Crypto Wash Trading

【Author】 Cong, Lin William; Li, Xi; Tang, Ke; Yang, Yang

【Source】MANAGEMENT SCIENCE

【影响因子】6.172

【Abstract】We present the first systematic approach to detect fake transactions on cryptocurrency exchanges by exploiting robust statistical and behavioral regularities associated with authentic trading. Our sample consists of 29 centralized exchanges, among which the regulated ones feature transaction patterns consistently observed in financial markets and nature. In contrast, unregulated exchanges display abnormal first significant digit distributions, size rounding, and transaction tail distributions, indicating widespread manipulation unlikely driven by a specific trading strategy or exchange heterogeneity. We then quantify the wash trading on each unregulated exchange, which averaged more than 70% of the reported volume. We further document how these fabricated volumes (trillions of dollars annually) improve exchange ranking, temporarily distort prices, and relate to exchange characteristics (e.g., age and user base), market conditions, and regulation. Overall, our study cautions against potential market manipulations on centralized crypto exchanges with concentrated power and limited disclosure requirements and highlights the importance of fintech regulation.

【Keywords】Bitcoin; CeFi; cryptocurrency; forensic finance; fraud detection; regulation

【发表时间】2023 2023 SEP 19

【收录时间】2023-10-23

【文献类型】实验仿真

【主题类别】

区块链治理-技术治理-异常/非法交易识别