Management Science 69(11), pp. 6427-6454.
ISSN/ISBN: Not available at this time. DOI: 10.1287/mnsc.2021.02709
Abstract: We present the first systematic approach to detect fake transactions on crypto-currency 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 manipula- tion 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.
Bibtex:
@article{,
author = {Cong, Lin William and Li, Xi and Tang, Ke and Yang, Yang},
title = {Crypto Wash Trading},
journal = {Management Science},
volume = {69},
number = {11},
pages = {6427-6454},
year = {2023},
doi = {10.1287/mnsc.2021.02709},
}
Reference Type: Journal Article
Subject Area(s): Accounting, Economics