2026年3月大类资产配置月报：铜：全球复苏周期下的配置主线-20260304

Quantitative Models and Construction Methods 1. Model Name: Macro Scoring Model - Model Construction Idea: The model evaluates macroeconomic factors to provide timing views on various asset classes, such as bonds, equities, and commodities, based on macroeconomic conditions[19] - Model Construction Process: - The model incorporates multiple macroeconomic factors, including domestic and global cycles, monetary policies, credit conditions, inflation, and financial stress. - Each factor is scored, and the scores are aggregated to form a comprehensive macroeconomic score. - The aggregated score is then used to derive timing views for asset classes like Chinese 10-year government bonds, S&P 500, gold, crude oil, and copper[19][21] - Model Evaluation: The model provides a systematic approach to assess macroeconomic conditions and their impact on asset allocation, offering a structured framework for decision-making[19] 2. Model Name: US Equity Timing Model - Model Construction Idea: This model monitors the US equity market by analyzing economic fundamentals and cyclical trends to predict medium-term market movements[20] - Model Construction Process: - The model includes sub-indicators such as economic sentiment, capital flows, and financial stress. - These sub-indicators are evaluated based on their rolling 5-year percentile values. - Historical data analysis shows that when the economic sentiment indicator is above 50, the likelihood of sustained market downturns is minimal, except in extreme cases like early 2020[20][24] - Model Evaluation: The model effectively captures medium-term trends in the US equity market, providing valuable insights for timing investment decisions[20] 3. Model Name: Gold Timing Model - Model Construction Idea: This model evaluates the short-term and medium-term investment value of gold by considering geopolitical risks and macroeconomic factors[23] - Model Construction Process: - The model uses a gold timing indicator, which is calculated based on factors such as geopolitical risks, fiscal deficits, and the US dollar's creditworthiness. - The latest value of the gold timing indicator is -0.34, showing a slight improvement from the previous month[23][26] - Model Evaluation: The model highlights gold's short-term hedging value against geopolitical risks but suggests a weakening medium-term investment logic due to improving US economic fundamentals[23] 4. Model Name: Crude Oil Timing Model - Model Construction Idea: This model assesses the investment value of crude oil by analyzing its supply-demand fundamentals and geopolitical risks[27] - Model Construction Process: - The model uses a crude oil sentiment index, which is derived from supply-demand dynamics and geopolitical factors. - The latest reading of the crude oil sentiment index is -0.01, remaining below the neutral level of 0[27][29] - Model Evaluation: The model indicates a cautious outlook for crude oil, emphasizing that its supply-demand fundamentals do not currently support a sustained price increase, despite its hedging value against geopolitical risks[27] --- Model Backtesting Results 1. Macro Scoring Model - February Return: -0.2% - 1-Year Return: 11.9% - Maximum Drawdown: 2.7%[4][28][30] 2. US Equity Timing Model - Economic Sentiment Indicator: Rolling 5-year percentile at 60, indicating a supportive environment for US equities[20][24] 3. Gold Timing Model - Gold Timing Indicator: Latest value at -0.34, showing slight improvement from the previous month[23][26] 4. Crude Oil Timing Model - Crude Oil Sentiment Index: Latest reading at -0.01, remaining below the neutral level[27][29] --- Quantitative Factors and Construction Methods 1. Factor Name: Global Economic Sentiment Factor - Factor Construction Idea: Measures global economic activity and its impact on asset prices, particularly industrial metals like copper[1][19] - Factor Construction Process: - The factor is derived from global manufacturing PMI data, focusing on trends in new orders and production. - Historical analysis shows a high correlation between this factor and copper prices, reflecting the cyclical nature of industrial metals[1][16][19] - Factor Evaluation: The factor effectively captures global economic cycles and their influence on industrial metals, making it a valuable tool for asset allocation[1][19] --- Factor Backtesting Results 1. Global Economic Sentiment Factor - Correlation with Copper Prices: High historical correlation, indicating strong alignment with global economic cycles[1][16][19]