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【广发金工】AI识图关注通信
广发证券首席金工分析师 安宁宁 SAC: S0260512020003 anningning@gf.com.cn 广发证券资深金工分析师 张钰东 SAC: S0260522070006 zhangyudong@gf.com.cn 广发金工安宁宁陈原文团队 摘要 最近5个交易日,科创50指数涨13.31%,创业板指涨5.85%,大盘价值涨1.56%,大盘成长涨4.77%,上证50涨3.38%,国证2000代表的小盘涨3.47%,通 信、电子表现靠前,房地产、煤炭表现靠后。 风险溢价,中证全指静态PE的倒数EP减去十年期国债收益率,权益与债券资产隐含收益率对比,历史数次极端底部该数据均处在均值上两倍标准差区 域,比如2012/2018/2020年(疫情突发),2022/04/26达到4.17%,2022/10/28风险溢价再次上升到4.08%,市场迅速反弹,2024/01/19指标4.11%,自2016年 以来第五次超过4%。截至2025/08/22指标3.03%,两倍标准差边界为4.77%。 估值水平,截至2025/08/22,中证全指PETTM分位数76%,上证50与沪深300分别为72%、68%,创业板指接 ...
【广发金工】AI识图关注红利
Market Performance - The Sci-Tech 50 Index decreased by 1.47% over the last five trading days, while the ChiNext Index fell by 0.88%. In contrast, the large-cap value stocks rose by 0.48%, and the large-cap growth stocks declined by 0.40% [1] - The medical and biological sectors performed well, while the computer and machinery equipment sectors lagged behind [1] Risk Premium Analysis - The static PE of the CSI All Share Index minus the yield of 10-year government bonds indicates a risk premium. Historical extreme bottoms have shown this data to be at two standard deviations above the mean, with recent peaks at 4.17% on April 26, 2022, and 4.11% on January 19, 2024. As of May 23, 2025, the indicator stands at 3.84%, with the two standard deviation boundary at 4.76% [1] Valuation Levels - As of May 23, 2025, the CSI All Share Index's TTM PE is at the 51st percentile, with the SSE 50 and CSI 300 at 62% and 49%, respectively. The ChiNext Index is close to 11%, indicating a relatively low valuation level compared to historical averages [2] Long-term Market Trends - The Shenzhen 100 Index has experienced bear markets approximately every three years, followed by bull markets. The current adjustment, which began in Q1 2021, has shown sufficient time and space for a potential upward cycle [2] Fund Flow and Trading Activity - In the last five trading days, ETF funds saw an outflow of 24 billion yuan, while margin financing decreased by approximately 20 million yuan. The average daily trading volume across both markets was 1.1376 trillion yuan [3] AI and Machine Learning Applications - A convolutional neural network (CNN) has been utilized to model price and volume data, mapping learned features to industry themes. The latest focus is on sectors such as banking and dividends [2][10]
【广发金工】AI识图关注银行
Market Performance - The recent 5 trading days saw the Sci-Tech 50 Index increase by 0.24%, the ChiNext Index rise by 4.13%, large-cap value stocks up by 1.55%, large-cap growth stocks up by 2.05%, the SSE 50 Index up by 1.46%, and the small-cap represented by the CSI 2000 up by 3.77% [1] - The defense and military industry, as well as the communication sector, performed well, while steel and retail sectors lagged behind [1] Risk Premium Analysis - The static PE of the CSI All Index minus the yield of 10-year government bonds indicates a risk premium, which has historically reached extreme levels at two standard deviations above the mean during significant market bottoms, such as in 2012, 2018, and 2020 [1] - As of April 26, 2022, the risk premium reached 4.17%, and on October 28, 2022, it was 4.08%, with a recent reading of 4.11% on January 19, 2024, marking the fifth occurrence since 2016 of exceeding 4% [1] Valuation Levels - As of May 9, 2025, the CSI All Index's PETTM is at the 50th percentile, with the SSE 50 and CSI 300 at 61% and 47% respectively, while the ChiNext Index is close to 11% [2] - The ChiNext Index's valuation is relatively low compared to historical averages [2] Long-term Market Trends - The technical analysis of the Deep 100 Index indicates a pattern of bear markets every three years followed by bull markets, with previous declines ranging from 40% to 45% [2] - The current adjustment cycle began in Q1 2021, suggesting a potential for upward movement from the bottom [2] Fund Flow and Trading Activity - In the last 5 trading days, ETF funds saw an outflow of 17.9 billion yuan, while margin trading increased by approximately 4.4 billion yuan [2] - The average daily trading volume across both markets was 1.2918 trillion yuan [2] AI and Machine Learning Insights - A convolutional neural network (CNN) was utilized to model price and volume data, mapping learned features to industry themes, with a current focus on banking [2][7] Market Sentiment - The proportion of stocks above the 200-day moving average is being tracked to gauge market sentiment [9] Equity and Bond Risk Preference - Ongoing monitoring of risk preferences between equity and bond assets is being conducted [11]
【广发金工】AI识图关注红利低波(20250330)
广发金融工程研究· 2025-03-30 04:51
Market Performance - The recent 5 trading days saw the Sci-Tech 50 Index decline by 1.29%, and the ChiNext Index drop by 1.12%, while the large-cap value index rose by 0.28% and the large-cap growth index increased by 0.04% [1] - The healthcare and agriculture sectors performed well, whereas the computer and defense industries lagged behind [1] Risk Premium Analysis - The static PE of the CSI All Share Index minus the yield of 10-year government bonds indicates a risk premium, which has historically reached extreme levels at two standard deviations above the mean during significant market bottoms [1] - As of January 19, 2024, the risk premium indicator was at 4.11%, marking the fifth occurrence since 2016 of exceeding 4% [1] Valuation Levels - As of March 28, 2025, the CSI All Share Index's PE TTM percentile was at 53%, with the SSE 50 and CSI 300 at 58% and 48% respectively, while the ChiNext Index was close to 14% [2] - The ChiNext Index's valuation is relatively low compared to historical averages [2] Long-term Market Trends - The Shenzhen 100 Index has experienced bear markets approximately every three years, followed by bull markets, with declines ranging from 40% to 45% [2] - The current adjustment cycle, which began in Q1 2021, appears to have sufficient time and space for a potential upward trend [2] Fund Flow and Trading Activity - In the last 5 trading days, ETF inflows totaled 16.2 billion yuan, while margin financing decreased by approximately 24.8 billion yuan [3] - The average daily trading volume across both markets was 1.2346 trillion yuan [3] Thematic Investment Focus - As of March 28, 2025, the recommended investment themes include construction materials and low-volatility dividend stocks [2][8]