证券研究报告·金融工程·金工定期报告 金工定期报告 20251202 预期高股息组合跟踪-20251128 2025 年 12 月 02 日 [Table_Tag] [Table_Summary] 投资要点 ◼ 2025 年 12 月组合最新持仓明细： | 序号 | 股票代码 | 股票简称 | 申万一级行业 | 建仓日期 | 权重 | | --- | --- | --- | --- | --- | --- | | 1 | 601838.SH | 成都银行 | 银行 | 2025/12/1 | 3.33% | | 2 | 601077.SH | 渝农商行 | 银行 | 2025/12/1 | 3.33% | | 3 | 600000.SH | 浦发银行 | 银行 | 2025/12/1 | 3.33% | | 4 | 600919.SH | 江苏银行 | 银行 | 2025/12/1 | 3.33% | | 5 | 601998.SH | 中信银行 | 银行 | 2025/12/1 | 3.33% | | 6 | 601658.SH | 邮储银行 | 银行 | 2025/12/1 | 3.33% | | 7 | ...

- The "Expected High Dividend Portfolio" model is constructed using a two-stage process: first, calculating the dividend yield based on annual report profit distribution data, and second, predicting and calculating the dividend yield using historical dividend data and fundamental indicators. Additionally, two short-term factors, the reversal factor and the profitability factor, are used to assist in stock selection. The portfolio is optimized within the CSI 300 constituents, holding 30 stocks per period and rebalancing monthly[3][8][13] - The stock selection process for the "Expected High Dividend Portfolio" involves: (1) excluding suspended and limit-up stocks from the CSI 300 constituents, (2) removing the top 20% of stocks with the highest short-term momentum (21-day cumulative returns), (3) excluding stocks with declining profitability (quarterly net profit growth rate < 0), and (4) ranking the remaining stocks by expected dividend yield and selecting the top 30 stocks to construct an equally weighted portfolio[9][13] - The backtesting results of the "Expected High Dividend Portfolio" from February 2, 2009, to August 31, 2017, show a cumulative return of 358.90% relative to the CSI 300 Total Return Index, with a cumulative excess return of 107.44%. The annualized excess return is 8.87%, the maximum rolling one-year drawdown of excess return is 12.26%, and the monthly excess win rate is 60.19%[11] - In October 2025, the "Expected High Dividend Portfolio" achieved an average return of 5.47%, outperforming the CSI 300 Index by 5.93% and the CSI Dividend Index by 2.50% during the same period[3][14][19]

- Model Name: Expected High Dividend Portfolio; Model Construction Idea: The model uses a two-stage approach to construct the expected dividend yield indicator. The first stage calculates the dividend yield based on the annual report's profit distribution, and the second stage predicts and calculates the dividend yield using historical dividends and fundamental indicators. Additionally, two short-term factors affecting dividend yield—reversal factor and profitability factor—are used to assist in screening, and the selection is made from the CSI 300 constituent stocks to construct the expected high dividend portfolio. The portfolio holds 30 stocks each period and rebalances monthly[3][8] - Model Construction Process: 1. Exclude suspended and limit-up stocks from the CSI 300 constituent stocks to form the candidate stock pool[13] 2. Exclude the top 20% of stocks with the highest short-term momentum (i.e., the top 20% of stocks with the highest 21-day cumulative gains) from the stock pool[13] 3. Exclude stocks with declining profitability (i.e., stocks with a negative year-on-year growth rate of quarterly net profit)[13] 4. Rank the remaining stocks in the stock pool by expected dividend yield and select the top 30 stocks with the highest expected dividend yield to construct the portfolio equally weighted[9] - Model Evaluation: The model's historical performance is outstanding, with a cumulative return of 358.90% and a cumulative excess return of 107.44% relative to the CSI 300 Total Return Index. The annualized excess return is 8.87%, with a maximum rolling one-year drawdown of only 12.26% and a monthly excess win rate of 60.19%[11] Model Backtest Results - Expected High Dividend Portfolio, average return in September 2025: -5.35%, underperformed the CSI 300 Index by 8.09% and the CSI Dividend Index by 3.87%[3][14] - Best performing stocks in September 2025: CITIC Special Steel (3.81%), Yutong Bus (-0.35%), Industrial and Commercial Bank of China (-1.75%), Shuanghui Development (-1.90%)[15] Factor Construction and Evaluation - Factor Name: Expected Dividend Yield Factor; Factor Construction Idea: The factor is constructed by predicting dividend distribution using the method of dividend distribution combined with fundamental indicators. Two short-term factors affecting dividend yield—reversal factor and profitability factor—are used to assist in screening[14] - Factor Construction Process: 1. Calculate the dividend yield based on the annual report's profit distribution[8] 2. Predict and calculate the dividend yield using historical dividends and fundamental indicators[8] - Factor Evaluation: The factor is used to assist in screening and constructing the expected high dividend portfolio, which has shown outstanding historical performance[3][8] Factor Backtest Results - Expected Dividend Yield Factor, average return in September 2025: -5.35%, underperformed the CSI 300 Index by 8.09% and the CSI Dividend Index by 3.87%[3][14]

Quantitative Models and Construction Methods - **Model Name**: Expected High Dividend Portfolio **Model Construction Idea**: The model aims to construct a portfolio with high expected dividend yield by leveraging historical dividend data, fundamental indicators, and short-term factors like reversal and profitability[5][10][16] **Model Construction Process**: 1. **Dividend Yield Calculation**: - Phase 1: Calculate dividend yield based on annual report profit distribution announcements - Phase 2: Predict and calculate dividend yield using historical dividend data and fundamental indicators[5][10] 2. **Screening Process**: - Exclude suspended and limit-up stocks from the CSI 300 constituents[15] - Remove the top 20% of stocks with the highest short-term momentum (21-day cumulative return)[15] - Exclude stocks with declining profitability (quarterly net profit YoY growth < 0)[15] 3. **Final Selection**: - Rank the remaining stocks by expected dividend yield - Select the top 30 stocks with the highest expected dividend yield and construct an equally weighted portfolio[11] **Model Evaluation**: The model demonstrates strong historical performance with significant excess returns and controlled drawdowns, making it a robust strategy for high-dividend stock selection[13] Model Backtesting Results - **Expected High Dividend Portfolio**: - Cumulative Return: 358.90% - Cumulative Excess Return (vs CSI 300 Total Return Index): 107.44% - Annualized Excess Return: 8.87% - Maximum Rolling 1-Year Drawdown of Excess Return: 12.26% - Monthly Excess Win Rate: 60.19%[13] Quantitative Factors and Construction Methods - **Factor Name**: Expected Dividend Yield Factor **Factor Construction Idea**: Predict future dividend yield by combining historical dividend data, fundamental indicators, and short-term influencing factors[5][16] **Factor Construction Process**: 1. Calculate historical dividend yield based on profit distribution announcements[5][10] 2. Predict future dividend yield using fundamental indicators and historical dividend patterns[5][10] 3. Incorporate two short-term factors: - **Reversal Factor**: Accounts for short-term price reversals - **Profitability Factor**: Reflects the company's earnings performance[5][16] **Factor Evaluation**: The factor effectively identifies high-dividend stocks and serves as a reliable input for portfolio construction[16] - **Factor Name**: Red Dividend Timing Framework (Composite Signal) **Factor Construction Idea**: Combines multiple single-factor signals to assess the market's outlook on dividend stocks[25][28] **Factor Construction Process**: 1. Evaluate five single-factor signals: - **Inflation**: PPI YoY (High/Low) - **Liquidity**: M2 YoY (High/Low) - **M1-M2 Gap**: Scissors Difference (High/Low) - **Interest Rate**: US 10-Year Treasury Yield (High/Low) - **Market Sentiment**: Dividend Stock Turnover Ratio (Up/Down)[28] 2. Assign binary signals (1 for bullish, 0 for bearish) to each factor 3. Aggregate the signals into a composite indicator[28] **Factor Evaluation**: The framework provides a systematic approach to timing dividend stock investments, though the September 2025 signal suggests a cautious stance[25][28] Factor Backtesting Results - **Expected Dividend Yield Factor**: - August 2025 Portfolio Average Return: 5.69% - Excess Return (vs CSI 300 Index): -4.80% - Excess Return (vs CSI Dividend Index): +4.70%[5][16] - **Red Dividend Timing Framework (Composite Signal)**: - Latest Signal (September 2025): 0 (Neutral)[25][28]

Quantitative Models and Construction Methods 1. Model Name: Expected High Dividend Portfolio - **Model Construction Idea**: The model uses a two-stage process to construct the expected dividend yield indicator. The first stage calculates the dividend yield based on annual report profit distribution data, while the second stage predicts and calculates the dividend yield using historical dividend data and fundamental indicators. Additionally, two short-term factors—reversal factor and profitability factor—are used to assist in stock selection. The portfolio is optimized within the CSI 300 constituents[4][9] - **Model Construction Process**: 1. Exclude suspended and limit-up stocks from the CSI 300 constituents to form the initial stock pool[14] 2. Remove the top 20% of stocks with the highest short-term momentum (21-day cumulative returns)[14] 3. Exclude stocks with declining profitability (quarterly net profit growth rate < 0)[14] 4. Rank the remaining stocks by expected dividend yield and select the top 30 stocks to construct an equal-weighted portfolio[10] - **Model Evaluation**: The model demonstrates a systematic approach to identifying high-dividend stocks, leveraging both historical data and fundamental analysis for robust stock selection[4][9] --- Model Backtesting Results 1. Expected High Dividend Portfolio - **Cumulative Return**: 358.90% relative to the CSI 300 Total Return Index from February 2, 2009, to August 31, 2017[12] - **Cumulative Excess Return**: 107.44% over the same period[12] - **Annualized Excess Return**: 8.87%[12] - **Maximum Drawdown of Rolling One-Year Excess Return**: 12.26%[12] - **Monthly Excess Win Rate**: 60.19%[12] --- Quantitative Factors and Construction Methods 1. Factor Name: Expected Dividend Yield Factor - **Factor Construction Idea**: This factor predicts dividend yield by combining historical dividend data with fundamental indicators. It is used to identify stocks with high expected dividend yields[4][15] - **Factor Construction Process**: 1. Calculate dividend yield based on annual report profit distribution data[4][9] 2. Predict and calculate dividend yield using historical dividend data and fundamental indicators[4][9] - **Factor Evaluation**: The factor effectively integrates historical and fundamental data to predict dividend yields, providing a solid foundation for high-dividend stock selection[4][15] 2. Factor Name: Reversal Factor - **Factor Construction Idea**: This factor identifies stocks with short-term price reversals, which may impact dividend yield predictions[4][15] - **Factor Construction Process**: Measure short-term momentum using 21-day cumulative returns and exclude the top 20% of stocks with the highest momentum[14] - **Factor Evaluation**: The factor helps mitigate the impact of short-term price surges, ensuring a focus on stable dividend yield predictions[4][15] 3. Factor Name: Profitability Factor - **Factor Construction Idea**: This factor screens out stocks with declining profitability, ensuring the selection of fundamentally strong companies[4][15] - **Factor Construction Process**: Exclude stocks with quarterly net profit growth rates less than 0[14] - **Factor Evaluation**: The factor ensures the portfolio is composed of financially sound companies, enhancing the reliability of dividend yield predictions[4][15] --- Factor Backtesting Results 1. Expected Dividend Yield Factor - **June 2025 Average Return**: 1.84%[15] - **Excess Return Relative to CSI 300**: -0.83%[15] - **Excess Return Relative to CSI Dividend Index**: 2.40%[15] 2. Reversal Factor - **Impact**: Excluded the top 20% of stocks with the highest short-term momentum, ensuring stability in the portfolio's dividend yield predictions[14] 3. Profitability Factor - **Impact**: Excluded stocks with declining profitability, maintaining a focus on fundamentally strong companies[14]