Unravelling the JPMorgan spoofing case using particle physics visualization methods

Philippe Debie, Cornelis Gardebroek, Stephan Hageboeck, Paul van Leeuwen, Lorenzo Moneta, Axel Naumann, Joost M.E. Pennings, Andres A. Trujillo-Barrera, Marjolein E. Verhulst*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

On 29 September 2020, JPMorgan was ordered to pay a settlement of $920.2 million for spoofing the metals and Treasury futures markets from 2008 to 2016. We examine these cases using a visualization method developed in particle physics (CERN) and the messages that the exchange receives about market activity rather than time-based snapshots. This approach allows to examine multiple indicators related to market manipulation and complement existing research methods, thereby enhancing the identification and understanding of, as well as the motivation for, market manipulation. In the JPMorgan cases, we offer an alternative motivation for spoofing than moving the price.

Original languageEnglish
JournalEuropean financial management
DOIs
Publication statusE-pub ahead of print - 24 Jan 2022

Keywords

  • high-frequency trading
  • limit order book
  • particle physics
  • spoofing
  • visualization

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