Crypto wash trading

Cong, W. L., Li, X. ORCID: https://orcid.org/0000-0003-1034-4539, Tang, K. and Yang, Y. (2023) Crypto wash trading. Management Science, 69 (11). pp. 6427-6454. ISSN 1526-5501 doi: 10.1287/mnsc.2021.02709

Abstract/Summary

We present a 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 specific trading strategy or exchange heterogeneity. We then quantify the wash trading on each unregulated exchange, which averaged over 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.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/113166
Identification Number/DOI	10.1287/mnsc.2021.02709
Refereed	Yes
Divisions	Henley Business School > Finance and Accounting
Publisher	INFORMS
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