点击注册小程序 查看完整报告 特别申明： 本订阅号中所涉及的证券研究信息由光大证券研究所编写，仅面向光大证券专业投资者客户，用作新媒体形势下研究 信息和研究观点的沟通交流。非光大证券专业投资者客户，请勿订阅、接收或使用本订阅号中的任何信息。本订阅号 难以设置访问权限，若给您造成不便，敬请谅解。光大证券研究所不会因关注、收到或阅读本订阅号推送内容而视相 关人员为光大证券的客户。 报告摘要 量化市场跟踪 大类因子表现： 本周全市场股票池中，估值因子和盈利因子分别获取正收益0.27%、0.25%；市值因子、非线性市值因子分 别获取负收益-0.91%、-0.51%，市场表现为小市值风格；残差波动率因子获取负收益-0.44%；其余风格因 子表现一般。 中证500股票池中，本周表现较好的因子有市净率因子(1.78%)、标准化预期外收入(1.74%)、经营现金流比 率 (1.28%)。表现较差的因子有单季度净利润同比增长率(-1.19%)、单季度营业利润同比增长率(-1.06%)、 单季度ROA同比(-0.98%)。 流动性1500股票池中，本周表现较好的因子有市盈率因子 (1.44%)、下行波动率占比 (1.24%)、市 ...

2025 年 12 月 20 日 总量研究 市场小市值风格显著，估值因子表现良好 ——量化组合跟踪周报 20251220 要点 量化市场跟踪 大类因子表现：本周全市场股票池中，估值因子和盈利因子分别获取正收益 0.27%、0.25%；市值因子、非线性市值因子分别获取负收益-0.91%、-0.51%， 市场表现为小市值风格；残差波动率因子获取负收益-0.44%；其余风格因子表 现一般。 单因子表现：沪深 300 股票池中，本周表现较好的因子有单季度 ROE 同比 (2.31%)、单季度 ROE (1.81%)、市盈率因子 (1.51%)。表现较差的因子有总资 产 增 长 率(-1.28%)、单 季 度 营 业 利 润 同 比 增 长 率 (-0.83%)、净 利 润 断 层 (-0.36%)。 中证 500 股票池中，本周表现较好的因子有市净率因子(1.78%)、标准化预期外 收入(1.74%)、经营现金流比率 (1.28%)。表现较差的因子有单季度净利润同比 增长率(-1.19%)、单季度营业利润同比增长率(-1.06%)、单季度 ROA 同比 (-0.98%)。 流动性 1500 股票池中，本周表现较好的因 ...

Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 Combination - **Model Construction Idea**: The PB-ROE-50 combination is designed to capture excess returns by selecting stocks with favorable Price-to-Book (PB) and Return on Equity (ROE) characteristics[25] - **Model Construction Process**: The model selects stocks based on PB and ROE metrics, with adjustments for market capitalization and rebalancing on a periodic basis. The detailed construction process is referenced in a prior report[25][26] - **Model Evaluation**: The model demonstrated significant excess returns across different stock pools during the analyzed period, indicating its effectiveness in identifying profitable investment opportunities[25][26] 2. Model Name: Institutional Research Combination - **Model Construction Idea**: This model leverages the insights from public and private institutional research to identify stocks with potential for excess returns[28] - **Model Construction Process**: The model uses a strategy that tracks stocks selected by public and private institutional research, with adjustments made relative to the CSI 800 index. The methodology is detailed in prior reports[28] - **Model Evaluation**: The model showed strong performance, achieving positive excess returns, which highlights the value of institutional research in stock selection[28][29] 3. Model Name: Block Trade Combination - **Model Construction Idea**: This model identifies stocks with high block trade activity and low volatility, which are likely to outperform[32] - **Model Construction Process**: The model is constructed based on the "high transaction, low volatility" principle, using monthly rebalancing. The detailed methodology is outlined in a prior report[32] - **Model Evaluation**: The model effectively captures excess returns, demonstrating the informational value of block trade activity[32][33] 4. Model Name: Private Placement Combination - **Model Construction Idea**: This model focuses on stocks involved in private placement events, aiming to capture event-driven excess returns[38] - **Model Construction Process**: The model is constructed by considering factors such as market capitalization, rebalancing cycles, and position control, with the private placement announcement date as the key event. The detailed methodology is provided in a prior report[38] - **Model Evaluation**: The model showed a slight negative excess return during the analyzed period, suggesting limited effectiveness in the current market environment[38][39] --- Model Backtesting Results 1. PB-ROE-50 Combination - Weekly excess return: CSI 500: 0.47%, CSI 800: 1.54%, All-market: 1.59%[25][26] - Year-to-date excess return: CSI 500: 2.06%, CSI 800: 15.14%, All-market: 18.32%[26] 2. Institutional Research Combination - Weekly excess return: Public research: 3.63%, Private research: 3.32%[28][29] - Year-to-date excess return: Public research: 16.50%, Private research: 15.79%[29] 3. Block Trade Combination - Weekly excess return: 2.93%[32][33] - Year-to-date excess return: 39.24%[33] 4. Private Placement Combination - Weekly excess return: -0.01%[38][39] - Year-to-date excess return: -3.70%[39] --- Quantitative Factors and Construction Methods 1. Factor Name: Momentum Spring Factor - **Factor Construction Idea**: Captures momentum effects by identifying stocks with strong recent performance trends[12][13] - **Factor Construction Process**: The factor is calculated based on recent price movements, adjusted for market and sector effects. The exact formula is not provided in the report[12][13] - **Factor Evaluation**: Demonstrated strong positive returns across multiple stock pools, indicating its effectiveness in capturing momentum effects[12][13] 2. Factor Name: Early Morning Return Factor - **Factor Construction Idea**: Measures the return performance of stocks during the early trading hours[12][13] - **Factor Construction Process**: The factor is calculated by isolating returns during the early trading hours and adjusting for market and sector influences[12][13] - **Factor Evaluation**: Showed consistent positive returns, highlighting its potential as a predictive factor[12][13] 3. Factor Name: Single Quarter ROA - **Factor Construction Idea**: Focuses on the return on assets (ROA) for a single quarter to identify efficient companies[12][13] - **Factor Construction Process**: The factor is derived from quarterly financial reports, specifically the ratio of net income to total assets, adjusted for market and sector effects[12][13] - **Factor Evaluation**: Demonstrated positive returns, indicating its utility in identifying fundamentally strong companies[12][13] --- Factor Backtesting Results 1. Momentum Spring Factor - Weekly return: CSI 300: 2.26%, CSI 500: 2.56%, Liquidity 1500: 3.25%[12][13][19] - Monthly return: CSI 300: 3.00%, CSI 500: 0.55%, Liquidity 1500: -0.79%[13][15][19] - Year-to-date return: CSI 300: 8.96%, CSI 500: 5.35%, Liquidity 1500: 9.79%[13][15][19] 2. Early Morning Return Factor - Weekly return: CSI 300: 1.88%, CSI 500: 2.66%, Liquidity 1500: 3.21%[12][13][19] - Monthly return: CSI 300: 1.48%, CSI 500: 1.81%, Liquidity 1500: 0.66%[13][15][19] - Year-to-date return: CSI 300: 4.90%, CSI 500: 4.18%, Liquidity 1500: 11.40%[13][15][19] 3. Single Quarter ROA - Weekly return: CSI 300: 1.90%, CSI 500: -0.90%, Liquidity 1500: 0.68%[12][13][19] - Monthly return: CSI 300: 1.19%, CSI 500: 0.47%, Liquidity 1500: -1.20%[13][15][19] - Year-to-date return: CSI 300: 20.46%, CSI 500: -3.19%, Liquidity 1500: 10.47%[13][15][19]

Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 Combination - **Model Construction Idea**: The PB-ROE-50 combination is constructed based on the principle of selecting stocks with low price-to-book (PB) ratios and high return on equity (ROE), aiming to capture value and profitability factors[25] - **Model Construction Process**: - Stocks are selected based on their PB and ROE metrics - The portfolio is rebalanced periodically to maintain the desired exposure to these factors - The construction details are referenced in earlier reports[25][26] - **Model Evaluation**: The model experienced a drawdown in excess returns across all stock pools during the week, indicating potential short-term underperformance[25] --- Model Backtesting Results 1. PB-ROE-50 Combination - **Excess Return**: - CSI 500: -0.23% this week, 2.92% year-to-date - CSI 800: -0.98% this week, 15.82% year-to-date - Full Market: -1.39% this week, 18.21% year-to-date[26] - **Absolute Return**: - CSI 500: -1.49% this week, 30.06% year-to-date - CSI 800: -2.10% this week, 38.80% year-to-date - Full Market: -1.91% this week, 46.11% year-to-date[26] --- Quantitative Factors and Construction Methods 1. Factor Name: Residual Volatility Factor - **Factor Construction Idea**: Captures the residual volatility of stocks after controlling for market and sector effects, aiming to identify stocks with stable performance[20] - **Factor Construction Process**: - Calculate the residual volatility of stock returns after regressing against market and sector returns - Rank stocks based on their residual volatility and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered positive returns this week, indicating its effectiveness in capturing stable stocks during the period[20] 2. Factor Name: Leverage Factor - **Factor Construction Idea**: Measures the financial leverage of companies, aiming to capture the risk-return tradeoff associated with leverage[20] - **Factor Construction Process**: - Calculate the leverage ratio of companies (e.g., debt-to-equity ratio) - Rank stocks based on their leverage and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered positive returns this week, suggesting its relevance in the current market environment[20] 3. Factor Name: Beta Factor - **Factor Construction Idea**: Measures the sensitivity of a stock's returns to market returns, aiming to capture systematic risk[20] - **Factor Construction Process**: - Calculate the beta of stocks using historical return data - Rank stocks based on their beta and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered negative returns this week, indicating underperformance in the current market environment[20] 4. Factor Name: Size Factor - **Factor Construction Idea**: Captures the size effect by focusing on small-cap stocks, which tend to outperform large-cap stocks over time[20] - **Factor Construction Process**: - Rank stocks based on their market capitalization - Construct a portfolio with a tilt towards smaller-cap stocks[20] - **Factor Evaluation**: The factor delivered negative returns this week, despite the general preference for small-cap stocks in the market[20] 5. Factor Name: Momentum Factor - **Factor Construction Idea**: Captures the momentum effect by focusing on stocks with strong recent performance[20] - **Factor Construction Process**: - Calculate the past returns of stocks over a specific period (e.g., 6 months or 12 months) - Rank stocks based on their momentum and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered negative returns this week, indicating a reversal effect in the market[20] --- Factor Backtesting Results 1. Residual Volatility Factor - Weekly Return: 0.50%[20] 2. Leverage Factor - Weekly Return: 0.36%[20] 3. Beta Factor - Weekly Return: -1.10%[20] 4. Size Factor - Weekly Return: -0.92%[20] 5. Momentum Factor - Weekly Return: -0.70%[20]

Core Viewpoint - The article provides a comprehensive analysis of market performance, highlighting the varying returns of different factors and strategies within the stock market, indicating a mixed sentiment among investors and the potential for selective investment opportunities [4][5][6][7][8][9][10]. Factor Performance - In the overall market, the valuation factor achieved a positive return of 0.40%, while the market capitalization factor and non-linear market capitalization factor recorded negative returns of -0.72% and -0.40% respectively, suggesting a small-cap style market performance [4]. - In the CSI 300 stock pool, the best-performing factors included the inverse TTM price-to-earnings ratio (3.05%), price-to-earnings ratio (2.30%), and price-to-book ratio (2.06%), while the worst performers were TTM gross profit margin (-2.11%), total asset growth rate (-1.80%), and quarterly gross profit margin (-1.58%) [5]. - In the CSI 500 stock pool, the top factors were the inverse TTM price-to-earnings ratio (2.71%), price-to-book ratio (2.07%), and price-to-earnings ratio (1.74%), with the lowest performers being TTM gross profit margin (-2.13%), quarterly gross profit margin (-2.02%), and quarterly ROA year-on-year (-1.50%) [5]. - In the liquidity 1500 stock pool, the leading factors were the inverse TTM price-to-earnings ratio (1.74%), price-to-earnings ratio (1.68%), and price-to-book ratio (1.34%), while the worst were post-opening returns (-3.00%), TTM gross profit margin (-2.64%), and quarterly gross profit margin (-2.50%) [5]. Industry Factor Performance - The 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 positive returns in the oil and petrochemical industry [6]. - Among valuation factors, the BP factor performed well, achieving positive returns across most industries, while residual volatility and liquidity factors showed significant positive returns in the comprehensive industry [6]. - The market exhibited a notable small-cap style across most industries during the week [6]. Strategy Performance - The PB-ROE-50 combination achieved positive excess returns in the CSI 500 and CSI 800 stock pools, with excess returns of 1.00% and 0.48% respectively, while the overall market stock pool recorded an excess return of -2.00% [7]. - The private equity research tracking strategy yielded negative excess returns, while the public equity research selection strategy achieved an excess return of 0.00% relative to the CSI 800, and the private equity tracking strategy had an excess return of -1.96% [8]. - The block trading combination achieved positive excess returns relative to the CSI All Share Index, with an excess return of 1.08% [9]. - The targeted issuance combination also recorded positive excess returns relative to the CSI All Share Index, with an excess return of 1.93% [10].

Group 1: Market Trends - The market is currently exhibiting a small-cap style, with valuation factors yielding a positive return of 0.40%, while market capitalization factors have negative returns of -0.72% and -0.40% respectively [4] - Momentum and Beta factors also showed negative returns of -0.79% and -0.43%, indicating a reversal effect in the market [4] - The large transaction portfolio achieved a positive excess return of 1.08% relative to the CSI All Share Index [4] Group 2: Fixed Income - The secondary market for publicly listed REITs in China has shown a downward trend, with the weighted REITs index closing at 182.3 and a weekly return of -0.48% [5] - In comparison to other major asset classes, the return rates ranked from high to low are: convertible bonds, crude oil, A-shares, pure bonds, gold, REITs, and US stocks [5] - Credit bonds issued totaled 334, with a total issuance scale of 363.4 billion yuan, reflecting a week-on-week decrease of 7.66% [5] - Industrial bonds accounted for 162 issues, with an issuance scale of 176.9 billion yuan, marking a week-on-week increase of 5.36% [5] Group 3: Oil and Chemical Industry - OPEC+ announced a production increase of 137,000 barrels per day in December, while suspending production increases from January to March 2026, which is expected to alleviate concerns over oil supply [6] - The ongoing geopolitical tensions, particularly the prolonged Russia-Ukraine conflict and increased sanctions on Russia, are likely to provide a risk premium for oil prices [6] Group 4: Basic Chemicals - Strong demand for energy storage and power batteries is tightening the supply-demand situation for iron phosphate, leading to improved prices and profitability for phosphate chemical companies [6] - Limited new capacity for phosphate rock in the short to medium term is expected to maintain high prices for high-grade phosphate rock, benefiting leading companies in the industry [6] Group 5: Semiconductor Industry - In Q3 2025, the company achieved a revenue of 635 million USD, reflecting a year-on-year increase of 20.7% and a quarter-on-quarter increase of 12.2%, driven by increased wafer shipments and ASP growth [7] - The revenue from 8-inch wafers was 259 million USD, showing a year-on-year decrease of 1.6% but a quarter-on-quarter increase of 11.4%, while 12-inch wafers generated 376 million USD, with a year-on-year increase of 43% and a quarter-on-quarter increase of 12.8% [7] Group 6: Healthcare Industry - The company's shareholder return plan has strengthened confidence, further solidifying its position as an industry leader [8] - The "Double Beauty + Double Health" business model has effectively built a high-quality membership system, while the acquisition of the second-largest brand in the industry, Nair, has improved its net profit margin from 6.5% to 10.4% in the first half of 2025 [8]

- **Quantitative factors tracked** - Single factor performance: In the CSI 300 stock pool, the best-performing factors this week include PE TTM inverse (3.05%), PE factor (2.30%), and PB factor (2.06%) [12][13] - In the CSI 500 stock pool, the best-performing factors include PE TTM inverse (2.71%), PB factor (2.07%), and PE factor (1.74%) [14][15] - In the liquidity 1500 stock pool, the best-performing factors include PE TTM inverse (1.74%), PE factor (1.68%), and PB factor (1.34%) [16][17] - **Sector-specific factor performance** - Fundamental factors such as net asset growth rate, net profit growth rate, per-share net asset factor, and per-share operating profit TTM factor achieved positive returns in the oil and petrochemical sector [21][22] - Valuation factors like BP factor performed well across most industries [21][22] - Residual volatility factor and liquidity factor showed significant positive returns in the comprehensive industry [21][22] - **Factor classification and market trends** - Broad market factor performance: Valuation factors achieved positive returns of 0.40%, while market capitalization factors and non-linear market capitalization factors recorded negative returns of -0.72% and -0.40%, respectively, indicating a small-cap style market trend [18][20] - Momentum factor and Beta factor recorded negative returns of -0.79% and -0.43%, respectively, reflecting a reversal effect in the market [18][20] - **Quantitative portfolio tracking** - PB-ROE-50 portfolio: This week, the portfolio achieved excess returns of 1.00% in the CSI 500 stock pool, 0.48% in the CSI 800 stock pool, and -2.00% in the broad market stock pool [23][24] - Institutional research portfolio: The public fund research stock selection strategy achieved excess returns of 0.00% relative to the CSI 800, while the private fund research tracking strategy recorded excess returns of -1.96% relative to the CSI 800 [25][26] - Block trading portfolio: Constructed based on the principle of "high transaction volume, low volatility," this portfolio achieved excess returns of 1.08% relative to the CSI All Share Index this week [29][30] - Private placement portfolio: Built around the event-driven strategy of targeted placements, this portfolio achieved excess returns of 1.93% relative to the CSI All Share Index this week [35][36] - **Performance metrics of quantitative portfolios** - PB-ROE-50 portfolio: Weekly excess return of 1.00% in CSI 500, 0.48% in CSI 800, and -2.00% in the broad market [24] - Institutional research portfolio: Weekly excess return of 0.00% for public fund research stock selection and -1.96% for private fund research tracking [26] - Block trading portfolio: Weekly excess return of 1.08% [30] - Private placement portfolio: Weekly excess return of 1.93% [36]

Group 1 - The core viewpoint highlights that in the current loose monetary policy environment, small-cap stocks are gaining an advantage, with the North Exchange 50 Index effectively reflecting the performance of small and micro-cap stocks, characterized by high elasticity and policy adaptability [1][2] - As of November 7, 2025, the North Exchange 50 Index has risen by 1.09%, with significant gains in constituent stocks such as Anda Technology (up 23.94%), Silane Technology (up 10.27%), and Huami New Materials (up 6.88%) [1] - The North Exchange is focused on improving its merger and acquisition system, guiding financial resources towards key core technology sectors, and enhancing the attractiveness of its market through various reforms and new bond products [1] Group 2 - The North Exchange's overall revenue and profit showed recovery in the third quarter, although the profit growth rate remains negative, indicating pressure on core profitability [2] - There is optimism regarding the North Exchange's future performance, with favorable factors accumulating and clear signals of policy warming, particularly the anticipated launch of the North Exchange 50 ETF, which is expected to attract incremental funds [2] - The North Exchange aims to enhance investment transaction convenience by accelerating the launch of the North Exchange 50 ETF and exploring after-hours fixed-price trading [2]

Macro Analysis - The land market remains sluggish, dragging down local government fund revenues, which are significantly lagging behind previous years [2] - The acceleration of fund activation post-special bond issuance is reflected in a substantial year-on-year decrease in fiscal deposits, aiding in improving narrow liquidity and stabilizing infrastructure investment growth for the year [2] - The combined effect of policy financial tools and the use of local debt limits amounts to 1 trillion yuan, positively impacting credit expansion and investment [2] Strategy Insights - The market is likely still in a bull phase, although it may enter a wide fluctuation stage in the short term, with the current maximum drawdown being 4.01%, which is within historical levels [4] - Short-term focus should be on defensive and consumer sectors, while mid-term attention should shift to TMT and advanced manufacturing [4] Bond Market Overview - The issuance of credit bonds increased significantly, with 379 bonds issued totaling 433.33 billion yuan, a 206.54% increase compared to the previous period [5] - The secondary market for REITs saw a notable decline, with the weighted REITs index closing at 181.3, reflecting a weekly return of -1.42% [4][5] Real Estate Sector - In September, the transaction area of commercial residential properties in 30 core cities was 10.8 million square meters, down 1.2% year-on-year but up 22.2% month-on-month, with an average transaction price of 24,133 yuan per square meter, up 1.9% year-on-year and 1.5% month-on-month [9] - The second-hand housing market in 15 core cities saw a transaction area of 12.23 million square meters, up 15.5% year-on-year and 2.6% month-on-month [9] Electric New Energy Sector - The electric new energy sector is experiencing increased volatility due to fluctuating tariff policies, with the storage and lithium battery segments remaining the most promising [10] - High-tech developments, such as the 800VDC distribution architecture by Nvidia, are expected to influence the sector's future trends [10] Non-Ferrous Metals Sector - Global copper inventories reached a near five-year high, with supply constraints expected to keep prices elevated despite potential short-term volatility due to trade tensions [11] - Recommendations include companies like Zijin Mining and Luoyang Molybdenum, with a focus on the recovery of demand in Q4 [11] Chemical Industry - The supply-demand dynamics for lithium hexafluorophosphate are improving, with prices expected to rise, suggesting a focus on leading companies in this segment [13] - The oil and gas sector shows resilience in pricing, particularly for the "three barrels of oil," with expectations for natural gas consumption to recover in the upcoming winter [12] Company Research - Jianfa Property reported a sales figure of 95.6 billion yuan for the first nine months, a year-on-year increase of 12.1%, with a strong outlook for project deliveries [14] - China Jiemao's sales reached 80.7 billion yuan, up 27% year-on-year, indicating robust performance and growth potential in property management projects [15] - Huayou Cobalt achieved a net profit of 4.22 billion yuan in the first three quarters, a 39.6% increase year-on-year, with strong future profit projections [16] - Zijin Mining's net profit for the first three quarters was 37.86 billion yuan, reflecting a 55.5% year-on-year growth, with positive forecasts for the coming years [17]

Core Viewpoint - The report highlights the performance of various market factors and investment strategies, indicating a mixed performance across different stock pools and strategies, with some factors showing positive returns while others underperformed [4][5][6][7][8][9][10]. Factor Performance - In the overall market stock pool, the momentum factor achieved a positive return of 0.43%, while the Beta factor, market capitalization factor, and non-linear market capitalization factor recorded negative returns of -1.50%, -0.91%, and -0.54% respectively, indicating a small-cap style market performance [4]. - In the CSI 300 stock pool, the best-performing factors included the standard deviation of 5-day trading volume (2.12%), the proportion of downside volatility (1.78%), and the 5-day index moving average of trading volume (1.35%). Conversely, the worst-performing factors were the 5-day reversal (-3.60%), quarterly gross profit margin (-3.43%), and quarterly ROA (-3.38%) [5]. - In the CSI 500 stock pool, the top-performing factors were the inverse of TTM P/E ratio (3.99%), the proportion of downside volatility (3.80%), and the P/E factor (3.17%). The underperforming factors included the 5-day reversal (-1.95%), 5-day average turnover rate (-1.17%), and the 5-day index moving average of trading volume (-1.15%) [5]. - In the liquidity 1500 stock pool, the best-performing factors were the correlation between intraday volatility and trading volume (2.27%), the proportion of downside volatility (1.80%), and the P/B ratio factor (1.51%). The worst-performing factors were quarterly EPS (-1.36%), standardized expected external income (-1.29%), and the 5-day reversal (-1.25%) [5]. Industry Factor Performance - The 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 non-bank financial sector. Valuation factors such as BP and EP also performed well in the home appliance, comprehensive, and non-bank financial sectors. Residual volatility and liquidity factors showed significant positive returns in the coal industry, while large-cap styles were prominent in the food and beverage, beauty care, and banking sectors [6]. Strategy Performance - The PB-ROE-50 combination achieved positive excess returns in the CSI 500 stock pool, with an excess return of 0.15%. However, it underperformed in the CSI 800 stock pool with an excess return of -1.50% and in the overall market stock pool with an excess return of -2.52% [7]. - The public fund research selection strategy and private fund research tracking strategy both recorded negative excess returns, with the public fund strategy yielding -0.94% relative to the CSI 800 and the private fund strategy yielding -4.83% [8]. - The block trading combination achieved positive excess returns relative to the CSI All Share Index, with an excess return of 1.56% [9]. - The targeted issuance combination also achieved positive excess returns relative to the CSI All Share Index, with an excess return of 1.86% [10].