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股指期货日度数据跟踪2025-08-22-20250822
Guang Da Qi Huo· 2025-08-22 05:32
Report Summary 1. Index Trends - On August 21st, the Shanghai Composite Index rose 0.13% to 3771.1 points with a trading volume of 997.42 billion yuan; the Shenzhen Component Index fell 0.06% to 11919.76 points with a trading volume of 1426.32 billion yuan [1]. - The CSI 1000 Index fell 0.71% with a trading volume of 516.51 billion yuan; the CSI 500 Index fell 0.36% with a trading volume of 404.12 billion yuan; the SSE 50 Index rose 0.53% with a trading volume of 136.49 billion yuan; the CSI 300 Index rose 0.39% with a trading volume of 558.52 billion yuan [1]. 2. Impact of Sector Movements on Indexes - The CSI 1000 dropped 52.12 points compared to the previous close, with sectors like power equipment, machinery, and electronics pulling the index down [2]. - The CSI 500 dropped 23.9 points, with the media sector pulling it up and non - bank finance, power equipment, and electronics pulling it down [2]. - The CSI 300 rose 16.67 points, driven up by sectors such as banks, pharmaceuticals, and communications [2]. - The SSE 50 rose 15.19 points, boosted by banks, communications, and petroleum and petrochemicals [2]. 3. Stock Index Futures Basis and Annualized Opening Costs - For IM contracts, IM00 had an average daily basis of - 60.53, IM01 of - 107.71, IM02 of - 212.17, and IM03 of - 364.91 [13]. - For IC contracts, IC00 had an average daily basis of - 60.14, IC01 of - 98.23, IC02 of - 184.34, and IC03 of - 310.15 [13]. - For IF contracts, IF00 had an average daily basis of - 9.13, IF01 of - 16.06, IF02 of - 28.63, and IF03 of - 49.68 [13]. - For IH contracts, IH00 had an average daily basis of 0.85, IH01 of 0.7, IH02 of 2.49, and IH03 of 5.13 [13]. 4. Stock Index Futures Roll - over Point Differences and Annualized Costs - For IM contracts, data on roll - over point differences and their annualized costs at different time points from 09:45 to 15:00 are provided, e.g., at 09:45, IM00 - 01 was - 73.02267 [24]. - For IC contracts, similar data are given, such as at 09:45, IC00 - 01 was - 68.64222 [21]. - For IF contracts, at 09:45, IF00 - 01 was - 12.31678 [22]. - For IH contracts, at 09:45, IH00 - 01 was 0.707 [23].
“申”挖数据 | 估值水温表
以下文章来源于申万宏源证券上海分公司 ,作者李金玲 申万宏源证券上海分公司 . 申万宏源证券上海分公司官微,能为您提供账户开立、软件下载、研究所及投顾资讯等综合服务,为您的财富保驾护航。 目前市场主要宽基指数PE估值(TTM)均高于20%。上证50、上证指数、北证50、中证A100和科创50的PE估值(TTM)分别处于上市 85.14%、86.99%、95.00%、98.35%和99.63%的分位水平,估值分位相对较高,应注意风险。 行业方面: 当前申万一级行业指数中食品饮料和农林牧渔的PE估值(TTM)低于近十年20%分位水平,PE(TTM)估值分别处于近十年6.98%和 8.81%的分位水平,可作为重点关注。 建筑材料、传媒、钢铁、电子、商贸零售、计算机和房地产的行业PE估值(TTM)分别处于近十年历史80.20%、80.20%、82.42%、 85.30%、85.38%、98.07%和99.96%分位水平,应注意投资风险。 数据速看: 1、巴菲特指标: 当前A股巴菲特指标为83.15%%,处于相对较高区间,略高于安全区间。 2、估值历史百分位水平: 宽基指数方面: ' MET 重点关注指数估值表现 1、 ...
创业板指涨幅扩大至1%,中国船舶复牌高开
第一财经· 2025-08-19 02:07
第 一 财 经 持 续 追 踪 财 经 热 点 。 若 您 掌 握 公 司 动 态 、 行 业 趋 势 、 金 融 事 件 等 有 价 值 的 线 索 , 欢 迎 提 供 。 专 用 邮 箱 : bianjibu@yicai.com 2025.08. 19 本文字数:291,阅读时长大约1分钟 作者 | 一财资讯 8月19日,三大指数开盘涨跌不一,沪指涨0.01%,深成指跌0.06%,创业板指跌0.37%。热门题材 普遍调整,炒股软件、玻纤、GPU概念跌幅居前;稀土、机械、传媒板块造好。中国船舶复牌高开 逾6%。 | 全A | 涨 2237 | 平 1031 | 跌 2151 A股成 | | --- | --- | --- | --- | | 序号 代码 | 名称 | 现价 | 涨跌 涨跌幅 | | 1 | | 3728.49 c | 0.46 0.01% | | 2 | 399001 深证成指 | 11827.90c | -7.67 -0.06% | | 3 | 899050 北班50 | 1587.33 c | 10.70 0.68% | | 4 | 881001 万得全A | 5917.45 c | 1 ...
国泰海通|2025上海先导产业大会暨第14届医药CEO论坛+第5届人工智能大会
国泰海通证券 | 研究所 2025上海先导产业7 暨第14届医药CEO论坛 +第5届人工智能大会 2025年9月4日-5日 | 上海浦东文华东方酒店 家和豆 外科技 官席分 未文心 郎所长、科技组 物医药直席分 9月4日-5日全天小时日本 * 拟邀请上市公司(持续更新中),排名不分先后 更新时间: 2025/8/18/09:30 | 制药 | | | | | | | --- | --- | --- | --- | --- | --- | | 艾力斯 | 歌礼制药 | 君实生物 | 册珠集团 | 只新约业 | 益方生物 | | 白利天恒 | 翰森制药 | 凯因科技 | 联邦制药 | 信达生物 | 映恩生物 | | 贝达药业 | 和誉 | 康方生物 | 绿叶制药 | 信立泰 | 悦康药业 | | 博瑞医药 | 恒瑞医药 | 康弘药业 | 荣昌生物 | 亚盛医药 | 电鼎医药 | | 德琪医药 | 华东医药 | 科伦博泰 | 三生国健 | 药捷安康 | 泽璟制药 | | 图华药业 | 北京的药 | 科伦药业 | 三生制药 | 宜明昂科 | 众生药业 | | 复宏汉霖 | 汇宇制药 | 来凯医药 | 微芯生物 | 中 ...
四只*ST股面临退市 今年A股告别23家公司
Shen Zhen Shang Bao· 2025-08-10 22:38
Group 1 - The A-share market is facing increased scrutiny as multiple listed companies are at risk of delisting due to suspected financial fraud or information disclosure violations, with *ST Zitian, *ST Suwu, *ST Tianmao, and *ST Gaohong being the focal points for investors [1] - On August 8, *ST Gaohong was subjected to mandatory delisting procedures by the Shenzhen Stock Exchange due to serious financial fraud and was fined 160 million yuan, while *ST Tianmao announced its intention to voluntarily withdraw its A-share listing [1] - *ST Zitian's stock price has plummeted by 87.01% this year, and it received a notice from the Shenzhen Stock Exchange regarding the potential termination of its stock listing [1] Group 2 - A total of 23 companies have been delisted from the A-share market this year, primarily due to financial-related delistings, trading-related delistings, and major illegal activities leading to mandatory or voluntary delistings [2] - Companies such as *ST Furun, *ST Dongfang, *ST Xulan, *ST Jiayu, and *ST Jiyuan have been delisted for having stock prices below par value, while others like *ST Boxin and *ST Dayao were delisted for having market capitalizations below 500 million yuan [2]
招期金工股票策略环境监控周报:本周基差走阔宽基指数下跌后市股票策略性价比犹在-20250804
Zhao Shang Qi Huo· 2025-08-04 06:29
Quantitative Factors and Models Summary Quantitative Factors and Construction - **Factor Name**: BETA **Construction Idea**: Measures the sensitivity of a stock's returns to market returns, capturing systematic risk exposure [13][28] **Construction Process**: The BETA factor is calculated as the slope coefficient in a regression of a stock's returns against the market index returns over a specified period [13][28] **Evaluation**: This factor performed well during the week, indicating a positive contribution to portfolio returns [13][28] - **Factor Name**: Residual Volatility **Construction Idea**: Captures the idiosyncratic risk of a stock, independent of market movements [13][28] **Construction Process**: Residual volatility is derived from the standard deviation of the residuals in a regression of stock returns against market returns [13][28] **Evaluation**: This factor showed moderate positive performance during the week [13][28] - **Factor Name**: Momentum **Construction Idea**: Reflects the tendency of stocks with strong past performance to continue performing well in the short term [13][28] **Construction Process**: Momentum is calculated as the cumulative return of a stock over a specific look-back period, excluding the most recent month [13][28] **Evaluation**: This factor exhibited slight positive performance during the week [13][28] - **Factor Name**: Value **Construction Idea**: Measures the attractiveness of a stock based on its valuation metrics, such as price-to-earnings or price-to-book ratios [13][28] **Construction Process**: Value is computed using a weighted combination of valuation ratios, normalized across the universe of stocks [13][28] **Evaluation**: This factor underperformed during the week, indicating a negative contribution to portfolio returns [13][28] - **Factor Name**: Leverage **Construction Idea**: Represents the financial risk of a company based on its debt levels relative to equity [13][28] **Construction Process**: Leverage is calculated as the ratio of total debt to total equity for each stock [13][28] **Evaluation**: This factor showed slight negative performance during the week [13][28] - **Factor Name**: Size **Construction Idea**: Captures the performance difference between small-cap and large-cap stocks [13][28] **Construction Process**: Size is measured as the natural logarithm of a company's market capitalization [13][28] **Evaluation**: This factor significantly underperformed during the week, reflecting a preference for larger-cap stocks [13][28] Factor Backtesting Results - **BETA Factor**: Weekly return +0.27%, 1-year Sharpe ratio 2.74, 1-year maximum drawdown 5.40% [13][29] - **Residual Volatility Factor**: Weekly return +0.12%, 1-year Sharpe ratio -3.22, 1-year maximum drawdown 11.67% [13][29] - **Momentum Factor**: Weekly return +0.05%, 1-year Sharpe ratio 2.96, 1-year maximum drawdown 2.47% [13][29] - **Value Factor**: Weekly return -0.25%, 1-year Sharpe ratio -0.18, 1-year maximum drawdown 3.31% [13][29] - **Leverage Factor**: Weekly return -0.28%, 1-year Sharpe ratio 2.96, 1-year maximum drawdown 1.55% [13][29] - **Size Factor**: Weekly return -0.47%, 1-year Sharpe ratio -5.82, 1-year maximum drawdown 17.33% [13][29]
估值周观察(8月第1期):全球估值普遍收敛
Guoxin Securities· 2025-08-03 15:15
Global Market Overview - The global markets experienced a general decline in the week from July 28 to August 1, 2025, with the US stock market falling across the board, particularly the Dow Jones Industrial Average. European markets, led by Germany and France, also saw significant drops, while the UK showed relative resilience. The Asia-Pacific region weakened overall, with notable declines in Japan and South Korea, and significant losses in Hong Kong stocks [2][8]. - Valuation adjustments were observed, with the German DAX expanding its PE ratio by 1.42x, maintaining a high percentile. The French CAC40 dropped by 3.68%, with a corresponding PE reduction of 1.23x. Most Hong Kong indices, except for the Hang Seng Tech Index, remained at high valuation percentiles over the past three years [2][8]. A-share Market Analysis - The A-share market saw a broad decline in core indices, with a moderate contraction in valuations during the same week. The National Index 2000 and the CSI 1000 showed relative resilience with declines of only -0.19% and -0.54%, respectively, while the CSI 100 experienced a significant drop of -2.15%. Growth and value indices faced pressure, with large-cap growth down by 2.58% and mid-cap value down by 2.57% [2][36]. - Overall, the A-share market's valuations contracted significantly, with large-cap growth experiencing the largest PE contraction of -1.45x, followed by the National Growth Index at -1.2x. As of August 1, 2025, major A-share indices' PE, PB, and PS ratios were positioned between the 85%-100% percentiles for the past year, while PCF ratios were between 80%-90% [2][36][38]. Sector Performance - Most primary sectors in the A-share market declined, with the financial sector showing mixed results. Real estate and non-bank financials led the declines at -3.43% and -2.4%, respectively, while the banking sector saw a smaller drop of -0.84%. The essential consumer sector displayed internal differentiation, with pharmaceuticals rising by 2.95% while other sectors fell by over 2% [2][36]. - Valuations across sectors generally contracted, with pharmaceuticals experiencing the most significant expansion, exceeding 1x, while beauty care and real estate saw PE contractions of over 1x [2][36]. Valuation Comparisons - The essential consumer sector demonstrated superior valuation attractiveness. In terms of PE, PB, PS, and PCF percentiles, bank valuations are at historical highs, nearing 100% in both 1-year and 3-year dimensions. The TMT sector is also at long-term high valuations, while essential consumer sectors like food and beverage show significant valuation recovery potential, with 3-year and 5-year average percentiles at only 9.94% and 5.97%, respectively [2][36]. - Emerging industries showed mixed performance, with optical modules and optical communications standing out. Innovative pharmaceuticals and 5G sectors saw gains of 3.5% and 2.87%, respectively, while the smart vehicle sector exhibited internal differentiation [2][36].
金工ETF点评:跨境ETF单日净流入66.57亿元,医药拥挤持续满位,钢铁建材高位
- The report constructs an industry crowding monitoring model to monitor the crowding degree of Shenwan first-level industry indices on a daily basis[4] - The ETF product screening signal model is built using the premium rate Z-score model, which provides potential arbitrage opportunities through rolling calculations[5] Model Construction and Evaluation 1. **Industry Crowding Monitoring Model** - **Construction Idea**: Monitor the crowding degree of Shenwan first-level industry indices daily[4] - **Construction Process**: The model calculates the crowding degree of each industry index based on the daily trading data and ranks them accordingly[4] - **Evaluation**: The model effectively identifies industries with high and low crowding degrees, providing valuable insights for investment decisions[4] 2. **Premium Rate Z-score Model** - **Construction Idea**: Identify potential arbitrage opportunities in ETF products by calculating the Z-score of their premium rates[5] - **Construction Process**: - Calculate the premium rate of each ETF product - Compute the Z-score of the premium rate using the formula: $ Z = \frac{(X - \mu)}{\sigma} $ where \( X \) is the premium rate, \( \mu \) is the mean premium rate, and \( \sigma \) is the standard deviation of the premium rate[5] - **Evaluation**: The model helps in identifying ETF products with significant deviations from their average premium rates, indicating potential arbitrage opportunities[5] Model Backtesting Results 1. **Industry Crowding Monitoring Model** - **Top Crowded Industries**: Pharmaceuticals, Steel, Building Materials[4] - **Least Crowded Industries**: Automobiles, Home Appliances[4] 2. **Premium Rate Z-score Model** - **Top Potential Arbitrage Opportunities**: Identified through rolling calculations, specific ETF products are not listed in the provided content[5]
粤开市场日报-20250718
Yuekai Securities· 2025-07-18 09:19
Market Overview - The A-share market showed a positive trend today, with major indices mostly rising. The Shanghai Composite Index increased by 0.50% to close at 3534.48 points, the Shenzhen Component Index rose by 0.37% to 10913.84 points, and the ChiNext Index gained 0.34% to finish at 2277.15 points. The total trading volume in the Shanghai and Shenzhen markets reached 1571 billion yuan, an increase of 31.7 billion yuan compared to the previous trading day [1][14]. Industry Performance - Among the Shenwan first-level industries, the leading sectors included non-ferrous metals, basic chemicals, steel, coal, and transportation, with respective increases of 2.10%, 1.36%, 1.34%, 0.94%, and 0.90%. Conversely, the media, electronics, light manufacturing, public utilities, and telecommunications sectors experienced declines, with decreases of 0.98%, 0.49%, 0.41%, 0.35%, and 0.31% respectively [1][14]. Concept Sector Performance - The top-performing concept sectors today included rare earths, rare metals, lithium mining, rare earth permanent magnets, and small metals, among others. Notable sectors that experienced pullbacks included marketing communication, dairy, and online gaming [2][11].
A股市场大势研判:大盘震荡走高,沪指逼近3500点
Dongguan Securities· 2025-07-08 23:30
Market Performance - The Shanghai Composite Index closed at 3497.48, up 0.70% with an increase of 24.35 points [2] - The Shenzhen Component Index rose by 1.47%, closing at 10588.39, with an increase of 152.89 points [2] - The CSI 300 Index increased by 0.84%, closing at 3998.45, with an increase of 33.28 points [2] - The ChiNext Index led the gains with a rise of 2.39%, closing at 2181.08, increasing by 50.89 points [2] - The STAR 50 Index closed at 991.95, up 1.40%, with an increase of 13.66 points [2] - The North Exchange 50 Index rose by 1.36%, closing at 1420.99, with an increase of 19.07 points [2] Sector Performance - The top-performing sectors included Communication (up 2.89%), Electric Equipment (up 2.30%), and Electronics (up 2.27%) [3] - The underperforming sectors were Utilities (down 0.37%), Banks (down 0.24%), and Household Appliances (up 0.21%) [3] - Concept sectors that performed well included BC Battery (up 4.13%), Silicon Energy (up 4.02%), and PCB Concept (up 3.86%) [3] - Underperforming concept sectors included Shipbuilding System (down 0.45%) and Biomass Power Generation (up 0.03%) [3] Market Outlook - The market showed a general upward trend with the Shanghai Composite Index approaching 3500 points, and the ChiNext Index leading the gains [4] - The trading volume in the Shanghai and Shenzhen markets reached 1.45 trillion, an increase of 245.3 billion compared to the previous trading day [7] - The report anticipates that the domestic economy will maintain resilience, with a lower likelihood of unexpected policy changes in the short term [7] - The report highlights that July is a period for tariff negotiations and economic observation, with a focus on the upcoming Politburo meeting at the end of the month [7] - The external environment for A-shares is expected to stabilize, with reduced disturbances from international factors [7]