摸象：宏观视角的中观高频跟踪

Group 1: High-Frequency Data Utilization - High-frequency tracking allows for timely monitoring of economic conditions and more accurate expectations management[11] - OECD categorizes macro data into Hard Data, Soft Data, and Financial Data, with a focus on weekly Hard Data for analysis[13] - High-frequency data can provide forward-looking guidance on economic trends, compensating for the lag in macro data releases[17] Group 2: Economic Indicators and Trends - The report highlights that PMI data is released with a 5-day lag, while economic data is typically delayed by 2.5 weeks, impacting timely decision-making[17] - The correlation between real GDP growth and real estate investment has weakened, indicating a shift in economic drivers[30] - Despite interest rate cuts, credit demand remains weak, with both household and corporate credit impulses showing low recovery rates[32] Group 3: Inventory and Production Cycles - The report notes that inventory cycle patterns have been disrupted by capacity cycles, leading to irregular inventory management[35] - The analysis of production signals indicates fluctuations in power generation and value-added output, complicating economic assessments[69] Group 4: Leading Indicators and Economic Forecasts - Leading indicators suggest nominal growth may peak in Q3 2025, with expectations for various sectors such as exports and infrastructure investment to stabilize[40] - The report emphasizes the importance of establishing a framework for leading indicators to better predict economic performance[25]