Cryptocurrency Pump-and-Dump Schemes

Abstract We document numerous occurrences of pump-and-dump schemes (P&Ds) targeting cryptocurrencies, which tend to trigger short-term episodes that feature dramatic increases in prices, volume, and volatility, followed by quick reversals. The evidence we document, including price run-ups before P&Ds start, suggests wealth transfers from outsiders to insiders. Our findings based on wallet-level data are consistent with the reasoning that gambling preferences, overconfidence, and naïve reinforcement learning help explain P&D participation. Finally, exploiting two natural experiments in which exchanges altered P&D policies, we find evidence consistent with the idea that P&Ds contribute to reduced cryptocurrency liquidity and lower prices.

Authors

Institutions

Publication Details

Journal
Journal of Financial and Quantitative Analysis
Published
2025-04-04
DOI
https://doi.org/10.1017/s0022109025000201
Citations
15
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
15.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cryptocurrency Pump-and-Dump Schemes

Donghwa Shin, Tao Li, Baolian Wang
15 citations
Journal of Financial and Quantitative Analysis
Chaos-based Image/Signal Encryption
15.31
article

Cryptocurrency Pump-and-Dump Schemes

Donghwa Shin, Tao Li, Baolian Wang
article en
15 citations

Abstract

Abstract We document numerous occurrences of pump-and-dump schemes (P&Ds) targeting cryptocurrencies, which tend to trigger short-term episodes that feature dramatic increases in prices, volume, and volatility, followed by quick reversals. The evidence we document, including price run-ups before P&Ds start, suggests wealth transfers from outsiders to insiders. Our findings based on wallet-level data are consistent with the reasoning that gambling preferences, overconfidence, and naïve reinforcement learning help explain P&D participation. Finally, exploiting two natural experiments in which exchanges altered P&D policies, we find evidence consistent with the idea that P&Ds contribute to reduced cryptocurrency liquidity and lower prices.

Journal of Financial and Quantitative AnalysisVol. 60(8)
University of North Carolina at Chapel Hill (US), University of Florida (US)
Openalex Percentile: Top 1%
Chaos-based Image/Signal Encryption
15.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cryptocurrency Pump-and-Dump Schemes — Donghwa Shin, Tao Li, et al. · Journal of Financial and Quantitative Analysis (2025) | TGRS Research Map | TGRS