Unravelling the JPMorgan spoofing case using particle physics visualization methods
Autor: | Philippe Debie, Cornelis Gardebroek, Stephan Hageboeck, Paul van Leeuwen, Lorenzo Moneta, Axel Naumann, Joost M. E. Pennings, Andres A. Trujillo‐Barrera, Marjolein E. Verhulst |
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Přispěvatelé: | Finance, Marketing & Supply Chain Management, RS: GSBE other - not theme-related research, RS: GSBE MORSE |
Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: |
Datawetenschap
Informatiemanagement & Projectmanagement Organisatie Marketing and Consumer Behaviour Data Science high-frequency trading Agrarische Economie en Plattelandsbeleid Data Science Information Management & Projectmanagement Organisation WASS Datawetenschap spoofing Innovation- and Risk Management and Information Governance Informatiemanagement & Projectmanagement Organisatie MANIPULATION Accounting Agricultural Economics and Rural Policy Consument & Keten ORDER BOOK Marktkunde en Consumentengedrag particle physics Consumer and Chain Data Analysis and Statistics General Economics Econometrics and Finance visualization Information Management & Projectmanagement Organisation limit order book |
Zdroj: | European financial management 29 (2023) 1 European financial management, 29(1), 288-326 European Financial Management, 29(1), 288-326. Wiley-Blackwell |
ISSN: | 1354-7798 |
Popis: | 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. |
Databáze: | OpenAIRE |
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