行业资金流向方面，今日有8个行业主力资金净流入，银行行业主力资金净流入规模居首，该行业今日 上涨1.52%，全天净流入资金7.22亿元，其次是交通运输行业，日涨幅为0.72%，净流入资金为6.03亿 元。 主力资金净流出的行业有23个，国防军工行业主力资金净流出规模居首，今日下跌3.07%，全天净流出 资金86.44亿元，其次是电子行业，今日跌幅为0.64%，净流出资金为61.34亿元，净流出资金较多的还 有计算机、机械设备、汽车等行业。 今日各行业资金流向 | 行业 | 日涨跌幅（%） | 资金流向（亿元） | 行业 | 日涨跌幅（%） | 资金流向（亿元） | | --- | --- | --- | --- | --- | --- | | 银行 | 1.52 | 7.22 | 房地产 | -0.28 | -4.93 | | 交通运输 | 0.72 | 6.03 | 家用电器 | 0.03 | -5.52 | | 美容护理 | 1.18 | 5.04 | 农林牧渔 | 0.07 | -5.90 | | 医药生物 | 0.90 | 2.64 | 食品饮料 | -0.38 | -6.10 | | 煤炭 | 0. ...

Group 1 - Trump's visit to the Middle East focuses on selling military weapons and potentially easing AI chip restrictions, which could impact the domestic AI chip sector and the logic of domestic substitution [1] - The market showed a cautious response despite positive developments in US-China trade negotiations, with foreign capital predicting China's Q2 GDP growth may exceed 4.5% and Q3 could also be above 4% [2][5] - The market's muted reaction is attributed to the fact that the negotiations did not fully meet expectations, as the suspension of tariffs is not equivalent to their removal, leading to a cautious sentiment among investors [5][6] Group 2 - Recent negotiations have only achieved a phase of progress, and uncertainties remain regarding future discussions, particularly with Trump's unpredictable nature [7] - Public funds are beginning to buy into heavyweight stocks due to a new action plan aimed at enhancing the performance of public funds, which has seen many funds underperforming their benchmarks in recent years [8][11] - The focus for institutional investors should be on increasing allocations to high-weight stocks like Kweichow Moutai and Ping An Insurance, while reducing positions in stocks like Luxshare Precision and Sailun Tire that are over-allocated in funds [16][17]

近期中美关税政策成为市场的一大关注点。12日，中美日内瓦经贸会谈联合声明发布，双方关税大幅下 降。 多位券商分析师认为，关税降级幅度大超市场预期，经济基本面预期和市场情绪都可能大幅改善，或助 力国内权益市场波动中枢抬升。 中美经贸会谈进展超预期，5月13日A股高开，沪指探出近期这波反弹中的新高3386.23点，最终收于 3374.87点，收涨0.17%。 当日，沪深两市获主力资金流入3808.3亿元，有7个行业获得主力资金净流入，主要为美容护理、医药 生物、基础化工、交通运输、社会服务、纺织服饰、公用事业等行业，而国防军工、计算机、电子、机 械设备、汽车、电力设备等行业遭主力资金卖出较多。这与12日主力资金净流入和净流出的行业有所相 反。类似的情况在近期反复出现。 就A股后市走势来看，上述券商分析师认为，短期A股延续震荡偏强走势，可能突破上行；在中期维度 上，指数级别走势依然依赖于基本面改善。 主力资金净流入7个行业 5月13日，A股市场成交1.326万亿元。其中，电子、机械设备、计算机、电力设备行业成交额超过千亿 元，国防军工、汽车、基础化工、医药生物、通信等行业的成交额在500亿～1000亿元之间。相较而 ...

| 行业名 | 成交量（亿 | 成交量较昨日增减 | 换手率 | 涨跌幅 | 今日主力资金净流入（亿 | | --- | --- | --- | --- | --- | --- | | 称 | 股） | （%） | （%） | （%） | 元） | | 银行 | 38.83 | 9.74 | 0.29 | 1.52 | 7.22 | | 交通运 输 | 44.46 | 44.77 | 1.06 | 0.72 | 6.03 | | 美容护 理 | 4.57 | 28.42 | 4.15 | 1.18 | 5.04 | | 医药生 | 49.01 | 11.96 | 1.80 | 0.90 | 2.64 | | 物 煤炭 | 11.08 | 1.88 | 0.86 | 0.62 | 1.01 | | 建筑装 饰 | 35.56 | 21.05 | 1.27 | 0.60 | 0.85 | | 社会服 | | | | | | | 务 | 12.09 | 26.85 | 2.65 | 0.10 | 0.61 | | 公用事 业 | 41.51 | -6.18 | 1.05 | 0.31 | 0.47 | | 基础化 ...

央广网重庆5月13日消息（记者陈静 实习记者艾雨晗）5月13日上午，重庆市国资委举行重庆市国资国企积极融入全市知识产权强市建设暨数字应用场景发 布会，面向全社会发布第二批102个数字应用场景，计划投资额9.36亿元。同时，重庆市国资委和重庆市知识产权局签署合作协议。 发布会现场（央广网发 艾雨晗 摄） 签约仪式（央广网发 艾雨晗 摄） 发布会现场，重庆市国资委面向全社会发布第二批102个数字应用场景，计划投资额9.36亿元，包括支撑国家战略10个、服务民生保障29个、助力产业发展 63个。其具有应用场景覆盖域广、业务环节涵盖全链条、满足各方多元需求三个特点。 本次发布的102个数字应用场景，来自27家重庆市属重点国有企业，涵盖金融行业、交通运输、制造业等。记者获悉，这批应用场景中生产运营类最多，达 55个，研发设计类19个、经营管理类16个、用户服务类10个、产业协同类2个。场景技术服务的需求包括信息系统建设、人工智能应用、数字化改造、数据 平台建设等方面。 据悉，本批次102个数字应用场景的业主单位、建设内容、联系人等信息已同步在西部数据交易中心平台上发布。 部分国企数字应用场景项目还在现场完成签约。例如， ...

2025 年 05 月 13 日 投资要点 分析师：孟之绪 执业编号：S0300524080001 电话： 邮箱：mengzhixu@ykzq.com 证券研究报告 | 策略点评 投资策略研究 粤开市场日报-20250513 今日关注 指数涨跌情况：今日 A 股主要宽基指数涨少跌多。截止收盘，沪指涨 0.17%， 收报 3374.87 点；深证成指跌 0.13%，收报 10288.08 点；创业板指跌 0.12%， 收报 2062.26 点；科创 50 跌 0.15%，收报 1009.68 点。总体上全天个股涨少 跌多，Wind 数据显示，全市场 1940 只个股上涨，3233 只个股下跌，237 只个 股收平。沪深两市今日成交额合计 12915 亿元，较上个交易日缩量约 169 亿 元。 行业涨跌情况：今日申万一级行业涨多跌少，银行、美容护理、医药生物、 交通运输和煤炭行业领涨，涨幅分别为 1.52%、1.18%、0.90%、0.72%和 0.62%， 国防军工、计算机、机械设备、电子和通信行业领跌，跌幅分别为 3.07%、0.80%、 0.66%、0.64%和 0.61%。 板块涨跌情况：今日涨幅居前概念 ...

Group 1 - The A-share market experienced a volume contraction and most broad-based indices recorded declines at the close [1] - The Politburo meeting's announcement was significantly more optimistic than expected, leading to a surge in Hong Kong and FTSE A50 indices [1][2] - The meeting indicated that the GDP growth target of around 5% for 2024 is likely to be achieved, boosting market confidence [1][2] Group 2 - The meeting emphasized the implementation of more proactive macro policies to stimulate domestic demand and promote innovation, which is seen as a positive outlook for 2025 [1][2] - The focus on stabilizing the real estate and stock markets is expected to eliminate risks of significant declines, encouraging capital inflows [1][2] Group 3 - The market adjustment was primarily due to concerns over policy uncertainties ahead of important meetings, leading to some investors withdrawing funds [3] - The dividend index and large-cap indices saw gains, while the ChiNext and small-cap indices experienced larger declines [4] Group 4 - The dividend style remains supported, while growth-oriented stocks have shown a notable pullback, indicating a decrease in market risk appetite [5] - Long-term capital is expected to be a significant source of incremental funds in the market, with the dividend style likely to perform well [5] Group 5 - A sharp rise in the market is not expected to be sustainable, and investors are advised to avoid chasing high prices after significant increases [6] - The total trading volume for the day was 16,345 billion yuan, a decrease of 1,543 billion yuan from the previous trading day [9]

103只个股今日获机构买入型评级，13股机构首次关注。 证券时报·数据宝统计显示，今日机构研报共发布110条买入型评级记录，共涉及103只个股。京沪高铁 关注度最高，共获3次机构买入型评级记录。 今日获机构买入型评级个股中，共有34条评级记录中对相关个股给出了未来目标价。以公布的预测目标 价与最新收盘价进行对比显示，共有24股上涨空间超20%，中国重汽上涨空间最高，5月12日东方证券 预计公司目标价为26.82元，上涨空间达55.30%，上涨空间较高的个股还有保利发展、水星家纺等，上 涨空间分别为43.61%、40.50%。 从机构评级变动看，今日机构买入型评级记录中，有13条评级记录为机构首次关注，涉及宝通科技、博 睿数据等13只个股。 机构今日买入型评级个股 | 代码 | 简称 | 买入评级家数 | 今日涨跌幅（%） | 动态市盈率（倍） | 行业 | | --- | --- | --- | --- | --- | --- | | 601816 | 京沪高铁 | 3 | 0.17 | 24.73 | 交通运输 | | 600048 | 保利发展 | 2 | 0.61 | 12.73 | 房地产 | | 3 ...

Quantitative Models and Construction Methods 1. Model Name: Index Adjustment Prediction Model - **Model Construction Idea**: The model predicts the adjustment of constituent stocks in major indices (CSI 300 and CSI 500) based on the index compilation rules published by the China Securities Index Company[12][13][15] - **Model Construction Process**: - **Data Reference**: The model uses trading and financial data from May 1 of the previous year to April 30 of the current year for mid-year reviews, and from November 1 of the previous year to October 31 of the current year for year-end reviews[12] - **Adjustment Date**: Adjustments occur on the trading day following the second Friday of June and December each year[12] - **Sample Space**: - Excludes ST, *ST stocks, and delisted securities - Includes STAR Market and ChiNext stocks listed for over a year, or those with daily average market capitalization ranking in the top 30 since listing[12] - **Selection Method**: - For CSI 300: Securities are ranked by daily average trading volume, with the bottom 50% excluded, and then ranked by daily average market capitalization, selecting the top 300[12] - For CSI 500: Excludes CSI 300 constituents and the top 300 by market capitalization, then ranks by trading volume and market capitalization, selecting the top 500[12] - **Buffer Zone Rules**: - CSI 300: New samples ranked in the top 240 are prioritized for inclusion, while existing samples ranked in the top 360 are prioritized for retention[12] - CSI 500: New samples ranked in the top 400 are prioritized for inclusion, while existing samples ranked in the top 600 are prioritized for retention[12] 2. Model Name: Event Return Analysis Model - **Model Construction Idea**: This model analyzes the relationship between index sample adjustments and the cumulative excess returns of the adjusted stocks before and after the adjustment date[24] - **Model Construction Process**: - Collects data on all adjustment cycles since 2010 for CSI 300 and CSI 500 indices[24] - Calculates the cumulative excess returns of adjusted stocks relative to the index over a 60-day window before and after the adjustment date[24] - **Model Evaluation**: The model highlights that pre-adjustment event returns are more significant for investment strategies, as investors can trade in advance based on predictions or announcements[24] --- Model Backtesting Results 1. Index Adjustment Prediction Model - CSI 300 Index: Predicted 7 constituent stock adjustments, with additions primarily in the transportation and defense industries, and removals concentrated in the electrical equipment industry[13][14] - CSI 500 Index: Predicted 49 constituent stock adjustments, with additions mainly in the electronics, electrical equipment, and computer industries, and removals concentrated in the electrical equipment and pharmaceutical industries[15][16][23] 2. Event Return Analysis Model - **CSI 300 Index**: Stocks removed from the index showed negative excess returns before the adjustment date, while no significant conclusions were drawn for added stocks[5][24] - **CSI 500 Index**: Stocks added to the index exhibited positive excess returns before the adjustment date, while removed stocks showed negative excess returns[5][24]

Core Viewpoint - The main focus of the news is the significant net inflow of capital into various industries, particularly highlighting the strong performance of the defense and military sector amid rising geopolitical tensions and increased global military spending [2][8]. Group 1: Market Overview - The net inflow of capital in the Shanghai and Shenzhen markets today reached 13.556 billion yuan, with the ChiNext board seeing a net inflow of 6.869 billion yuan and the CSI 300 index stocks experiencing a net inflow of 6.905 billion yuan [2]. - Among the 27 industries tracked, the defense and military industry led with a rise of 4.8%, followed by the power equipment industry with a 2.69% increase, and several other sectors, including machinery and non-bank financials, also saw gains exceeding 2% [3]. Group 2: Capital Flow by Industry - A total of 19 industries experienced net capital inflows, with the power equipment sector leading at 2.998 billion yuan, followed closely by the defense and military sector with a net inflow of 2.673 billion yuan. The electronics and machinery sectors also saw inflows exceeding 2.1 billion yuan [4]. - Conversely, 12 industries faced net capital outflows, with the agriculture, forestry, animal husbandry, and fishery sector leading the decline at over 700 million yuan. Other sectors such as non-ferrous metals, retail, textiles, and transportation also reported outflows exceeding 200 million yuan [4]. Group 3: Individual Stock Performance - There were 29 stocks with net capital inflows exceeding 200 million yuan, with 12 of those stocks seeing inflows over 360 million yuan [5]. - Notable individual stock performances included Dongfang Caifu with a net inflow of 1.341 billion yuan, followed by AVIC Chengfei with 1.06 billion yuan, as the military sector stocks showed strong performance [6][7]. - Other stocks with significant inflows included Luxshare Precision, Tosida, and Xinyi Technology, with inflows of 902 million yuan, 838 million yuan, and 605 million yuan, respectively [9]. Group 4: End-of-Day Capital Movements - At the end of the trading day, six stocks had net inflows exceeding 200 million yuan, with AVIC Chengfei leading at 983 million yuan [12]. - On the other hand, 19 stocks experienced net outflows exceeding 400 million yuan, with Ningde Times leading the outflows at 895 million yuan [13].