V-shapes

We present a methodology for detecting flash crashes by identifying short-term V-shaped price reversals. Our approach, based on drift burst test statistics, aligns with the SEC’s forensic definition of market access rule violations, highlighting its potential as a market surveillance tool. Flash crashes have become more frequent over the past decade and are typically accompanied by high volumes, high volatility, and an increase in odd-lot trades. They are more likely to occur following periods of high volumes, elevated price impact, low volatility, and heightened algorithmic activity.

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Publication Details

Journal
Journal of Banking & Finance
Published
2025-08-08
DOI
https://doi.org/10.1016/j.jbankfin.2025.107521
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

V-shapes

Roberto Renò, Maria Flora
Journal of Banking & Finance
Complex Systems and Time Series Analysis
article

V-shapes

Roberto Renò, Maria Flora
article en

Abstract

We present a methodology for detecting flash crashes by identifying short-term V-shaped price reversals. Our approach, based on drift burst test statistics, aligns with the SEC’s forensic definition of market access rule violations, highlighting its potential as a market surveillance tool. Flash crashes have become more frequent over the past decade and are typically accompanied by high volumes, high volatility, and an increase in odd-lot trades. They are more likely to occur following periods of high volumes, elevated price impact, low volatility, and heightened algorithmic activity.

Journal of Banking & FinanceVol. 179
University of Verona (IT), École Supérieure des Sciences Économiques et Commerciales (FR), Capital Fund Management (France) (FR)
Openalex Percentile: Top 71%
Complex Systems and Time Series Analysis
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