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"title": "美股行情恐「只剩一个月」!高盛:动量股狂飙25%历史仅11次 随后将转为下行",
"shortTitle": "美股行情恐「只剩一个月」!高盛:动量股狂飙25%历史仅11次",
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"description": "高盛最新报告指出,美股近期虽连创历史新高,但涨势高度集中于 AI 与科技股。辉达单独贡献标普 500 约 20% 年内回报,动量因子三个月暴涨 25%,创历史罕见纪录。高盛警告,类似情况过去常在数月后迎来回调,并建议投资人关注低动量股",
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"content": "<p>高盛指出,其追踪的动量因子在过去三个月累计大涨约 25%,回顾历史,类似幅度的急升情况仅出现过 11 次。从过往经验来看,动量行情通常还会延续约一个月,之后便容易进入高点回落阶段。</p>\n<p style=\"text-align:center;\"><img src=\"https://cimg.cnyes.cool/prod/news/6461111/l/59ed26950f600ac3ef34c680e03c2568.jpg\" alt=\"\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\"></p>\n\n\n<p>美股近期连创历史新高,但表象繁荣之下暗藏隐忧。高盛周五(15 日)发布的美股周度策略报告揭示,标普 500 指数过去一个月连续刷新 14 个历史高点、年内累计上涨 10%,然而这波涨势几乎清一色由科技与 AI 相关类股驱动,市场广度已萎缩至近几十年来最窄水准。</p>\n\n<p>报告数据显示,以科技、传媒及亚马逊 (<a data-symbol-template=\"USS:AMZN:STOCK:COMMON\" href=\"#\">AMZN-US</a>) 、特斯拉 (<a data-symbol-template=\"USS:TSLA:STOCK:COMMON\" href=\"#\">TSLA-US</a>) 为核心的 TMT 板块,贡献了标普 500 年内高达 85% 的涨幅。若剔除 TMT 类股,指数年内实际涨幅仅有 3%。</p>\n\n<p>其中,辉达 (<a data-symbol-template=\"USS:NVDA:STOCK:COMMON\" href=\"#\">NVDA-US</a>) 尤为突出。尽管其市值权重约占标普 500 整体的 9%,却独力贡献了指数年内总回报的 20%。</p>\n\n<p>资讯科技板块年内共贡献约 659 个基点涨幅,占总回报比重高达 66%;通讯服务板块则贡献 132 个基点、占比 13%。前十大贡献个股合计拉动指数年内 84% 的涨幅,Google(<a data-symbol-template=\"USS:GOOGL:STOCK:COMMON\" href=\"#\">GOOGL-US</a>) 、美光科技 (<a data-symbol-template=\"USS:MU:STOCK:COMMON\" href=\"#\">MU-US</a>) 、博通 (<a data-symbol-template=\"USS:AVGO:STOCK:COMMON\" href=\"#\">AVGO-US</a>) 紧随辉达其后。</p>\n\n<p>多位基金经理向高盛反映,在当前市场环境下,要找到与 AI 主题无关的投资机会极为困难。</p>\n\n<p>对此,高盛直接将这一现象定性为「一笔大交易」(One Big Trade),当今市场已不再是个股多元并立的格局,而是围绕 AI 押注高度同质化的单向交易。</p>\n\n<h6>动量飙升创纪录 历史警讯浮现</h6>\n\n<p>值得警惕的是,高盛动量因子过去三个月急涨 25%,为有纪录以来最强劲走势之一,避险基金对动量因子的总杠杆与净敞口也双双逼近五年高位。</p>\n\n<p>高盛系统性回顾 1980 年以来的历史数据后发现,类似幅度的动量急涨共出现过 11 次。这些案例呈现出一致规律:动量冲刺后通常仍可再延续约一个月,平均再获得 6% 涨幅,但随后在两至三个月内便转为下行。</p>\n\n<p>更值得投资人留意的是,当动量急涨发生时,若标普 500 恰好处于历史高位附近,后市回报往往明显偏弱。</p>\n\n<p>高盛数据指出,在指数距历史高点 5% 以内时发生的 5 次动量急涨中,后续一个月与三个月的中位数报酬均趋近于零,正收益概率仅介于 20% 至 40% 之间。</p>\n\n<p>相较之下,若动量急涨发生于指数低位,后续三至六个月中位数报酬则均超过 8%。</p>\n\n<p>高盛点名与当前情境最为接近的历史案例,分别是 1998 年中期、1999 年底、2015 年中期及 2021 年底。</p>\n\n<p>高盛指出,未来动量因子与整体股市走势,将高度取决于总体经济表现以及市场对 AI 投资的信心变化。</p>\n\n<p>若 AI 投资热潮降温,或经济环境突然明显恶化,先前涨幅过大的热门股可能面临补跌压力,进而带动动量交易反转下行;反之,若经济前景意外改善,先前表现落后的股票则有机会出现补涨行情,推动市场风格重新轮动。</p>\n\n<h6>盈利基本面撑腰 但上修动能高度集中</h6>\n\n<p>不过,与 2000 年代网路泡沫或 2021 年的虚火行情不同,高盛强调,本轮涨势仍有一定的基本面依据。年初至今,标普 500 指数 2026 年与 2027 年每股盈余(EPS)的市场一致预期已分别上调 8%。</p>\n\n<p>然而,上修动能同样高度集中。AI 基础建设相关个股的 2027 年 EPS 预期年内累计上修幅度高达 32%,能源板块上修约 19%;但剔除这两类公司后,标普 500 整体的 2027 年 EPS 预期年内几乎原地踏步。</p>\n\n<p>从个别板块观察,股价表现与盈利上修之间存在明显落差。能源板块 EPS 预期自年初已上调逾 26%,但板块股价涨幅仅约 4%;半导体板块则恰恰相反,股价涨势早已超越盈利修正幅度。</p>\n\n<p>高盛认为,这部分反映了杠杆 ETF 资金涌入等技术性因素,以及市场对长期盈利增长的隐性预期已远超分析师的近期预测。</p>\n\n<h6>高盛开药方 低动量股与「不敏感组合」提供避险出路</h6>\n\n<p>面对高度集中的 AI 动量行情,高盛为投资人提出两种应对策略。</p>\n\n<p><em><strong>其一,以低动量股作</strong><strong>为避险</strong><strong>部位。</strong></em> 高盛回顾过去百年最剧烈的动量逆转事件后发现,在这些极端情境下,前期落后的低动量股不仅跑赢大盘,更实现了绝对正报酬。</p>\n\n<p><em><strong>其二,建构「不敏感组合」。</strong></em> 高盛从罗素 1000 指数中,挑选出股价对 AI 交易与美国经济成长定价敏感度最低、同时具备正向 EPS 修正的个股。</p>\n\n<p>这批标的过去一年中,AI 与经济成长两大因子合计仅能解释中位数个股日报酬变动的 13%,远低于罗素 1000 中位数个股的 30%。</p>\n\n<p>筛选结果涵盖能源、消费必需品、医疗保健等防御性板块,成分股市值中位数约 250 亿美元,远期本益比中位数约 17 倍。</p>\n\n<p>在板块配置上,高盛指出消费必需品与 AI 及动量因子的相关性最低,医疗保健与不动产信托基金亦仅呈温和负相关。</p>\n\n<p>考虑到未来数季度经济可能趋缓,持有对 AI 敏感度有限的防御性部位,在多元化股票组合中具备相当的配置吸引力。</p>\n<div class=\"related-articles seo-links\">\n <h4>相关阅读</h4>\n <ul>\n <li><a href=\"/new/mg/article-12275.html\" title=\"AI指标NASDAQ震荡寻求新高 美科技股长线有撑 布局攻略一次看\">AI指标NASDAQ震荡寻求新高 美科技股长线有撑 布局攻略一次看</a></li>\n <li><a href=\"/new/mg/article-19190.html\" title=\"油价又破百美元!30年期美债殖利率冲回24年高点\">油价又破百美元!30年期美债殖利率冲回24年高点</a></li>\n <li><a href=\"/new/mg/article-13182.html\" title=\"辉达财测惊艳 分析师看好市值冲到13兆美元\">辉达财测惊艳 分析师看好市值冲到13兆美元</a></li>\n <li><a href=\"/new/mg/article-21738.html\" title=\"AWS云端算力预订延伸至2028年,亚马逊称明年容量大致售罄\">AWS云端算力预订延伸至2028年,亚马逊称明年容量大致售罄</a></li>\n <li><a href=\"/new/mg/article-13180.html\" title=\"辉达估营收四年增1730% 分析师:史上从未有公司成长如此迅速\">辉达估营收四年增1730% 分析师:史上从未有公司成长如此迅速</a></li>\n <li><a href=\"/new/mg/article-3502.html\" title=\"〈日月光股东会〉释涨价讯号 吴田玉:涨价有三层次、第一层涨价是必然\">〈日月光股东会〉释涨价讯号 吴田玉:涨价有三层次、第一层涨价是必然</a></li>\n </ul>\n</div>",
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