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该文章主张,崩盘预测正变得更困难,因为关键金融讯号正从公开市场转向私人市场,而后者的资讯揭露较弱且较慢。在美国,过去20年内国内上市公司数量已下降超过50%,同时私人市场规模激增,其中包括超过850家估值高于$1 billion的美国独角兽企业。依赖高频指标(如企业盈余、贷款压力、通膨、零售销售与就业)的政策制定者,如今面临不断扩大的资讯盲区,而2025年美国政府停摆期间的数据中断更凸显了这一点。

多个管道都出现了风险上升但不透明的证据:Fed 数据显示,2019 到 2024 年间,银行对影子放款机构的贷款承诺增加超过 50%,达到 $2.2 trillion,同时监管机构也警示对冲基金、私募信贷与非银行融资链中的杠杆问题。当局指出难以监测的曝险,例如每日约 $4 trillion 的外汇掉期市场与美债基差交易;当这些交易在 2020 年失灵时,Fed 在 3-4 月购买了约 $2.5 trillion 资产,并承诺再提供数千亿的回购机制支持。2025 年近期直接放款机构的失败案例,加上更广泛使用以实物支付利息(payment-in-kind)来递延现金利息的结构,被视为可能延后可见违约讯号并压缩反应时间的机制。

其涵义是一种结构性透明度的权衡:私人融资成长更快,对比整体系统风险侦测能力较弱;官员警告这会提高出现更大意外冲击的机率。主要监管机构已明确承认资料限制,包括ECB对非银行分析的局限,以及英国2022年LDI危机的教训,当时部位过度集中放大了压力。与此同时,市场的平行回应是付费替代资料集快速成长,预测将由2024年约$11.7 billion扩大到2030年的$135.7 billion(约11.6x),但对代理指标与专有资料的依赖,可能造成监管能力不均,并使跨境连结被低度衡量。

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The article argues that crash prediction is getting harder because critical financial signals are moving from public to private markets, where disclosure is weaker and slower. In the US, the number of domestic public companies has fallen by more than 50% over the past 20 years, while private-market scale has surged, including more than 850 US unicorns valued above $1 billion. Policymakers that depend on frequent indicators like earnings, loan stress, inflation, retail sales, and jobs now face widening blind spots, highlighted by data disruptions during the 2025 US government shutdown.

Evidence of rising but opaque risk appears across multiple channels: Fed data showed banks’ loan commitments to shadow lenders rose by more than 50% to $2.2 trillion from 2019 to 2024, while regulators also flag leverage in hedge funds, private credit, and non-bank financing chains. Authorities point to hard-to-monitor exposures such as the roughly $4 trillion-per-day FX swaps market and Treasury basis trades; when those trades seized in 2020, the Fed bought about $2.5 trillion of assets in March-April and pledged hundreds of billions more in repo backstops. Recent failures in 2025 among direct lenders, plus greater use of payment-in-kind structures that defer cash interest, are cited as mechanisms that can delay visible default signals and compress reaction time.

The implication is a structural transparency tradeoff: faster private financing growth versus weaker system-wide risk detection, with officials warning this raises the odds of a larger surprise shock. Data constraints are explicitly acknowledged by major regulators, including limits in ECB non-bank analysis and lessons from the UK’s 2022 LDI crisis, where concentrated positions amplified stress. A parallel market response is rapid growth in paid alternative datasets, forecast to expand from about $11.7 billion in 2024 to $135.7 billion by 2030 (about 11.6x), but reliance on proxies and proprietary data can create uneven oversight capacity and leave cross-border linkages undermeasured.
2026-02-17 (Tuesday) · 500dd9f49ff961c3ecb5858af8e65c80ea54e90c