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Quantitative Models and Construction Methods 1. Model Name: Short-term Timing Strategy - **Model Construction Idea**: The model aims to provide short-term market timing signals by analyzing macroeconomic fundamentals, valuation metrics, sentiment indicators, and liquidity conditions. It integrates these factors into a comprehensive signal for market timing decisions [16][17] - **Model Construction Process**: 1. **Macroeconomic Fundamentals**: - Manufacturing PMI: A value above 50 indicates expansion, while below 50 indicates contraction. The latest PMI is 49.20, giving a cautious signal [16][19] - Credit Impulse: The current long-term loan pulse growth rate is at the 54.24% percentile over the past 5 years, providing a neutral signal [16][19] - M1 Growth Rate: The filtered M1 growth rate is at the 86.44% percentile, indicating strong growth and a positive signal [16][19] 2. **Valuation Metrics**: - PE Median: The current PE median is at the 93.55% percentile over the past 5 years, signaling caution [16][19] - PB Median: The current PB median is at the 90.57% percentile, also signaling caution [16][19] 3. **Sentiment Indicators**: - Beta Dispersion: At the 44.07% percentile, providing a neutral signal [17][19] - Volume Sentiment Score: At the 24.15% percentile, indicating weak sentiment and a cautious signal [17][19] - Volatility: At the 32.01% percentile, providing a neutral signal [17][19] 4. **Liquidity Conditions**: - Money Market Rate: At the 30.51% percentile, indicating relatively loose liquidity and a positive signal [17][19] - Exchange Rate Expectation: At the 30.51% percentile, indicating a strong RMB and a positive signal [17][19] - Average 5-day Financing Inflows: At the 51.70% percentile, providing a neutral signal [17][19] - **Model Evaluation**: The model demonstrates strong performance with significant annualized returns and reduced drawdowns compared to the benchmark [18][21] 2. Model Name: Growth-Value Style Rotation Model - **Model Construction Idea**: This model identifies rotation opportunities between growth and value styles based on macroeconomic cycles, valuation spreads, and sentiment differences [27][28] - **Model Construction Process**: 1. **Macroeconomic Fundamentals**: - Profit Cycle Slope: A steep slope benefits growth styles [27][29] - Interest Rate Cycle: High levels favor value styles [27][29] - Credit Cycle: Strengthening credit cycles benefit growth styles [27][29] 2. **Valuation Metrics**: - PE Spread: The 5-year percentile of the growth-value PE spread is 30.29%, favoring growth styles [27][29] - PB Spread: The 5-year percentile of the growth-value PB spread is 47.25%, also favoring growth styles [27][29] 3. **Sentiment Indicators**: - Turnover Spread: At the 40.86% percentile, indicating a neutral signal [28][29] - Volatility Spread: At the 65.89% percentile, indicating a neutral signal [28][29] - **Model Evaluation**: The model has delivered consistent annualized returns and outperformed the benchmark in most years, though it underperformed slightly in 2025 [28][30] 3. Model Name: Small-Cap vs. Large-Cap Rotation Model - **Model Construction Idea**: This model evaluates the relative performance of small-cap and large-cap stocks using 11 effective rotation indicators, including liquidity, sentiment, and valuation metrics [31][33] - **Model Construction Process**: - Key Indicators: - **Liquidity Metrics**: R007 and financing balance changes, both favoring large-cap stocks [31][33] - **Sentiment Metrics**: Theme trading sentiment and beta dispersion, both favoring large-cap stocks [31][33] - **Valuation Metrics**: PB dispersion and MACD signals, favoring large-cap stocks [31][33] - Comprehensive Signal: The model aggregates these indicators into a composite signal, which currently suggests a 100% allocation to large-cap stocks [31][33] - **Model Evaluation**: The model has consistently generated positive annualized excess returns since 2014, with strong performance in 2025 [32][33] --- Model Backtesting Results 1. Short-term Timing Strategy - **Annualized Return**: 16.37% (Benchmark: 4.76%) [18][21] - **Annualized Volatility**: 14.79% (Benchmark: 11.59%) [18][21] - **Maximum Drawdown**: 14.07% (Benchmark: 31.41%) [18][21] - **Sharpe Ratio**: 0.9641 (Benchmark: 0.2865) [18][21] - **2025 Performance**: Strategy Return: 23.60%, Benchmark Return: 13.41%, Excess Return: 10.19% [18][21] 2. Growth-Value Style Rotation Model - **Annualized Return**: 12.71% (Benchmark: 7.96%) [28][30] - **Annualized Volatility**: 20.79% (Benchmark: 20.64%) [28][30] - **Maximum Drawdown**: 43.07% (Benchmark: 44.13%) [28][30] - **Sharpe Ratio**: 0.5842 (Benchmark: 0.3782) [28][30] - **2025 Performance**: Strategy Return: 25.36%, Benchmark Return: 26.19%, Excess Return: -0.84% [28][30] 3. Small-Cap vs. Large-Cap Rotation Model - **Annualized Return**: 33.64% (Benchmark: 22.11%) [32][33] - **Annualized Excess Return**: 11.53% [32][33] - **Maximum Drawdown**: 40.70% [32][33] - **2025 Performance**: Strategy Return: 33.64%, Benchmark Return: 22.11%, Excess Return: 11.53% [32][33]

Core Viewpoint - The annual securities industry conference and the 2025 21st Century Golden Analyst Awards ceremony took place on December 6, 2025, in Guangzhou, focusing on the development trends of the securities industry and the topic of "China's Asset Revaluation - A-share Trends" [1] Group 1 - The conference gathered leading figures from the securities industry, including heads of brokerage research departments and renowned chief economists [1] - In-depth discussions were held on market hot topics, particularly regarding the trends in A-shares [1] - The fifth edition of the 21st Century Golden Analyst Awards list was also announced during the event [1]