其 他 报 告 2025年07月01日 晨会纪要 | 国内市场 | | 涨跌幅（%） | | | --- | --- | --- | --- | | 指数 | 收盘 | 1日 | 上周 | | 上证综合指数 | 3444 | 0.59 | 1.91 | | 深证成份指数 | 10465 | 0.83 | 3.73 | | 沪深300指数 | 3936 | 0.37 | 1.95 | | 创业板指数 | 2153 | 1.35 | 5.69 | | 上证国债指数 | 226 | 0.04 | 0.02 | | 上证基金指数 | 6939 | 0.11 | 0.37 | 资料来源:同花顺iFinD | 海外市场 | | 涨跌幅（%） | | | --- | --- | --- | --- | | 指数 | 收盘 | 1日 | 上周 | | 中国香港恒生指数 | 24072 | -0.87 | 3.20 | | 中国香港国企指数 | 8678 | -0.96 | 2.76 | | 中国台湾加权指数 | 22256 | -1.44 | 2.42 | | 道琼斯指数 | 43819 | 1.00 | 3.82 | | ...

Core Viewpoint - The small-cap style has outperformed large and mid-cap styles in the A-share market year-to-date, with expectations for continued superiority despite potential volatility in the second half of the year [1][6]. Group 1: Analysis Framework - The analysis framework for judging A-share style rotation includes major signals such as macroeconomic direction, industrial upgrade trends, and market sentiment, with small-cap stocks favored during innovation-driven phases [2][3]. - Auxiliary signals include capital market construction direction, investor structure, valuation levels, and liquidity, which can influence the rotation between small and large-cap stocks [3][4]. Group 2: Recent Performance and Factors - Since late September, a series of policies aimed at stabilizing growth have emerged, contributing to the relative strength of small-cap stocks, particularly in sectors like AI and technology [5][6]. - The investor structure has shifted, with increased activity from individual investors, as evidenced by a rise in financing balances from approximately 1.3 trillion yuan to around 1.8 trillion yuan [5]. Group 3: Future Outlook - The small-cap style is expected to face increased volatility in the second half of the year but is likely to continue outperforming large-cap stocks due to favorable macroeconomic conditions and ongoing industrial trends [6]. - Current valuation and trading metrics indicate that small-cap stocks have not yet reached extreme levels, suggesting room for further performance [6].

- The report tracks multiple quantitative factors across different markets, including equity market factors, commodity market factors, options market factors, and convertible bond market factors[7] Quantitative Factors and Construction Equity Market Factors - **Factor Name**: Market Style Factors - **Construction Idea**: Tracks the dominance of large-cap vs. small-cap and value vs. growth styles in the market[11][13] - **Construction Process**: - Large-cap vs. small-cap style: Evaluates the relative performance of large-cap stocks compared to small-cap stocks - Value vs. growth style: Assesses the relative performance of value-oriented stocks compared to growth-oriented stocks - Volatility metrics: Tracks the fluctuation in style dominance over time[11][13] - **Evaluation**: The market style is currently skewed towards large-cap and value stocks, with reduced volatility in style dominance[13] - **Factor Name**: Market Structure Factors - **Construction Idea**: Measures the dispersion and rotation within industry indices and stock concentration in trading[11][13] - **Construction Process**: - Industry index excess return dispersion: Tracks the spread of returns across different industry indices - Industry rotation speed: Measures the rate at which industries gain or lose prominence - Stock concentration: Evaluates the trading concentration of the top 100 stocks and the top 5 industries[11][13] - **Evaluation**: Industry return dispersion is at a one-year low, while industry rotation speed has increased. Stock concentration remains stable at low levels[13] - **Factor Name**: Market Activity Factors - **Construction Idea**: Tracks overall market volatility and turnover rates[12][13] - **Construction Process**: - Index volatility: Measures the fluctuation in market indices - Index turnover rate: Tracks the frequency of stock trading within indices[12][13] - **Evaluation**: Market volatility is at a one-year low, while turnover rates have slightly increased[13] Commodity Market Factors - **Factor Name**: Commodity Futures Factors - **Construction Idea**: Tracks trends, volatility, and liquidity across commodity sectors[28][31] - **Construction Process**: - Trend strength: Measures the directional movement in sectors like black metals, precious metals, and agricultural products - Volatility: Tracks the fluctuation in commodity prices - Liquidity: Assesses the ease of trading in different commodity sectors - Basis momentum: Evaluates the change in the basis (difference between spot and futures prices) for sectors like precious metals and non-ferrous metals[28][31] - **Evaluation**: Precious metals and non-ferrous metals show declining basis momentum, while agricultural products exhibit stronger trends. Liquidity in the energy sector is at a one-year high[31] Options Market Factors - **Factor Name**: Implied Volatility and Skewness - **Construction Idea**: Tracks implied volatility levels and skewness in options markets[36] - **Construction Process**: - Implied volatility: Measures the market's expectation of future volatility for indices like SSE 50 and CSI 1000 - Skewness: Evaluates the asymmetry in the distribution of returns, particularly for put options[36] - **Evaluation**: CSI 1000 implied volatility remains at historically low levels, and skewness for put options has increased, indicating reduced concerns over small-cap risks[36] Convertible Bond Market Factors - **Factor Name**: Convertible Bond Valuation Factors - **Construction Idea**: Tracks valuation metrics and trading activity in the convertible bond market[38] - **Construction Process**: - Premium rate: Measures the difference between the bond price and its conversion value - Trading activity: Tracks the turnover and liquidity in the convertible bond market - Credit spread: Evaluates the difference in yields between convertible bonds and risk-free bonds[38] - **Evaluation**: Premium rates have risen to near-May peaks, while low-premium bonds have decreased in proportion. Credit spreads have slightly narrowed[38] Backtesting Results Equity Market Factors - **Market Style Factors**: - Large-cap dominance observed - Value style outperformed growth style - Style volatility reduced to a one-year low[13] - **Market Structure Factors**: - Industry return dispersion at a one-year low - Increased industry rotation speed - Stable stock concentration at low levels[13] - **Market Activity Factors**: - Volatility at a one-year low - Slight increase in turnover rates[13] Commodity Market Factors - **Commodity Futures Factors**: - Decline in trend strength for black and precious metals - Increase in agricultural product trends - Energy sector liquidity at a one-year high - Decline in basis momentum for precious and non-ferrous metals[31] Options Market Factors - **Implied Volatility and Skewness**: - CSI 1000 implied volatility at historical lows - Increased skewness for put options, indicating reduced small-cap risk concerns[36] Convertible Bond Market Factors - **Convertible Bond Valuation Factors**: - Premium rates near May peaks - Decrease in low-premium bonds - Slight narrowing of credit spreads[38]

分析师：柏逸凡 登记编号：S0890524100001 分析师：程秉哲 登记编号：S0890522110001 投资要点 本报告统计时间为2025.06.16-2025.06.20。 先调整才能见彩虹，防守待反击。A股短期内缺乏催化，市场波动压力有所增加。在中央汇金托底 的背景下，大盘权重风格下行空间相对有限，建议短期可关注银行、红利低波等防守方向。新消 费、创新药等题材以及小微盘方向短期调整风险偏高，投资者可适度等待，在风险释放之后，将 迎来更具性价比的布局机会。从成交占比来看，科技方向4月以来持续回落，当前风险相对较低， 在高弹性方向上的短期性价比更优。 权益市场， 上周，市场风格方面，大盘价值风格仍占优势；市场风格波动方面，大小盘风格波动 下降，价值成长风格波动保持在近一年低位。市场结构方面，上周，行业指数超额收益离散度保 持在近一年低位，成分股上涨比例有所下降，行业轮动速度上升；交易集中度方面，前100个股成 交集中度以及前5行业成交额占比均维持在近一年较低水平。市场活跃度方面，上周，市场波动率 保持在近一年低位，市场换手率略有上升。 商品市场方面， 上周，黑色、贵金属板块趋势强度下降，农产品板块趋势 ...

1.1 从分项指标出发：价量匹配度降低，市场情绪继续下行 本周各项情绪指标分数较上周有一定边际下行。价量一致性（匹配度）降低代表当前资金活跃度欠缺，资金观点分歧加剧、短期情绪不确 定性增强；行业涨跌趋势指标继续提示行业涨跌趋势较弱，指标位置虽略有提升但与本周行业普跌，少数上涨有关，因此我们不认为趋势 方面有显著改善。另外PCR结合VIX指标继续波动，科创50成交占比持续低迷。综合各项指标，模型得出市场情绪进一步下行。 1．情绪模型观点：市场情绪得分进一步下降 根据《从结构化视角全新打造市场情绪择时模型》文中提到的构建思路，目前我们用于构建市场情绪结构指标所用到的细分指标如下表。 在指标合成方法上，模型采用打分的方式，根据每个分项指标所提示的情绪方向和所处布林轨道位置计算各指标分数，指标分数可分为 （-1，0，1）三种情况，最终对各个指标分数等权求和。最终的情绪结构指标为求和后分数的20日均线，如图1所示，指标整体围绕0轴 在[-6,6]的范围内上下波动，近5年A股市场情绪波动较大，其中2023年大部分时间指标都处于较低位置，直至2024年10月市场情绪得分突 破2。 截至6月20日，市场情绪指标数值为0.05 ...

核心观点 地缘政治风险超预期或催化市场短期调整，但调整空间或有限，小盘风格拥挤风险已 得到部分释放，外生冲击有望使得底部加速出现。7 月或仍是流动性溢出行情，建议 重点关注 TMT 板块。 ❑ A 股回调量级怎么看？ 海外地缘风险不改国内震荡格局，配置时机加速到来。最近一周，受伊以冲突影 响，权益资产风险偏好暂时性回落，场外资金入场节奏有所放缓，市场 6 月 20 日显著缩量至 1.09 万亿。不过，目前市场对地缘政治风险的定价较为温和， Wind 全 A 于 6 月 16-20 日期间小幅下跌 1.07%，WTI 原油全周上涨 1.45%，而 作为典型避险资产的伦敦金同期甚至下跌 1.91%，大类资产的价格走势表明，市 场过去一段时间正在定价伊以冲突的边际缓和。然而，当地时间 6 月 21 日，美 国总统特朗普表示，美国直接袭击了伊朗的三处核设施，地缘政治风险进一步升 温，而市场对此可能尚未充分计价。因此，外生冲击下，全球风险偏好存在进一 步回落的可能，A 股未来一周可能延续调整格局。不过，伊以冲突对 A 股基本 面并不会产生直接冲击，且向下存在托底资金预期，我们预计 A 股整体的回调 空间不大，这一外部冲 ...

6 月中旬：边际乐观，逢低建仓 ——主动量化周报 核心观点 期指贴水、成交缩量等维度皆指向市场悲观预期足够充分，无论从历史胜率还是定价 逻辑，当下都是一个建仓较好的时点。未来增量资金大头更看好游资、个人回流，小 盘有望更强。 ❑ 为什么 6 月中旬可以更乐观一些？ 外围风险压制松动，风险偏好中枢上移。从 3 月中旬开始，A 股进入缩量阶段， 全 A 成交额由 2 月 21 日的 2.23 万亿缩至 6 月 6 日的 1.18 万亿。历史上，当多 空筹码结构严重失衡，大多数人偏悲观的时候，是一个较好的建仓时点。从 2017 年以来的统计结果来看，以中证 500 股指期货次月合约为例，若在年化贴 水超过 15%时买入中证 500 指数，虽然初期仍将有所震荡，但持有超过 12 个交 易日后，平均累计收益就将震荡走高，而持有超过 33 个交易日后，累计收益为 正的胜率就将持续高于 50%，持有超过 50 个交易日后的胜率则基本能达到 60% 以上。本轮周期中，期货贴水于 4 月 7 日首次超过 15%，距今已有 41 个交易 日，历史经验表明，未来市场或有望进一步走高。从本次贴水逻辑来看，美债信 用裂痕、美国财政资金 ...

基建方回周度预测 2025/5/23 本周预测结论 IC I H IF I M 下周预测万问 代表预测基差下周走强, 注: 代表预测基差下周走弱。 本周回顾 本公司具有中国证监会核准的期货交易咨询业务资格。本内容的观点和信息仅供国泰君安期货的专业投资者参考。本内容难以设 置访问权限，若给您造成不便,敬请谅解。若您并非国泰君安期货客户中的专业投资者,请勿阅读、订阅或获收任何相关信息。 本内容不构成具体业务的推介,亦不应被视为任何投资、法律、会计或税务建议,且本公司不会因接收人收到本内容而视其为客 户。本内容的信息来源于公开资料,本公司对这些信息的准确性、完整性及未来变更的可能性不作任何保证。请您根据自身的风 险承受能力作出投资决定并自主承担投资风险,不应凭借本内容进行具体操作,本公司不对因使用本内容而造成的损失承担任何 责任。除非另有说明,本公司拥有本内容的版权和/或其他相关知识产权。未经本公司事先书面许可，任何单位或个人不得以任 何方式复制、转载、引用、刊登、发表、发行、修改、翻译此报告的全部或部分内容。 0. 50% 0. 50% 0. 25% 0. 25% 5月LPR报价下调10bp,国内银行纷纷下调存款 ...

- The report focuses on the performance of Smart Beta portfolios, specifically Value, Growth, and Small-cap styles, constructed based on high beta elasticity and long-term stable excess returns objectives[7][8][10] - Value Smart Beta portfolios include "Value 50 Portfolio" and "Value Balanced 50 Portfolio", with weekly returns of 1.13% and 0.32%, respectively, and annual returns of 5.80% and 1.55%[4][8][10] - Growth Smart Beta portfolios include "Growth 50 Portfolio" and "Growth Balanced 50 Portfolio", with weekly returns of 1.27% and 1.59%, respectively, and annual returns of 0.86% and 6.05%[4][8][16] - Small-cap Smart Beta portfolios include "Small-cap 50 Portfolio" and "Small-cap Balanced 50 Portfolio", with weekly returns of 1.39% and 1.49%, respectively, and annual returns of 8.87% and 10.70%[4][8][22] - Performance metrics for Smart Beta portfolios include absolute returns, excess returns relative to benchmarks, and maximum relative drawdowns, with detailed data provided for each portfolio[8][10][22]

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A股收涨 本周A股收涨。本周A股主要宽基指数大多收涨，创业板指、上证50、沪深300等指数涨幅靠前，科创50和 中证500小幅下跌。从市场风格来看，本周大部分风格指数收涨，大盘成长、大盘价值涨幅居前，而小盘 成长则小幅下跌。分行业来看，申万一级行业走势分化，美容护理、非银金融、汽车等行业涨幅靠前，计 算机、国防军工、传媒等行业跌幅靠前。 大小盘风格分化或将收敛 4月上旬以来，大小盘风格分化，小微盘宽基指数市场表现显著优于大中盘宽基指数。4月8日至5月16日， 上证50、沪深300、中证500等大中盘宽基指数涨幅低于中证1000、中证2000以及万得微盘股指数等小微盘 宽基指数。从个股的情况来看，市值偏小的个股组合4月8日至 ...