LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

Odaily星球日报Publicado em 2023-12-26Última atualização em 2023-12-26

Resumo

速览一周行业重要信息。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

上周市场得到进一步数据支撑,表明美国经济不仅实现了软着陆,而且经济进展平稳,没发生担忧中的通胀回升,进而延长美联储加息周期。之前市场一直在辩论经济实现软着陆的可能性,同时也在考虑长期高位利率环境的前景。但在前周美联储的鸽派转变之后,这种观点发生了快速变化,因为通胀加速放缓,增长保持稳固,实际收益率回落,股市也应声上涨,金融条件迅速放宽。投资者最近表现出了对股票的浓厚兴趣。美国银行称客户最近一周净买入 64 亿美元的美国股票,这是自 2022 年 10 月以来最大的单周净流入。

上周在通胀压力继续消退, 11 月名义 PCE 环比首次出现负数,核心 PCE 价格环比增长 0.1% ,低于预期,年率下降至 3.2% ,从六个月年化数据看联储基本已经完成物价目标

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

并且收入和支出同时反弹:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

在经济数据方面,上周的包括费城联储调查和消费者信心调查 — — 表明经济仍在增长,但速度不太快;与此同时,美国 11 月份耐用品订单超出了投资者的预期。耐用品新订单增长 5.4% ,高于预期的 2.2% 。10 月份耐用品订单萎缩 5.1% 。上周第三季度 GDP 小幅下修至+ 4.9% ,但这仍然是自 2014 年以来最强劲的季度 GDP 增速(不包括疫情后重新开放阶段)。美国 11 月新建房屋销售暴跌,原因是抵押贷款利率上升对购房者造成了不利影响,但考虑到二手挂牌量也急剧萎缩,且冬天本来就是淡季,市场对此数据没有过多关注。

现在市场的主题是美国经济 no landing,所谓的 landing 原本市场预期以 2023 年第四季度/2024 年第一季度活动低谷为标志,不过在这段时间内美国 GDP 依旧有望达到 2% ,然后重新加速。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

美股连续第八周上涨(SPX 2017 年来最长连涨记录),尽管周三盘中跳水 1.5% ,没有明显的原因也没有过多的讨论,零星有评论归因于台海地缘紧张局势升级或大规模标普 500 看跌期权交易。主流的理解还是更合理的解释还是技术面的,市场连续上涨后需要一些冷静的空间。

周五,中国推出一系列限制玩家电子游戏支出的新措施,在全球股市引发涟漪。不止腾讯网易大跌,法国育碧,美国 unity 都跟跌。腾讯的大股东 Naspers/Prosus 大跌 20% 。

沪深 300 指数周五创下连续第六周的下跌,这是自 2012 年 1 月以来最长的连续下跌。该指数今年下跌了近 14% ,落后于全球大多数主要国家股指。金龙指数 2023 年跌幅加深至 8% 左右,远远落后于纳斯达克 100 指数 54% 的涨幅。随着政策制定者加大支持力度,一些人再次燃起希望,认为 2024 年会更好,特别是考虑到中国股市估值低廉。

原油净多头上周自 9 月底以来首次增加,从创纪录的低点反弹,主要由于胡塞武装对穿越红海的商船进行袭击,导致运输从制成品到石油和大宗商品等各种商品的公司股价上涨,石油价格录得数月来最大单周涨幅。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

投机者正在加大对加元的看跌押注,将净空头头寸提升至近五年来的最高水平。主要因通胀依然顽固,增长乏力

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

本周美债收益率总体继续下行,但降幅不及美联储会议释放鸽派大转向信号的前周,短债跌幅偏大, 10 Y 依旧持平 3.9% , 30 Y 持平 4% :

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

市场押注美联储将在 3 月份开始降息 160 个基点,要实现市场定价的目标,劳动力等一些指标需要大幅恶化,目前并看不到这种情况出现的迹象:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

回想起 7 ~ 9 月市场担心的财政纪律混乱的主题让股票和债券市场大跌,实际上到了 2024 年也不会有任何好转,只会更差, 2023 年美债的净发行量为 1 万亿美元,但 2024 年将飙升至 1.9 万亿美元,逆回购工具可能会在 3 月份耗尽难以提供更多流动性支撑,这或许是除了通胀之外市场押注联储必须大幅降息的一大背景。

红海危机海运通胀飙升

上周全球金融市场最大的主题可能是红海航运业危机。由于胡塞武装持续发动袭击的风险, 158 艘载有约 1, 050 亿美元海运货物的船只被迫离开红海,导致货物价格飙升。

宁波航运交易所 12 月 22 日发布的报告显示,目前 85% 的集装箱船班轮公司均已通知暂停红海航线货物的接载。越来越多的货轮将选择绕道好望角,这意味着,运距和运输成本将会大幅增加。据媒体估算,目前来看总体航程增加了 40% ,运输成本上涨了 40% 以上。这带动国内集运指数、市场运价持续走高。上海国际能源交易中心集运指数(欧线)期货主力合约连续 5 个交易日均触及涨停,一周累计涨幅超过 50% 。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

红海中断推高货运成本航运公司财务上将受益,自 12 月 12 日攻击真正加剧以来,全球最大的上市航运公司的总市值已跃升约 220 亿美元。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

红海-苏伊士运河走廊占国际贸易的 12% 和全球集装箱运输量的近三分之一。该航线几乎陷入停滞预示全球供应链的混乱将在短期内重新出现。根据媒体上周五报告, 上海到英国的海运费涨至每 40 英尺集装箱 10000 美元,就在前一周这个价格只有 2400 美元。业内专家分析一旦物流紧张时间超过一个月,供应链乃至消费者层面就会感受到并看到通胀压力。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

资金流与情绪

EPFR Global 的数据表示,现金基金吸引了 1.3 万亿美元的资金流入,使流入全球股市的 1, 520 亿美元相形见绌。投资者对美国国债的投资也比以往任何时候都多,达到 1, 770 亿美元。这些数据说明,在经历了惨淡的 2022 年之后,今年的股市反弹如何让大多数投资者感到意外。这可能意味着,如果央行的预期符合预期,新的一年仍有大量资金在观望,等待被推入股票和债券。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

美银财富管理客户股票持仓 60% , 21.4% 债券, 11.8% 现金,股票比例在上升,债券现金比例在下降:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

过去两周 GS 对冲基金客户的总杠杆率和净杠杆率都加速爬升

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

不过总多空比扔徘徊在历史地位:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

近几周,GS 客户增持防御性股票(必需品、医疗、公用事业)和可选消费,大幅减持周期股(能源、材料、工业、金融、房地产),小幅减持 TMT。GS 客户的操作与最近的市场走势并不完全一致,最近房地产、可选消费、工业、金融板块的反弹势头很强,但 GS 客户选择减持,防御型股票的表现是偏弱的,但 GS 客户选择增持:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

以金融板块为例从 11 月地点反弹了 19% ,但多头在上周开始转为卖出:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

美银牛熊指标继续回升:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

在最新的 AAII 情绪调查中,个人投资者对股票短期前景的乐观情绪升至两年半以来的最高水平。与此同时,悲观情绪略有上升,但仍处于异常低水平。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

牛熊差值刷新 2021 年 3 月以来新高,报 32 ,历史均值 6.5% ,表明散户乐观情绪已经比较极端:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

CNN 恐惧贪婪指数连续两周保持在“极度贪婪”水平:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

机构观点

DB: 2024 估值修复之年

过去五年,在我们分析过程中约占一半市场份额左右的几个欧洲和亚洲国家(粗略计算)的市盈率(P/E)低于过去五年均值 0.75 个标准差。即使在美国和日本,倍数也只是现在才达到其平均水平。如果 2024 年在更确定的宏观经济背景下市场上风险偏好模式持续,很可能会支持便宜的资产。其中许多位于美国以外,它们可以提供多元化收益,并且现在势头也不错:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

补一张 GS 的估值比较,可以看到除了美股估值都不高。美国作为最昂贵的发达市场, 2023 年初的市盈率为 17 倍,现在已经 20 倍,而历史上在通胀率 1 – 3% 时的中位市盈率为 20 倍,所以市场已经定价了通胀回归正常的情景:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

DB: 202 X 迎接下一个泡沫时代

历史上,在经历经济动荡和债券收益率下降后,资产泡沫往往会在一段时期后重新形成。20 世纪 90 年代、 2000 年代和 2020 年代初都是如此。现在收益率有所下降,全球经济正从新冠疫情的影响中复苏,我们有理由相信,在 20 年代的某个时刻,会出现新一轮的资产泡沫。信贷市场系统性风险短期内不大,私募基金现金弹药很多。短期的风险在于,如果美国 2024 年中期遭遇衰退+欧洲经济也已放缓,市场情绪可能再度恶化,届时许多投资者将重新审视风险偏好。(政治风险不止来自美国, 2024 年代表全球 41% 人口和 42% 全球 GDP 的国家的选民将参与领导层换届)

CICC:逆回购还能支撑多久?当前压力不大,美股仍有支撑;明年二季度或再度转向收缩,除非停止缩表

美联储缩表还在继续,TGA 回补已经完成,逆回购自然就成为左右未来流动性变化的关键。当前逆回购还有 1.15 万亿美元,一季度超 4600 亿美元的短债净发行或使其回落 3900 亿美元,仍可对冲同期缩表规模;但二季度短债净发行将明显放缓甚至转负,这或将使得余下逆回购释放速度放缓。如果同期缩表还在继续,那么二季度金融流动性将开始转为收缩。所以美股当前的流动性压力不大,但明年二季度或再面临一定压力,除非美联储停止缩表。

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

(感觉财政混乱+天量供给这个主题将在 2024 年反复出现,尤其碰上美国总统选举,人们的注意力很容易被牵扯到巨额赤字上,尤其是长端债券收益率下行的空间可能十分有限,如果央行大幅降息,收益率水平本身倒也不会达到今年这般高位,而是表现为风险溢价更高和曲线更陡,也就是倒挂恢复正常。货币市场基金 可能是 RRP 之外一个潜在接盘的资金池,但这需要利率大幅下降否则债券对普通投资人没有更多吸引力)

Cathie Wood: 2024 的主题是通缩交易

通缩将成为 2024 年的关键主题,预计将促使美联储大幅降息。技术进步与这样的经济环境相结合,为那些适应通缩、专注于创新的公司创造了未来几年的大幅扩张的条件。虽然之前对其元宇宙策略持怀疑态度并减持了股份,但由于看好其 CEO 扎克伯格利用开源 AI 的策略,正重新对 Meta 燃起兴趣。她还强调了基因编辑技术的变革性潜力,特别提到了 CRISPR 疗法,由于这个领域还处于早期阶段,加上行业十分“烧钱”的问题,该行业的定价效率低下,存在吸引人的投资机会。

美银基金经理调查

BofA 全球基金经理月度调查显示投资者情绪自 2022 年 1 月以来最为乐观,现金水平降至 4.5% ( 2 年低点)

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

股票配置上升至净 15% OverWeight,单月增 13% ,是自 2022 年 11 月以来的最大单月增幅,股票-现金净配置比例创 2022 年 1 月来最高,现在基金经理们 OW 股票才刚 2 个月时间:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

基金经理们对目前承担的风险水平感到舒适,过去两个月风险容忍度提高了 21 个百分点,但没有过热迹象:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

投资者对全球经济增长仍持悲观态度,但有所改善,预计全球经济放缓的可能性下降;

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

91% 的受访者认为美联储加息周期已经结束;89% 的受访者预计短期利率会下降,这是自 2008 年 11 月以来的最高比例, 62% 的受访者预计债券收益率会下降

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

债券目前配置达到 20% 净多仓,创下 15 年来最高:

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

若 Fed 一季度就降息,最看好的交易,首先是长久期国债,其次是长期科技股(例如生物技术,可再生能源),然后是长期价值(例如银行、房地产投资信托基金、小盘股……):

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

最拥挤的交易头寸是做多“Magnificent 7 ”( 49% )和做空中国股票( 22% );中国房地产被视为最有可能的系统性信用事件( 29% ):

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

LD Capital宏观周报(12.25):数据顺风,红海危机,Repo见底,基金经理FOMO,散户情绪过热

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Claude Requires ID Verification and Facial Recognition? The Facial Recognition Requirement is an Old Story from Two Months Ago, and "Sharing Data with Police" is a Misinterpretation

Anthropic's updated privacy policy, effective July 8th, has sparked misinterpretations in Chinese social media, primarily concerning new identity verification and data sharing with law enforcement. A detailed comparison reveals these claims are largely unfounded. First, identity verification (including submitting government ID and a live selfie via third-party provider Persona) is not a new July policy. This mechanism was actually implemented in mid-April 2026 for certain high-use or flagged accounts, particularly Claude Max subscribers. The July update merely formally documents this existing practice in the policy text under a new "Verification Data" section. Second, the widespread claim that the new policy lowers the threshold for sharing user data with law enforcement is incorrect. Comparing the new text with the old version (dated September 28, 2025) shows no substantive tightening. While the new policy more clearly structures the conditions for disclosure—including having a "good-faith belief" it's necessary for legal compliance, preventing harm, fraud detection, or enforcing terms—the old policy already allowed Anthropic to disclose data based on its judgment for similar reasons (e.g., protecting safety, preventing fraud, or complying with law). The term "good-faith belief" acts as a limiting standard, not a lowered barrier. A 2025 court case where Anthropic resisted disclosing user data in a copyright lawsuit further demonstrates the complexity of such standards. The policy's actual substantial changes address data flows for Claude's Agent capabilities. New clauses clarify that when users connect third-party services or instruct Claude to perform multi-step tasks (reading files, sending messages), their inputs, outputs, and instructions are shared with those third parties, governed by the third parties' own policies. This update fills a compliance gap for Claude's evolving functionality beyond simple Q&A. Other additions include a "Research Participation Data" section and refined marketing legal bases. Anthropic reaffirms core commitments: not selling user data, keeping Claude ad-free, and allowing users to control if chats are used for model training. Overall, this update is primarily a compliance catch-up to existing product features, not a significant new privacy tightening. The heightened concern stems from conflating April's verification rollout, standard legal clauses, and the genuine new provisions regarding Agent tasks.

marsbitHá 1m

Claude Requires ID Verification and Facial Recognition? The Facial Recognition Requirement is an Old Story from Two Months Ago, and "Sharing Data with Police" is a Misinterpretation

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The World Cup Has Only Just Begun, But AI Predictions Already Have Models Hailed as 'Godly' and Others Flipping Over

After only a few days of the World Cup, AI models are being widely used for match predictions, with mixed early results. These models analyze details like scores, upsets, red cards, and key players, offering users in prediction markets an extra layer of analysis beyond odds and news. Qwen gained early attention for its remarkably accurate calls on the opening day, correctly predicting Mexico's 2-0 win over South Africa and Korea's 2-1 victory over the Czech Republic, while also highlighting red card risks and match flow. Copilot had its own highlights, accurately forecasting the Mexico 2-0 result, the Korea 2-1 win, and a surprising 1-1 draw between Brazil and Morocco. However, it also misjudged several matches, like predicting a Swiss win that ended in a draw with Qatar and missing Australia's upset over Turkey. ChatGPT provided detailed pre-match analysis and correctly called the Mexico 2-0 score, explaining factors like home-field advantage. Yet, it struggled to anticipate upsets, often siding with the stronger team on paper, as seen in its missed calls for the Australia-Turkey and Japan-Netherlands matches. Social media tests pitted models like Gemini, Grok, and Claude against each other for the same games, revealing different predictive "scripts" even for the same fixture. Overall, while AI models like Qwen and Copilot have shown promising, high-profile successes in early matches, their consistency and ability to predict genuine upsets remain in question. As the tournament progresses, more data will be needed to determine which models offer the most reliable insights for prediction markets.

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The World Cup Has Only Just Begun, But AI Predictions Already Have Models Hailed as 'Godly' and Others Flipping Over

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The Unfinished Tale of Jueying, DaXiao Robotics Swiftly "Raises Funds"

Following a major fundraising round involving several prominent investment institutions, DaXiao Robotics, a company backed by SenseTime, has secured hundreds of millions of US dollars in financing for the first half of 2026. This move signals SenseTime's renewed and substantial bet on "Physical AI" through embodied intelligence, following the relative underperformance of its autonomous driving unit, Jueying. While Jueying achieved mass production partnerships in the smart vehicle sector, it failed to become a pivotal player in the high-level autonomous driving landscape, leading to its gradual independence from SenseTime's core financials. DaXiao Robotics now emerges as SenseTime's next major venture into the physical world. The new funding will focus on developing a "world model" and integrated hardware-software solutions for commercial applications like retail, security, and hospitality. This ambition is significantly more complex and capital-intensive than previous projects. A world model requires understanding spatial relationships, physics, and causality to guide robots in long-term tasks, demanding immense computational resources, data, and engineering. The article highlights several challenges. First, the massive funding, while substantial, may still be strained by the high costs of R&D, data collection, and commercial deployment. Second, SenseTime itself, despite narrowing losses, continues its high-investment growth model and cannot solely bankroll this new, expensive endeavor. Third, DaXiao Robotics, led by SenseTime co-founder Wang Xiaogang, carries the technical heritage and resources of its parent company but also potentially its organizational inertia. It operates in a field increasingly dominated by agile, young technical founders. Ultimately, DaXiao Robotics represents SenseTime's attempt to secure a leading industrial position in embodied intelligence—a goal its Jueying unit did not fully achieve in autonomous driving. The new venture starts with strong capital backing, but faces the critical task of rapidly transitioning from technological narrative to sustainable commercial delivery in an early-stage, costly, and highly competitive arena.

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Crypto 2029: The Ultimate Forecast for the Four-Year Cycle of the Cryptocurrency Industry

Title: Crypto 2029: The Ultimate Four-Year Cycle Prediction for the Encryption Industry This article outlines a detailed, stage-by-stage prediction for the crypto industry from the present to 2029, focusing on tangible shifts rather than abstract theory. Key predictions include: **2026 Mid-Year:** The market shifts focus from traditional tokens to synthetic perpetual contracts for private company shares (e.g., SpaceX on Hyperliquid), which become primary price discovery tools for pre-IPO assets. Most altcoins languish as the market seeks assets with real underlying value. **2026 Year-End:** The "AI + crypto" narrative fades as the AI industry itself does not require crypto infrastructure, except for prediction markets betting on model performance. Concurrently, a quiet institutional adoption of asset tokenization (e.g., money market funds) begins under new regulations like the CLARITY Act, creating a dual economy. **2027:** Major public blockchain foundations pivot decisively to serve institutional clients with compliance tools and enterprise sales, while quietly building infrastructure for a future wave of accredited retail investors. Three sectors hit growth ceilings: private perpetual contracts (due to legal restrictions on marketing), stablecoins (due to political uncertainty ahead of the 2028 US election), and tokenized assets (due to cautious institutional scaling). **2028:** Speculative trading diminishes as market efficiency drains liquidity. A major liquidation cascade in synthetic perpetual contracts exposes the flaw of lacking a legally enforceable underlying asset. In response, regulations are revised to allow marketing of private security secondary sales to accredited investors. This creates a legal, direct market for private company equity, absorbing much of the demand previously met by synthetic derivatives. **2029:** A new bull market emerges, driven not by tokens but by tradable equity in innovative private companies (biotech, robotics, AI). Tokens without legally enforceable claims to real assets lose all liquidity. Successful blockchains become invisible settlement infrastructure. Stablecoins grow steadily at a policy-capped rate. Speculation becomes a niche. Core Questions Answered: 1. **Token Value:** Determined solely by legally enforceable claims to real-world assets. 2. **Tech Adoption:** Achieved through blockchain-based primary/secondary markets for private equity, not through forcing tokens onto tech firms. 3. **Crypto as Infrastructure:** The transition happens silently; the technology becomes a mundane, unseen utility like traditional settlement systems. The entire thesis hinges on one testable variable: by late 2028, whether accredited retail investors gain legal, direct access to private asset markets. If not, the core premise—that legal frameworks, not technology, are the main bottleneck—fails.

Foresight NewsHá 22m

Crypto 2029: The Ultimate Forecast for the Four-Year Cycle of the Cryptocurrency Industry

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