic growth is bottoming out. Most months had positive roll yields, except for March which had a large negative value [20]. 3.2.2 Sector Return Contribution - In H1 2025, the trends of industrial and agricultural products diverged. The agricultural product market had a small price increase and relatively low volatility, while the industrial product market had a large price decline and relatively large amplitude fluctuations. Agricultural products outperformed industrial products in most months [23]. 3.2.3 Variety Return Contribution - At the sector level, black and energy - chemical sectors mostly made negative return contributions, while precious metals, non - ferrous metals, and agricultural products mostly made positive return contributions. At the variety level, gold, silver, and copper had large positive return contributions, while rebar, rubber, and soda ash had large negative return contributions [24]. 3.3 Macro - Micro Representativeness 3.3.1 Macro Level: The CSI Commodity Index Leads PPI by About 2 Months - The CSI Commodity Index's year - on - year sequence is highly correlated with the PPI year - on - year and can lead by about 2 months. Recently, the commodity index's year - on - year sequence has bottomed out and rebounded, perhaps indicating that the PPI sequence is bottoming out and rebounding [25]. 3.3.2 Micro Level: The Sector Index Moves in Sync with the Industry's Total Profits - The year - on - year sequence of the sub - sector index is highly correlated with the year - on - year sequence of the corresponding industry's total profits. The energy - chemical futures index is in the process of bottoming out, and the steel futures index is still finding its bottom [29]. 3.4 Comparison of Major Asset Classes - In the long - term, the commodity market has similar returns but lower risks compared to the equity market. In H1 2025, the commodity market's risk indicators were still better than those of the equity market [38][39]. - The current risk - free interest rate is quite low, and the investment cost - performance of bonds has declined significantly. Investors should gradually practice the methodology of major asset allocation and increase the proportion of commodities in the portfolio [40]. - Since 2024, the correlation between the commodity market and the equity market has been increasing. In H1 2025, the correlation remained relatively high, but it decreased rapidly at the end of June [43]. 3.5 Comparison with Overseas Indices - In the long - term, the CSI Commodity Index has obvious advantages in both returns and risks compared to overseas mainstream commodity indices. In H1 2025, it still had better performance in risk control [47][48]. - The correlation between the CSI Commodity Index and overseas mainstream commodity indices increased rapidly in early April and remained high in Q2, mainly due to the impact of the tariff shock [50]. 3.6 Application Cases - Adding an appropriate amount of commodities to the traditional stock - commodity portfolio can significantly improve the return - risk ratio of the portfolio. Replacing half of the stocks in the traditional 40 - 60 stock - bond portfolio with commodities can significantly reduce the portfolio's volatility and drawdown while keeping the returns similar [54][60].

文 ｜ 刘方 杨洋 王子雄 刘笑天 赵文荣 从定量指标看，当前红利策略已呈现较为显著的底部特征：一是收益风险分布区间看，红利过去3 个月业绩形成罕见的"负收益-高波动"特征，显著偏离其长期中枢分布、蕴含修复动能；二是相对 市场超额，红利4 0日超额低于年均线已近- 1 0%，历史规律看较大概率出现超额回归；三是红利 ETF处于缩量净申购状态，通常对应策略底部阶段；四是量能指标看，红利风格量能已经低于警戒 线水平，具备较高胜率和赔率。此外，中证红利成交额占比分位数已回落至5%以下的历史低位， 处于近五年交易量的"冷却"区域，存在配置安全边际。长期来看，在分红政策强化措施、低无风险 收益率环境、长期资金引导入市的政策背景下，红利策略兼具底部特征与修复空间。 ▍ 红利策略的长期配置价值依然存在。 红利策略具备高收益、低波动和低回撤特点。2 0 0 6年1月至2 0 2 5年2月，红利指数年化收益 1 4 . 1 4%、年化夏普0 . 6 4、年化卡玛0 . 2 0，均为各类风格指数中最高。长期来看，在分红政策强化 措施、低无风险收益率环境、长期资金引导入市的政策背景下，红利仍然是具备吸引力的配置方 向。 ▍ 从超额 ...