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临界性存在于何处?七次加密货币永续合约清算级联中的早期预警信号具有事件异质性

Where does the criticality live? Early-warning signals are event-heterogeneous across seven crypto-perpetual liquidation cascades

Ramon Marc Garcia Seuma

arXiv 2607.27070首次发表:更新:

AI 中文总结

该研究分析七次BTC清算级联,发现临界预警信号具有事件异质性,吃单订单流方差压缩是总体前兆,单次事件临界减速论断脆弱,级联多为冲击驱动的不连续转变。

AI 中文摘要

加密货币永续合约崩盘是否携带有可复现的临界转变早期预警指纹,且该指纹存在于哪个状态变量中?我们利用分钟级价格数据和5分钟级杠杆率/订单流数据,对2022-2025年的七次重大BTC清算级联(包括2025年10月10日创纪录的190亿美元事件)展开研究。对去趋势残差,我们计算滚动方差和滞后1阶自相关,并采用Kendall-tau统计量检验其在级联前的趋势,对每个变量每次事件遍历39种分析配置。不存在对所有事件均不变的变量:价格在七次事件中的五次携带临界减速特征,但在恰好两次突发新闻(关税)冲击中无此特征,这表明存在两类结构:内生累积型级联与外生冲击型级联;2025年10月的事件,其样本内分析显示特征存在于杠杆率而非价格中,属于异常值而非普遍规律。所有有数据的事件中唯一留存的规律是吃单订单流方差的压缩,该压缩通过了300次起始安慰剂检验(费舍尔组合p值约为5e-6),但它是总体层面的前兆,而非单次事件的警报。因此,加密货币衍生品中单次事件的临界减速论断本质上是脆弱的。我们认为失败模式本身具有诊断性:在去稳定机制最突兀的地方,减速现象恰好不存在,这符合以下预期:这些级联是不连续的、冲击驱动的转变,而非临界转变。

英文摘要

Do crypto perpetual-futures crashes carry a reproducible early-warning fingerprint of a critical transition, and in which state variable? We study seven major BTC liquidation cascades (2022-2025, including the record 19B USD event of 10 October 2025) using minute-level price and 5-minute leverage/order-flow data. On detrended residuals we compute rolling variance and lag-1 autocorrelation and test their pre-cascade trend with the Kendall-tau statistic, sweeping 39 analysis configurations per variable per event. No variable is event-invariant. Price carries the critical-slowing-down signature in five of seven events but is silent in exactly the two sudden-news (tariff) shocks, suggesting a two-type structure: endogenous-buildup versus exogenous-shock cascades. The October 2025 event, whose in-sample analysis suggests the signature lives in leverage rather than price, turns out to be the outlier, not the rule. The one regularity surviving all events with data is a compression of taker order-flow variance, which passes a 300-onset placebo test (Fisher-combined p ~ 5e-6) but is a population-level precursor, not a per-event alarm. Single-event critical-slowing-down claims in crypto derivatives are therefore fragile by construction. We argue the pattern of failures is itself diagnostic: slowing down is absent exactly where the destabilising mechanism is most abrupt, as one would expect if these cascades are discontinuous, shock-driven transitions rather than critical ones.

Comments13 pages, 7 figures

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