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.

V-shapes

Flora, Maria;Reno, Roberto
2025-01-01

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.
2025
Price reversals
Flash crashes
Market violations
Algorithmic trading
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1192653
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