Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 Combination - **Model Construction Idea**: This model focuses on selecting stocks with low Price-to-Book (PB) ratios and high Return on Equity (ROE) to construct a portfolio that aims to achieve excess returns[24] - **Model Construction Process**: The portfolio is constructed by screening stocks based on their PB and ROE metrics. Stocks with the lowest PB ratios and highest ROE values are selected to form the top 50 stocks in the portfolio. The portfolio is rebalanced periodically to maintain the selection criteria[24] - **Model Evaluation**: The model demonstrates significant excess returns in the all-market stock pool, though it underperforms in specific indices like the CSI 500 and CSI 800[24][25] 2. Model Name: Public and Private Institutional Research Combination - **Model Construction Idea**: This model leverages the stock selection strategies of public and private institutional research to identify stocks with potential for excess returns[27] - **Model Construction Process**: The portfolio is constructed by tracking the stocks that public and private institutions have recently researched. Stocks with higher research frequency or positive sentiment are included in the portfolio. The portfolio is rebalanced periodically to reflect updated research data[27] - **Model Evaluation**: The public institutional research strategy shows significant excess returns compared to the CSI 800 index, while the private institutional research strategy also achieves positive but smaller excess returns[27][28] 3. Model Name: Block Trade Combination - **Model Construction Idea**: This model identifies stocks with high block trade activity and low volatility, as these characteristics are associated with better subsequent performance[31] - **Model Construction Process**: The portfolio is constructed based on two key metrics: "block trade transaction amount ratio" and "6-day transaction amount volatility." Stocks with higher transaction ratios and lower volatility are selected. The portfolio is rebalanced monthly[31] - **Model Evaluation**: The model experienced a drawdown in the past week, with negative excess returns relative to the CSI All Share Index[31][32] 4. Model Name: Directed Issuance Combination - **Model Construction Idea**: This model focuses on stocks involved in directed issuance events, which are analyzed for their potential investment value based on event-driven factors[37] - **Model Construction Process**: The portfolio is constructed by identifying stocks with directed issuance announcements. Factors such as market capitalization, rebalancing cycles, and position control are considered. The portfolio is rebalanced periodically to reflect new issuance events[37] - **Model Evaluation**: The model experienced a drawdown in the past week, with negative excess returns relative to the CSI All Share Index[37][38] --- Model Backtesting Results 1. PB-ROE-50 Combination - **Weekly Excess Return**: All-market stock pool: +0.79%; CSI 500: -0.57%; CSI 800: -0.02%[24][25] - **Year-to-Date Excess Return**: All-market stock pool: +22.30%; CSI 500: +3.00%; CSI 800: +16.16%[25] - **Weekly Absolute Return**: All-market stock pool: +2.87%; CSI 500: +2.79%; CSI 800: +1.89%[25] - **Year-to-Date Absolute Return**: All-market stock pool: +48.27%; CSI 500: +28.59%; CSI 800: +36.42%[25] 2. Public and Private Institutional Research Combination - **Weekly Excess Return**: Public research: +3.82%; Private research: +0.51%[27][28] - **Year-to-Date Excess Return**: Public research: +8.10%; Private research: +12.02%[28] - **Weekly Absolute Return**: Public research: +5.81%; Private research: +2.44%[28] - **Year-to-Date Absolute Return**: Public research: +26.96%; Private research: +31.56%[28] 3. Block Trade Combination - **Weekly Excess Return**: -1.77%[31][32] - **Year-to-Date Excess Return**: +0.26%[32] - **Weekly Absolute Return**: Not explicitly stated - **Year-to-Date Absolute Return**: +62.65%[32] 4. Directed Issuance Combination - **Weekly Excess Return**: -1.71%[37][38] - **Year-to-Date Excess Return**: -0.77%[38] - **Weekly Absolute Return**: Not explicitly stated - **Year-to-Date Absolute Return**: +20.29%[38] --- Quantitative Factors and Construction Methods 1. Factor Name: Beta Factor - **Factor Construction Idea**: Measures the sensitivity of a stock's returns to market movements, capturing systematic risk[20] - **Factor Construction Process**: Beta is calculated using regression analysis of a stock's returns against the market index over a specified period[20] - **Factor Evaluation**: Demonstrated significant positive returns in the past week, indicating a preference for high-beta stocks[20] 2. Factor Name: Momentum Factor - **Factor Construction Idea**: Captures the tendency of stocks with strong past performance to continue performing well in the short term[20] - **Factor Construction Process**: Momentum is calculated based on the cumulative returns of a stock over a specific lookback period, such as 1 month or 5 days[20][22] - **Factor Evaluation**: Significant positive returns were observed, with notable momentum effects in sectors like media, real estate, and agriculture[20][22] 3. Factor Name: Scale Factor - **Factor Construction Idea**: Reflects the size effect, where larger-cap stocks tend to outperform smaller-cap stocks in certain market conditions[20] - **Factor Construction Process**: Scale is measured using market capitalization, with adjustments for sector and industry effects[20] - **Factor Evaluation**: Demonstrated positive returns, indicating a preference for large-cap stocks in the past week[20] --- Factor Backtesting Results 1. Beta Factor - **Weekly Return**: +0.70%[20] 2. Momentum Factor - **Weekly Return**: +0.46%[20] 3. Scale Factor - **Weekly Return**: +0.16%[20]

Core Viewpoint - The report highlights the performance of various market factors and investment strategies, indicating positive returns in several areas while noting the mixed performance of different factors across industries [4][5][6]. Group 1: Market Factor Performance - The momentum factor achieved a positive return of 0.70%, indicating a momentum effect in the market; profitability and Beta factors also showed positive returns of 0.34% and 0.28% respectively, while the market capitalization factor had a negative return of -0.58%, reflecting a small-cap style [4]. - In the CSI 300 stock pool, the best-performing factors included quarterly operating profit growth rate (1.25%), quarterly ROE (1.07%), and early session return factor (0.95%), while the worst performers were the standard deviation of 6-day trading volume (-0.91%), standardized unexpected income (-0.89%), and quarterly EPS (-0.83%) [5]. - In the CSI 500 stock pool, the top factors were post-early session return factor (1.24%), standard deviation of 5-day trading volume (1.05%), and standard deviation of 6-day trading volume (0.82%), with the weakest factors being ROE stability (-0.96%), 5-minute return skewness (-0.84%), and ROA stability (-0.83%) [5]. Group 2: Industry Factor Performance - Fundamental factors showed varied performance across industries, with net asset growth rate, net profit growth rate, earnings per share, and TTM operating profit factors yielding consistent positive returns in the utilities and leisure services sectors [6]. - Valuation factors, particularly the BP factor, demonstrated significant positive returns in the construction materials, banking, and media sectors, while the EP factor showed notable positive returns in the coal industry [6]. - Residual volatility and liquidity factors yielded consistent positive returns in the defense, oil and petrochemical, and automotive industries, with a significant large-cap style observed in the coal and banking sectors [6]. Group 3: Investment Strategy Performance - The PB-ROE-50 combination achieved positive excess returns in the overall market stock pool, with a negative excess return of -0.40% in the CSI 500 stock pool and a positive excess return of 0.44% in the CSI 800 stock pool [7]. - Public fund research stock selection strategy and private fund research tracking strategy both achieved positive excess returns, with the public fund strategy outperforming the CSI 800 by 3.21% and the private fund strategy by 0.16% [8]. - The block trading combination achieved a positive excess return of 3.61% relative to the CSI All Index [9]. - The targeted issuance combination also achieved a positive excess return of 0.77% relative to the CSI All Index [10].

Group 1 - The core viewpoint of the article highlights the performance of various market factors, indicating a mixed performance across different stock pools with specific factors yielding positive or negative returns [2][3][5]. Group 2 - In the overall market, the profitability factor achieved a positive return of 0.54%, while the residual volatility and beta factors gained 0.28% and 0.23% respectively, indicating a small-cap style market performance [2]. - In the CSI 300 stock pool, the best-performing factors included the price-to-earnings (P/E) ratio (2.85%) and the TTM inverse P/E ratio (2.32%), while the worst performers were the 5-minute return skew (-1.53%) and gross profit margin TTM (-1.03%) [3]. - The CSI 500 stock pool saw the ROIC enhancement factor perform well with a return of 1.46%, while the worst performers included the 5-day reversal (-1.25%) [3]. - The liquidity 1500 stock pool had the TTM inverse P/E ratio as the best performer (1.30%), while early morning return factors showed negative performance [3]. Group 3 - The fundamental factors showed varied performance across industries, with net asset growth rate and net profit growth rate factors performing consistently well in the telecommunications, beauty care, and commercial trade sectors [5]. - Valuation factors, particularly the earnings yield (EP) factor, performed well in the telecommunications, oil and petrochemical, and steel industries [5]. - The small-cap style was notably significant in the beauty care, media, and computer industries this week [5]. Group 4 - The PB-ROE-50 combination achieved positive excess returns across stock pools, with the CSI 500 pool gaining 1.34% and the CSI 800 pool gaining 1.37% [6]. - The public fund research selection strategy and private fund research tracking strategy both recorded negative excess returns relative to the CSI 800, with losses of -1.58% and -1.45% respectively [7]. - The block trading combination underperformed relative to the CSI All Index, with an excess return of -0.62% [8]. - The targeted issuance combination achieved positive excess returns relative to the CSI All Index, with a gain of 1.17% [9].

Market Sentiment Tracking - As of May 30, 2025, the proportion of rising stocks in the CSI 300 has increased month-on-month, with the rising stock ratio above 50%, indicating high market sentiment [2] - Momentum sentiment indicators show a downward trend in both fast and slow lines over the past month, with the fast line below the slow line, suggesting a cautious outlook in the near term [2] - The short-term CSI 300 index is currently in a non-prosperous sentiment zone [2] Fund Separation Degree Tracking - As of May 30, 2025, the degree of fund separation has slightly decreased, indicating a strengthening of fund clustering [3] - The excess returns of clustered stocks and funds have slightly declined over the past month [3] PB-ROE-50 Strategy Tracking - In May 2025, the PB-ROE-50 strategy achieved positive excess returns across various stock pools [4] - The strategy based on the CSI 500 stock pool gained an excess return of 2.39% [4] - The strategy based on the CSI 800 stock pool achieved an excess return of 1.30% [4] - The strategy based on the overall market stock pool obtained an excess return of 1.33% [4] Institutional Research Strategy Tracking - In May 2025, the private equity research tracking strategy generated positive excess returns [5] - The public fund research stock selection strategy relative to the CSI 800 had an excess return of -0.44% [5] - The private equity research tracking strategy relative to the CSI 800 achieved an excess return of 2.57% [5] Negative List - As of May 30, 2025, among the top 30 stocks with high interest-bearing debt ratios, several companies such as Zhongyida, Guiding Compass, and Modern Investment ranked 100 or lower under traditional metrics [6] - Stocks with high financial cost burden ratios include companies like Liaoning Chengda and Yinbao Shanyin, with all indicators exceeding 10 times [6]

- The PB-ROE-50 portfolio achieved an excess return of 1.15% in the CSI 500 stock pool, 0.29% in the CSI 800 stock pool, and -0.30% in the entire market stock pool[23][24] - The public research stock selection strategy achieved an excess return of 0.54% relative to the CSI 800, while the private research tracking strategy achieved an excess return of 2.61% relative to the CSI 800[25][26] - The block trading portfolio achieved an excess return of -0.61% relative to the CSI All Share Index[29][30] - The directed issuance portfolio achieved an excess return of 0.12% relative to the CSI All Share Index[35][36] - The momentum factor and growth factor achieved positive returns of 0.12% and 0.04% respectively, while the liquidity factor, beta factor, and size factor achieved significant negative returns of -0.56%, -0.52%, and -0.40% respectively[18][20] - In the CSI 500 stock pool, the best-performing factors this week were gross profit margin TTM (1.65%), single-quarter ROA (1.40%), and single-quarter total asset gross profit margin (1.26%)[14][15] - In the liquidity 1500 stock pool, the best-performing factors this week were 5-day average turnover rate (0.45%), 5-minute return skewness (0.36%), and downside volatility ratio (0.33%)[16][17] - In the CSI 500 stock pool, the worst-performing factors this week were single-quarter net profit year-on-year growth rate (-0.42%), 5-day reversal (-0.49%), and post-morning return factor (-0.64%)[14][15] - In the liquidity 1500 stock pool, the worst-performing factors this week were momentum spring factor (-1.07%), 5-day reversal (-1.11%), and single-quarter net profit year-on-year growth rate (-1.19%)[16][17] - In the CSI 300 stock pool, the best-performing factors this week were net profit gap (1.30%), 5-day exponential moving average of trading volume (1.15%), and total asset gross profit margin TTM (1.02%)[12][13] - In the CSI 300 stock pool, the worst-performing factors this week were logarithmic market value factor (-1.02%), momentum spring factor (-1.12%), and post-morning return factor (-1.29%)[12][13] - The net asset growth rate factor performed well in the comprehensive industry, and the net profit growth rate factor performed well in the steel industry[21][22] - The BP factor performed well in the beauty and personal care industry, and the EP factor performed well in the coal industry[21][22]