- The report tracks the performance of various stock market indices, including A-shares, Hong Kong stocks, and US stocks, highlighting their weekly, monthly, and year-to-date performance[1][16][17] - The report provides a detailed analysis of the performance of different stock market styles, such as growth vs. dividend, small-cap vs. large-cap, and micro-cap vs. CSI 800, including their relative crowding and excess net value[2][60][71] - The report includes a comprehensive analysis of the valuation and equity-bond cost-effectiveness of A-shares, with specific focus on PE_TTM and ERP metrics for various indices and sectors[3][41][49][51] - The report tracks the performance and crowding of different investment styles, such as momentum vs. reversal, and their relative excess returns[2][60][71] - The report provides insights into the impact of US bond yields on the performance of different stock market styles, such as large-cap vs. small-cap and growth vs. dividend[3][82][84] - The report includes a detailed analysis of the main fund indices, including their absolute and relative returns, and tracks the scale of public funds and their impact on the market[3][88][90][94] - The report provides a comprehensive overview of the commodity market, including the performance of various commodity indices in China and the US[3][123][125]

Group 1 - The market showed volatility with nearly 3,300 stocks rising, and small-cap stocks continued their upward trend. The CSI 2000 index rose by 0.9%, the ChiNext Mid 200 index by 0.7%, the CSI 1000 index by 0.6%, the Sci-Tech 100 index by 0.4%, and the CSI 500 index by 0.3% [1] - The CSI 2000 index serves as a core benchmark for small and micro-cap growth stocks in the A-share market, focusing on high-quality small and medium-sized enterprises at the tail end of the market capitalization spectrum. It is an investment tool for identifying "small but beautiful" targets and investing in niche champions within specific sectors [1] - The CSI 2000 index is characterized by its "specialized, refined, distinctive, and innovative" attributes, playing a crucial role in promoting manufacturing upgrades and nurturing new productive forces [1] Group 2 - The CSI 2000 index's rolling price-to-earnings (P/E) ratio is reported at 45.8 times, reflecting its valuation since inception [3] - The index has shown a rise of 0.9% at midday, with a rolling P/E ratio of 153.6 times reported for 2023 [4] - The index comprises 200 stocks from the mid-cap segment of the ChiNext market, representing the overall performance of mid-cap companies, with over 40% of its composition from the information technology sector. The midday increase was 0.7%, with a rolling P/E ratio of 103.8 times for 2023 [6]

Group 1 - The market sentiment score has slightly decreased to 1.1 as of December 21, down from 1.35 the previous week, indicating a neutral outlook despite a recent rebound on Friday [1][6] - The overall sentiment index has shown significant improvement this week, with signs of a rebound in market trading activity [1][6] - The price-volume consistency indicator has improved, suggesting a better correlation between capital attention and stock price increases, although the risk appetite remains insufficient as indicated by the declining proportion of the STAR 50 index's trading volume [1][9] Group 2 - The total trading volume for the entire A-share market decreased by 9.86% week-on-week, with an average daily trading volume of 17,604.84 billion yuan, reflecting a decline in market activity compared to the previous week [1][12] - The short-term scores for industries such as beauty care, pharmaceuticals, non-bank financials, agriculture, and retail have shown upward trends, with the communication sector having the highest short-term score of 79.66 [1][33] - The correlation between trading congestion and weekly price changes is strong, with high congestion sectors like retail and light manufacturing leading in gains, while sectors with lower congestion such as power equipment and computers lag behind [1][38] Group 3 - The current model indicates a preference for small-cap and growth styles, with the 5-day RSI showing a decline relative to the 20-day RSI, suggesting potential weakening of signals [1][42] - The financing balance ratio continues to rise, reaching a new high for the phase, indicating increased risk appetite and active capital utilization in the market [1][22] - The main capital inflow has broken through the fluctuation range, reflecting a stronger willingness of institutional funds to enter the market, which supports a bullish momentum [1][28]

2024年"924"行情开始，A股市场小盘风格显著跑赢大盘风格，从区间表现来看，2024年9月20日至今，中证1000成长ETF(562520)累计上涨69.27%，同期 跑赢沪深300指数26个百分点，同时也跑赢中证1000指数6个百分点。 | 2024/09/20-2025/12/05 (293日) | | | | | × | | --- | --- | --- | --- | --- | --- | | 名称 | 涨跌幅 | 涨跌 | 振幅 | 年化收益率 | 最大回撤 | | 000300(沪深300) | 42.86% | 1369.76 | 49.71% | 35.57% | -21.04% | | 562520(中证1000成 | 69.27% | 0.514 | 93.80% | 56.69% | -21.17% | | 000852(中证1000) | 62.79% | 2814.30 | 72.35% | 51.55% | -21.34% | 从历史表现来看中证1000成长所跟踪的指数已经连续20年跑赢中证1000指数。进攻、回撤均有不俗表现。 | 年份 | 中证1000成长指数 | 中证 ...

Group 1 - The core viewpoint indicates that the current recovery signals in the fundamentals are still under observation, while market sentiment is showing signs of low-level recovery [1] - The ChiNext Mid-cap 200 Index, which reflects the overall performance of representative mid-cap companies in the ChiNext market, has a significant proportion of over 40% in the information technology sector [7] - Short-term style trends suggest that small-cap styles are expected to outperform in December, with a continued trend favoring growth styles [1] Group 2 - The CSI 500 Index closed down by 0.6%, while the CSI 1000 Index and the Sci-Tech Innovation 100 Index both fell by 0.9%, and the CSI 2000 Index decreased by 1.0% [1] - The rolling price-to-earnings ratio for the CSI 500 Index is 32.0 times, while the CSI 1000 Index has a rolling P/E ratio of 46.3 times [2][3] - The rolling P/E ratio for the CSI 2000 Index is not specified, but the ChiNext Mid-cap 200 Index has a rolling P/E ratio of 107.6 times [4][7]

权 益 量 化 研 究 2025 年 11 月 30 日 价量匹配改善，情绪指标维持震荡 ——量化择时周报 20251130 相关研究 证券分析师 沈思逸 A0230521070001 shensy@swsresearch.com 邓虎 A0230520070003 denghu@swsresearch.com 联系人 沈思逸 A0230521070001 shensy@swsresearch.com | 1．情绪模型观点：市场情绪得分周内继续回落 4 | | --- | | 1.1 从分项指标出发：价量匹配改善、主力资金回流，情绪指标维持震 | | 荡、分化 5 | | 2．其他择时模型观点：美容护理短期得分快速提升，价值风 | | 格与小盘风格占优 10 | | 2.1 美容护理行业短期得分快速提升，价值风格与小盘风格占优 10 | | 3．风险提示 14 | 请务必仔细阅读正文之后的各项信息披露与声明 第2页 共15页 简单金融 成就梦想 证 券 研 究 报 告 请务必仔细阅读正文之后的各项信息披露与声明 本研究报告仅通过邮件提供给 中庚基金 使用。1 量 化 策 略 - ⚫ 市场情绪得分周内继续回落： ...

Group 1 - The market sentiment score decreased slightly to 3.8 as of November 21, down from 3.9 the previous week, indicating a bearish outlook from a sentiment perspective [6][10][11] - The overall trading activity in the market has declined, with total trading volume for the week down 8.74% compared to the previous week, averaging 18650.36 billion CNY per day [13][15] - The short-term trend scores for industries such as banking, textiles, defense, and petrochemicals have shown an upward trend, with petrochemicals having the highest short-term score of 83.05 [35][36] Group 2 - The price-volume consistency indicator has rapidly declined, suggesting a decrease in the correlation between capital attention and stock price increases, leading to a drop in market sentiment [10][11][12] - The industry trading volatility has continued to rise, indicating increased activity in capital switching between sectors, although the growth rate has slowed down [19][21] - The financing balance ratio has continued to rise, reflecting an increase in leveraged capital sentiment, suggesting a more active investment environment [25][27] Group 3 - The model indicates a preference for small-cap and value styles, with strong signals for both, although the 5-day RSI relative to the 20-day RSI has decreased rapidly, warranting further observation [35][44] - The industry crowding degree shows a negative correlation with weekly price changes, indicating that sectors with high crowding, such as electric power equipment and basic chemicals, have experienced significant declines [39][41] - The report highlights that industries with lower crowding, such as automobiles and machinery, have shown smaller declines, suggesting potential long-term investment value [39][41]

Core Viewpoint - The article highlights the resurgence of small-cap stocks and micro-cap indices, driven by increased liquidity, favorable policies, and a shift in market focus towards high-value assets, particularly in sectors like AI and advanced manufacturing [2][12]. Group 1: Market Performance - In the past month, small-cap and micro-cap indices, such as the CSI 2000 and Wind Micro-Cap Index, have shown strong upward trends, becoming a prominent style direction in the market [2]. - The trading structure of the market is changing, with increased turnover rates and transaction proportions for micro-cap and small-cap stocks, indicating a shift of funds towards high-value assets [2]. Group 2: Quantitative Strategy Performance - Quantitative index-enhanced funds have shown significant recovery, with the CSI 1000 Index Enhanced Strategy Index rising by 6.56% and the CSI 500 Index Enhanced Strategy Index increasing by 6.3% in the past month [6]. - The effectiveness of quantitative stock selection factors has improved, with a notable recovery in excess returns as market conditions favor the return of style and fundamental factors [6][7]. Group 3: Characteristics of Recovery - The recovery in excess returns is broad-based, benefiting from the easing of previous constraints such as style reversals and liquidity segmentation [7]. - The sustainability of excess recovery has strengthened, with increased trading activity and volatility allowing for better differentiation among stocks [7]. - Leading institutions have demonstrated renewed flexibility in excess return capabilities, enhancing their models and risk control structures [7]. Group 4: Investment Insights - Investors are advised to seize opportunities presented by the strengthening small-cap style, particularly in micro-cap indices reaching new highs [12]. - Emphasis should be placed on the capabilities of models rather than short-term rankings, focusing on teams with rapid model iteration and mature risk control [12]. - Caution is recommended against products with high crowding, large scale, or rapid position changes, as the essence of index-enhanced strategies is to pursue low volatility and stable excess returns [12].

Group 1 - The report from CICC highlights the existence of calendar effects in the market, influenced by the rhythm of earnings disclosures, dividend events, and seasonal changes in institutional investors' risk preferences [1][3] - Small-cap style shows significant volatility in the first half of the year, with overall improvement in the second half; the small-cap style underperformed in April, with the CSI 2000 index excess returns of -2.3% and -2.2% [1][2] - Growth style exhibits a "high first, low last" characteristic, with significant excess returns in January and June-July, achieving a win rate of 90.9% [1][2] Group 2 - Quality style demonstrates a "strong at both ends" pattern, with January (excess return of 1.4%, win rate of 81.8%) and December (excess return of 0.5%, win rate of 80%) being the strongest months for quality style [2] - Dividend style performs well in April and August, with win rates of 83.3%, while June and October show significantly lower excess win rates [2][3] - The internal mechanisms of calendar effects are linked to the timing of earnings disclosures and dividend announcements, which influence investor focus and fund flows towards stocks with better fundamentals [3]

Group 1: Market Sentiment Model Insights - The market sentiment score has rapidly increased to 3.9 as of November 14, up from 3 the previous week, indicating a further recovery in market sentiment and a bullish outlook [2][8] - The price-volume consistency indicator has stabilized and rebounded, showing a phase of sentiment recovery after a previous decline, with increased trading activity and a positive correlation between price elasticity and attention to stocks [11][12] - The overall trading volume for the entire A-share market increased by 1.56% week-on-week, with an average daily trading volume of 20,438.27 billion yuan, indicating sustained market activity [15] Group 2: Industry Trends and Performance - The short-term trend scores for industries such as beauty care, pharmaceuticals, banking, food and beverage, and textiles have shown upward momentum, with steel, electric equipment, construction decoration, environmental protection, and coal being the strongest short-term performers [40][41] - The industry trend consistency has significantly improved, breaking through the upper Bollinger Band, indicating a stronger consensus on industry outlooks and enhancing the beta effect of sector indices [25][28] - The financing balance ratio continues to rise, reflecting an increase in market leverage sentiment and a more active trading atmosphere in the financing market [29][31] Group 3: Industry Crowding and Investment Opportunities - The correlation coefficient between industry crowding and weekly price changes is 0.60, indicating a significant positive relationship, with high crowding in sectors like basic chemicals, agriculture, and forestry, which have seen high price increases [44][46] - Sectors with high crowding but low price increases, such as electric equipment and environmental protection, may have potential for catch-up gains if fundamental catalysts arise [44] - Low crowding sectors like communication, electronics, and computers, which have seen lower price increases, present opportunities for gradual long-term investment as risk appetite improves [44][46]