When the Event Zero Is Wrong: Anchor Misplacement, Peak Leverage, and Spurious Amplification in Liquidation Event Studies

Event studies of liquidation cascades locate their event zero using a rule applied to the data, usually its peak day and hour. On two Hyperliquid cascades, a zero-transaction-hash heuristic, which in fact tags time-weighted average price (TWAP) executions, feeds that rule and places the zero five hours late in one event and a day early in the other. In the mislocated windows, a two-way fixed-effects liquidation × event interaction is +1.44 and +0.48, both significant under Driscoll–Kraay errors; correctly located, on the same rows, it is a null and a negative estimate resting on one coin-minute. Because the coefficient is a difference of slopes, the peak hour, carrying 78–93% of the window’s liquidations at a low slope, pulls down whichever side contains it: every placebo window containing the peak returns a negative interaction and most excluding it a positive one. These counts are nested views of two price paths, not independent evidence. Rebuilt panels, a high–low spread proxy, and a wild cluster bootstrap over nine coins preserve the sign pattern but not every significance level. The event zero must therefore be verified against a native label before estimation; window sweeps and peak deletion do not substitute for that check.

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Publication Details

Journal
Journal of risk and financial management
Published
2026-10-15
DOI
https://doi.org/10.3390/jrfm19100815
Primary Topic
Financial Markets and Investment Strategies
Type
article
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article

When the Event Zero Is Wrong: Anchor Misplacement, Peak Leverage, and Spurious Amplification in Liquidation Event Studies

Yan Luo
Journal of risk and financial management
Financial Markets and Investment Strategies
article

When the Event Zero Is Wrong: Anchor Misplacement, Peak Leverage, and Spurious Amplification in Liquidation Event Studies

Yan Luo
article en

Abstract

Event studies of liquidation cascades locate their event zero using a rule applied to the data, usually its peak day and hour. On two Hyperliquid cascades, a zero-transaction-hash heuristic, which in fact tags time-weighted average price (TWAP) executions, feeds that rule and places the zero five hours late in one event and a day early in the other. In the mislocated windows, a two-way fixed-effects liquidation × event interaction is +1.44 and +0.48, both significant under Driscoll–Kraay errors; correctly located, on the same rows, it is a null and a negative estimate resting on one coin-minute. Because the coefficient is a difference of slopes, the peak hour, carrying 78–93% of the window’s liquidations at a low slope, pulls down whichever side contains it: every placebo window containing the peak returns a negative interaction and most excluding it a positive one. These counts are nested views of two price paths, not independent evidence. Rebuilt panels, a high–low spread proxy, and a wild cluster bootstrap over nine coins preserve the sign pattern but not every significance level. The event zero must therefore be verified against a native label before estimation; window sweeps and peak deletion do not substitute for that check.

Journal of risk and financial managementVol. 19(10)
Openalex Percentile: Top 8%
Financial Markets and Investment Strategies
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