2026 年 3 月 3 日 总量研究 短线重视资源品配置机会 ——金融工程市场跟踪周报 20260303 要点 市场核心观点： 上周（2026.02.24-2026.02.27）A 股实现震荡上行，中证 1000 周度上涨 4.34%、 领涨主要宽基指数。量能表现方面，主要宽基指数量能震荡回升，截至上周五 （2026.02.27，下同）主要宽基指数量能择时维持谨慎观点，市场进一步上行或 需量能进一步提振。资金面方面，周度融资增加额转正，市场风险偏好有所提升。 近期中东局势发生剧烈变化，带动资源品价格震荡上行，或影响权益市场相关板 块价格表现。当前市场量能仍在修复阶段，量能未能持续突破下，权益指数难有 强势上涨表现。风险偏好提升背景下，市场或震荡上行。短期看好资源品配置机 会，中长期仍看好"红利+科技"配置主线。 上周市场各指数均表现为上涨，上证综指上涨 1.98%，上证 50 上涨 0.17%，沪 深 300 上涨 1.08%，中证 500 上涨 4.32%，中证 1000 上涨 4.34%，创业板指 上涨 1.05%，北证 50 指数上涨 0.48%。 截至 2026 年 2 月 27 日，宽基指数来看， ...

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 本周市场核心观点： 本周（2026.02.02-2026.02.06，下同）A股市场震荡回落，主要宽基指数量能持续收缩。截至周五 （2025.02.06），主要宽基指数量能择时指标维持谨慎信号。资金面方面，股票型ETF资金延续净流出、 净流出幅度环比上周大幅收窄，被动资金情绪或有缓和。 行业主题表现方面，受黄金等重要资源品价格回落影响，A股资源品相关板块周度表现不佳，TMT整体表 现亦受拖累，消费、金融等表现相对占优。市场交易情绪短期尚未出现提振，后市或延续震荡上行表现， 中长线持续看好"红利+科技"配置主线，短线"红利"方向或占优。 本周市场各指数均表现为下跌，上证综指下跌1.27%，上证50下跌0.93%，沪深300下跌1 ...

Quantitative Models and Factors Summary Quantitative Models and Construction Methods Model Name: Volume Timing Model - **Model Construction Idea**: The model uses volume signals to determine market timing[12] - **Model Construction Process**: - The model evaluates the volume timing signals for major indices as of February 6, 2026, and maintains a cautious view[24] - **Model Evaluation**: The model is currently signaling a cautious outlook for all major indices[24] Model Name: Momentum Sentiment Indicator - **Model Construction Idea**: The model uses the number of stocks with positive returns within an index to gauge market sentiment[24] - **Model Construction Process**: - Calculate the proportion of stocks in the CSI 300 index with positive returns over the past N days - The formula is: $ \text{CSI 300 Index N-day Upward Stock Proportion} = \frac{\text{Number of stocks with positive returns in the past N days}}{\text{Total number of stocks in the index}} $[24] - **Model Evaluation**: The indicator can quickly capture upward opportunities but may miss out on gains during sustained market exuberance and has limitations in predicting downturns[25] Model Name: Moving Average Sentiment Indicator - **Model Construction Idea**: The model uses the eight moving average system to determine the trend state of the CSI 300 index[32] - **Model Construction Process**: - Calculate the eight moving average values for the CSI 300 index closing prices with parameters 8, 13, 21, 34, 55, 89, 144, 233 - Assign values to the moving average indicator based on the moving average interval values - The formula is: $ \text{Indicator Value} = \begin{cases} -1 & \text{if interval value is 1/2/3} \\ 0 & \text{if interval value is 4/5/6} \\ 1 & \text{if interval value is 7/8/9} \end{cases} $[32] - **Model Evaluation**: The recent CSI 300 index is in a non-prosperous sentiment interval[32] Model Backtesting Results Volume Timing Model - **Signal**: Cautious for all major indices[24] Momentum Sentiment Indicator - **Current Value**: The indicator is above 60%, indicating high market sentiment[25] Moving Average Sentiment Indicator - **Current Value**: The CSI 300 index is in a non-prosperous sentiment interval[32] Quantitative Factors and Construction Methods Factor Name: Cross-sectional Volatility - **Factor Construction Idea**: The factor measures the cross-sectional volatility of index constituent stocks to assess the Alpha environment[36] - **Factor Construction Process**: - Calculate the cross-sectional volatility for the CSI 300, CSI 500, and CSI 1000 index constituent stocks - The formula is: $ \text{Cross-sectional Volatility} = \sqrt{\frac{1}{N-1} \sum_{i=1}^{N} (R_i - \bar{R})^2} $ where $ R_i $ is the return of stock i, and $ \bar{R} $ is the average return[37] - **Factor Evaluation**: The short-term Alpha environment has deteriorated, but the quarterly view shows a good Alpha environment for the CSI 300 and CSI 1000 indices[36] Factor Name: Time-series Volatility - **Factor Construction Idea**: The factor measures the time-series volatility of index constituent stocks to assess the Alpha environment[37] - **Factor Construction Process**: - Calculate the time-series volatility for the CSI 300, CSI 500, and CSI 1000 index constituent stocks - The formula is: $ \text{Time-series Volatility} = \sqrt{\frac{1}{T-1} \sum_{t=1}^{T} (R_t - \bar{R})^2} $ where $ R_t $ is the return at time t, and $ \bar{R} $ is the average return[40] - **Factor Evaluation**: The recent week shows an improvement in the Alpha environment for all indices[37] Factor Backtesting Results Cross-sectional Volatility - **CSI 300**: - Last quarter average: 2.17% - Last quarter percentile (2 years): 70.99% - Last quarter percentile (1 year): 74.07% - Last quarter percentile (6 months): 65.64%[37] - **CSI 500**: - Last quarter average: 2.48% - Last quarter percentile (2 years): 48.41% - Last quarter percentile (1 year): 53.97% - Last quarter percentile (6 months): 56.35%[37] - **CSI 1000**: - Last quarter average: 2.63% - Last quarter percentile (2 years): 66.53% - Last quarter percentile (1 year): 68.92% - Last quarter percentile (6 months): 66.14%[37] Time-series Volatility - **CSI 300**: - Last quarter average: 0.96% - Last quarter percentile (2 years): 58.02% - Last quarter percentile (1 year): 60.91% - Last quarter percentile (6 months): 47.94%[40] - **CSI 500**: - Last quarter average: 1.27% - Last quarter percentile (2 years): 50.00% - Last quarter percentile (1 year): 57.94% - Last quarter percentile (6 months): 60.32%[40] - **CSI 1000**: - Last quarter average: 1.22% - Last quarter percentile (2 years): 63.35% - Last quarter percentile (1 year): 71.31% - Last quarter percentile (6 months): 66.93%[40]

点击注册小程序 查看完整报告 特别申明： 截至2026年1月30日，宽基指数来看，中证500、中证1000、创业板指处于估值分位数"适中"等级，上证指 数、上证50、沪深300处于估值分位数"危险"等级。 中信一级行业分类来看，食品饮料、非银行金融处于估值分位数"安全"等级。 截面波动率来看，沪深300、中证500、中证1000指数成分股横截面波动率环比前一周上升，短期Alpha环 境好转。 时间序列上来看，最近一周沪深300指数成分股时间序列波动率环比前一周上升，Alpha环境好转；中证 500中证指数成分股时间序列波动率环比前一周无变化，Alpha环境保持不变；1000指数成分股时间序列波 动率环比前一周下降，Alpha环境恶化。 资金面跟踪： 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 本周市场核心观点： ...

Quantitative Models and Construction Methods 1. Model Name: Volume Timing Model - **Model Construction Idea**: The model uses volume-based timing signals to assess market sentiment and provide trading signals[23] - **Model Construction Process**: - The model evaluates the volume timing signals of major broad-based indices - Signals are categorized as "cautious" or "optimistic" based on volume trends - As of January 30, 2026, all major indices (e.g., SSE Composite Index, CSI 300, etc.) showed "cautious" volume timing signals[24] - **Model Evaluation**: The model provides a straightforward approach to gauge market sentiment but may lack granularity in capturing nuanced market dynamics[23][24] 2. Model Name: Momentum Sentiment Indicator - **Model Construction Idea**: This model identifies market sentiment by analyzing the proportion of stocks with positive returns in the CSI 300 Index over a specific period[24] - **Model Construction Process**: - The indicator is calculated as: $ \text{CSI 300 N-day Upward Stock Proportion} = \frac{\text{Number of CSI 300 stocks with positive returns over N days}}{\text{Total number of CSI 300 stocks}} $ - The indicator is smoothed using two moving averages with different window periods (N1 = 50, N2 = 35) to create a "fast line" and a "slow line" - A buy signal is generated when the fast line exceeds the slow line, and a neutral signal is generated when the fast line falls below the slow line[26][28] - **Model Evaluation**: The indicator is effective in capturing upward market opportunities but may fail to predict downturns accurately. It also tends to miss gains during prolonged market exuberance[25] 3. Model Name: Moving Average Sentiment Indicator - **Model Construction Idea**: This model uses an eight-moving-average system to assess the trend state of the CSI 300 Index and generate trading signals[32] - **Model Construction Process**: - Calculate the eight moving averages of the CSI 300 Index closing price with parameters: 8, 13, 21, 34, 55, 89, 144, and 233 - Assign values to the indicator based on the number of moving averages the current price exceeds: - If the price exceeds more than five moving averages, the sentiment is bullish - Generate a buy signal when the current price exceeds five moving averages[36] - **Model Evaluation**: The model provides a clear framework for trend analysis but may oversimplify complex market dynamics[36] --- Model Backtesting Results 1. Volume Timing Model - All major indices (e.g., SSE Composite Index, CSI 300, CSI 500, etc.) showed "cautious" volume timing signals as of January 30, 2026[24] 2. Momentum Sentiment Indicator - The CSI 300 N-day upward stock proportion indicator was above 60% as of January 30, 2026, indicating high market sentiment[25] - The fast line was above the slow line, suggesting a bullish outlook for the CSI 300 Index[26] 3. Moving Average Sentiment Indicator - The CSI 300 Index was in a "sentiment prosperity zone" as of January 30, 2026, indicating a bullish sentiment[36] --- Quantitative Factors and Construction Methods 1. Factor Name: Cross-sectional Volatility - **Factor Construction Idea**: Measures the dispersion of returns among index constituents to assess the Alpha environment[37] - **Factor Construction Process**: - Calculate the cross-sectional volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[38] - **Factor Evaluation**: The factor effectively captures short-term Alpha opportunities but may not fully reflect long-term trends[37] 2. Factor Name: Time-series Volatility - **Factor Construction Idea**: Measures the volatility of index constituents over time to assess the Alpha environment[38] - **Factor Construction Process**: - Calculate the time-series volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[41] - **Factor Evaluation**: The factor provides insights into market stability but may be less effective in highly volatile markets[38] --- Factor Backtesting Results 1. Cross-sectional Volatility - CSI 300: Recent quarter average volatility at 2.14%, in the 69.55th percentile of the past two years[38] - CSI 500: Recent quarter average volatility at 2.45%, in the 50.79th percentile of the past two years[38] - CSI 1000: Recent quarter average volatility at 2.61%, in the 66.93rd percentile of the past two years[38] 2. Time-series Volatility - CSI 300: Recent quarter average volatility at 0.96%, in the 57.20th percentile of the past two years[41] - CSI 500: Recent quarter average volatility at 1.22%, in the 50.79th percentile of the past two years[41] - CSI 1000: Recent quarter average volatility at 1.17%, in the 64.94th percentile of the past two years[41]

- The report discusses a **quantitative timing model based on volume signals**, which indicates a "bullish" view for all major indices except the ChiNext Index as of January 23, 2026[30][31][33] - A **momentum sentiment indicator** is introduced, calculated as the proportion of stocks in the CSI 300 Index with positive returns over the past N days. The indicator is smoothed using two moving averages (N1=50, N2=35). When the short-term average exceeds the long-term average, it signals a bullish market sentiment[32][34][36] - The **moving average sentiment indicator** is based on the eight moving averages (8, 13, 21, 34, 55, 89, 144, 233). The indicator assigns values of -1, 0, or 1 based on the position of the current price relative to these moving averages. A value greater than 5 indicates a bullish signal for the CSI 300 Index[40][44] - The **cross-sectional volatility factor** is analyzed, showing that the CSI 300 Index's cross-sectional volatility increased week-over-week, indicating an improved short-term alpha environment. Conversely, the cross-sectional volatility for the CSI 500 and CSI 1000 indices decreased, suggesting a deteriorated alpha environment[45][46] - The **time-series volatility factor** is also evaluated, revealing that the time-series volatility for the CSI 300, CSI 500, and CSI 1000 indices decreased week-over-week, indicating a worsening alpha environment. Over the past quarter, the CSI 300 Index's volatility was in the lower range of the past six months, while the CSI 500 and CSI 1000 indices were in the middle range[46][49]

2026 年 1 月 18 日 总量研究 市场或转为震荡上行 ——金融工程市场跟踪周报 20260118 要点 本周市场核心观点： 本周（2026.01.12-2026.01.16，下同）市场涨跌分化，成长风格指数震荡收涨， 红利风格指数表现垫后。1 月 14 日中午，经证监会批准，沪深北交易所发布通 知调整融资保证金比例，当日下午市场表现急转直下，指数出现回调。 市场情绪方面，当前主要宽基指数量能仍处高景气区间，量能观点仍积极；主要 宽基指数及宽基指数 ETF 成交量 PCR 震荡回升，衍生品投资者交易情绪小幅降 温。后市或从趋势性上行转向震荡上行，中长线持续看好"红利+科技"配置主 线，短线科技或仍占优。 本周市场各指数涨跌不一，上证综指下跌 0.45%，上证 50 下跌 1.74%，沪深 300 下跌 0.57%，中证 500 上涨 2.18%，中证 1000 上涨 1.27%，创业板指上 涨 1.00%，北证 50 指数上涨 1.58%。 截至 2026 年 1 月 16 日，宽基指数来看，中证 500、中证 1000、创业板指处于 估值分位数"适中"等级，上证指数、上证 50、沪深 300 处于估值 ...

- The report discusses a volume-timing model that has issued buy signals for major broad-based indices, indicating a positive market sentiment[1][2][22] - The volume-timing model is constructed by analyzing the volume indicators of major broad-based indices and their ETFs, which have shown an increase in trading volume, suggesting a bullish market outlook[1][2][22] - The specific construction process of the volume-timing model involves tracking the trading volume of major indices and ETFs, and when the volume increases significantly, the model issues a buy signal[1][2][22] - The evaluation of the volume-timing model indicates that it is effective in capturing market sentiment and providing timely buy signals[1][2][22] - The report also introduces a sentiment indicator based on the proportion of rising stocks within the CSI 300 index, which helps gauge market sentiment by tracking the number of stocks with positive returns over a specified period[23][24] - The construction process of this sentiment indicator involves calculating the proportion of CSI 300 index constituent stocks with positive returns over a given period, and using this proportion to assess market sentiment[23][24] - The evaluation of this sentiment indicator suggests that it is useful for quickly capturing market upturns, although it may miss out on gains during prolonged bullish phases and has limitations in predicting market downturns[23][24] - Another sentiment indicator discussed in the report is the moving average sentiment indicator, which uses the eight moving averages of the CSI 300 index to determine market trends[30][31] - The construction process of the moving average sentiment indicator involves calculating the eight moving averages (8, 13, 21, 34, 55, 89, 144, 233) of the CSI 300 index closing prices, and assigning values based on the number of moving averages the current price exceeds[30][31] - The evaluation of the moving average sentiment indicator indicates that it provides a clearer understanding of the market trends and is effective in identifying bullish phases[30][31] - The report includes backtesting results for the volume-timing model, showing that the model has consistently issued buy signals for major indices such as the Shanghai Composite Index, SSE 50, CSI 300, CSI 500, CSI 1000, and the ChiNext Index[23] - The sentiment indicator based on the proportion of rising stocks within the CSI 300 index has shown that the proportion of rising stocks is around 74%, indicating a positive market sentiment[24] - The moving average sentiment indicator shows that the CSI 300 index is currently in a bullish phase, as the short-term moving average is above the long-term moving average[30][31]

Market Overview - A-shares continued to experience fluctuations with major indices showing recovery in volume, supported by a significant increase in weekly financing, which rose substantially compared to the previous period[2] - Stock ETFs saw a net inflow of 363.41 billion yuan, indicating positive market sentiment following the Central Economic Work Conference held in December[2] - By December 31, the major broad-based indices showed a cautious outlook, with only the CSI 500 maintaining a bullish signal, while other indices shifted to a more cautious stance[2] Fixed Income Insights - In the period from December 29 to December 31, 2025, a total of 76 credit bonds were issued, amounting to 769.14 billion yuan, reflecting an 82.02% decrease from the previous week[33] - The secondary market for publicly listed REITs experienced a decline, with returns ranking from high to low as follows: pure bonds > A-shares > convertible bonds > REITs > US stocks > crude oil > gold[31] Industry Highlights - Lithium prices reached approximately 112,000 yuan per ton, with recommendations to focus on companies with cost advantages and resource expansion potential, such as Tianqi Lithium and Ganfeng Lithium[7] - The copper smelting capacity in China may face restrictions due to regulatory measures, while the demand for copper remains under pressure despite a tight supply outlook for 2026[7] Consumer and Economic Policies - The first batch of "old-for-new" subsidy funds for 2026 is expected to be lower than the previous year, with an estimated total scale of 250 billion yuan, potentially boosting retail sales growth by 1.2 percentage points[13] - The PMI returned to the expansion zone in December, supported by effective incremental policies and a favorable export environment, indicating a positive economic outlook for the end of the year[15]

Group 1: Market Overview - The industrial bond market has seen a total issuance of 7,440 bonds, amounting to 8.60 trillion yuan, covering 29 primary industries, with 16 industries exceeding 100 billion yuan in issuance for the year, notably including public utilities, non-bank financials, and transportation [1] - The A-share market has continued to experience a volatile upward trend, with significant increases in weekly financing and a net inflow of 36.34 billion yuan into stock ETFs, indicating a positive funding environment [2] Group 2: Real Estate Sector - As of December 28, 2025, new home transactions in 20 cities totaled 774,000 units, reflecting a decrease of 16.5%, with notable declines in Beijing (21%), Shanghai (5%), and Shenzhen (38%) [3] - The secondary housing market in 10 cities recorded 756,000 transactions, a slight decrease of 0.7%, with Beijing showing a minor decline of 1% and Shanghai experiencing a 6% increase [3] Group 3: Pharmaceutical Industry - The oral semaglutide for weight loss received FDA approval, with significant clinical data from related companies indicating a shift from research validation to commercial confirmation, suggesting investment opportunities in leading firms like Goliath Pharmaceuticals and Hengrui Medicine [4] Group 4: Metals and Materials Sector - Lithium prices have reached approximately 112,000 yuan per ton, with recommendations to focus on companies with cost advantages and resource expansion potential, such as Salt Lake Co. and Tianqi Lithium [5] - Cobalt prices have increased across multiple varieties, with a recommendation to monitor Huayou Cobalt [5] - Prices for praseodymium and neodymium oxides are at a 19-month high, indicating potential investment opportunities in companies like Northern Rare Earth and Shenghe Resources [5]