Unravelling the JPMorgan spoofing case using particle physics visualization methods

0Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Debie, P., Gardebroek, C., Hageboeck, S., van Leeuwen, P., Moneta, L., Naumann, A., … Verhulst, M. E. (2023). Unravelling the JPMorgan spoofing case using particle physics visualization methods. European Financial Management, 29(1), 288–326. https://doi.org/10.1111/eufm.12353

Readers over time

‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

67%

Researcher 1

33%

Readers' Discipline

Tooltip

Computer Science 1

33%

Economics, Econometrics and Finance 1

33%

Psychology 1

33%

Save time finding and organizing research with Mendeley

Sign up for free
0