arrow
Return

V-shapes

delete2025-08-07
delete0
delete
OA
AI
M
Maria Flora
R
Roberto Renò *
DOI:10.1016/j.jbankfin.2025.107521delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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.
Keywords:
G14
G12
C58
Price reversals
Flash crashes
Market violations
Algorithmic trading
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

J
Journal of Banking and Finance
IF:
3.8
Papers:
6.4K
Citations:
2.4W

Organization

C
capital fund management
Scholars:
3
Papers: 3
Citations: 0
E
ESSEC Business School
Scholars:
439
Papers: 753
Citations: 1