Algorithmic Market Manipulation is a form of market abuse wherein automated trading algorithms are systematically designed or deployed to distort market conditions by generating deceptive trading patterns, such as spoofing or layering, thereby exploiting informational and technological advantages to mislead other market participants and artificially influence asset prices.
75
Publications
4.3K
Citations
183
Authors
140
Institutions
Publications per year
2017–2026
44
Parents
Publications
75
Price manipulation in the Bitcoin ecosystem
Neil Gandal, JT Hamrick, Tyler Moore et al. · Journal of Monetary Economics · 2018 · 739 citations
High-Frequency Trading on Decentralized On-Chain Exchanges
Liyi Zhou, Kaihua Qin, Christof Ferreira Torres et al. · 2021 · 163 citations
1–5 of 75
Authors
183
- KQ
3
h-index
- CF
3
h-index
- DV
3
h-index
- AG
3
h-index
- JD
2
h-index
1–5 of 183
Institutions
140
European Corporate Governance Institute
Brussels, Belgium
3 h-index
3 publications
54 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
6 publications
192 citations
Fudan University
Shanghai, China
2 h-index
6 publications
210 citations
Florida Atlantic University
Boca Raton, United States
2 h-index
2 publications
81 citations
Universität Hamburg
Hamburg, Germany
2 h-index
4 publications
98 citations
University of Alberta
Edmonton, Canada
2 h-index
4 publications
206 citations
Hanyang University
Seoul, South Korea
2 h-index
3 publications
255 citations
New York University
New York, United States
2 h-index
2 publications
183 citations
1–8 of 140
Venues
- SSRN Electronic Journal
Repository · 9 publications · 432 citations
9
h-index
- Journal of Banking & Finance
2 publications · 99 citations
2
h-index
- Journal of Financial Economics
2 publications · 205 citations
2
h-index
- Expert Systems with Applications
2 publications · 119 citations
2
h-index
- Management Science
1 publications · 58 citations
1
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1–5