IDEAS home Printed from https://ideas.repec.org/a/eee/jbfina/v180y2025ics0378426625001499.html

Wash trading and insider sales in NFT markets

Author

Listed:
  • Wang, Shirui
  • Cheng, Nieyan
  • Zhang, Tianyang

Abstract

With the recent evolution of the cryptocurrency market, financial misconduct has become a major concern. Using on-chain data from the 500 most traded NFT (non-fungible token) collections, this study investigates wash trading in NFT markets. We first detect suspicious wash trades that form closed loops and then validate the prices of these trades using Benford’s Law. Excluding token-incentivized wash trades, we propose a conceptual model and argue that collusion between wash traders and insiders is the primary motivation of wash trading. Empirical analysis reveals that insiders tend to sell during or shortly after wash trading. This manipulation creates a pump-and-dump effect, causing losses for buyers during the pump phase. Our research reveals the underlying mechanisms of such misconduct and highlights the need for regulation in the cryptocurrency market.

Suggested Citation

  • Wang, Shirui & Cheng, Nieyan & Zhang, Tianyang, 2025. "Wash trading and insider sales in NFT markets," Journal of Banking & Finance, Elsevier, vol. 180(C).
  • Handle: RePEc:eee:jbfina:v:180:y:2025:i:c:s0378426625001499
    DOI: 10.1016/j.jbankfin.2025.107529
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378426625001499
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbankfin.2025.107529?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Mayukh Mukhopadhyay & Kaushik Ghosh, 2021. "Market Microstructure of Non Fungible Tokens," Papers 2112.03172, arXiv.org.
    2. Bao, Te & Ma, Mengzhong & Wen, Yonggang, 2023. "Herding in the non-fungible token (NFT) market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    3. Derek Liu & Francesco Piccoli & Katie Chen & Adrina Tang & Victor Fang, 2023. "NFT Wash Trading Detection," Papers 2305.01543, arXiv.org.
    4. Ali, Omar & Momin, Mujtaba & Shrestha, Anup & Das, Ronnie & Alhajj, Fadia & Dwivedi, Yogesh K., 2023. "A review of the key challenges of non-fungible tokens," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    5. Lin William Cong & Xi Li & Ke Tang & Yang Yang, 2023. "Crypto Wash Trading," Management Science, INFORMS, vol. 69(11), pages 6427-6454, November.
    6. Robert A. Jarrow, 2008. "Market Manipulation, Bubbles, Corners, and Short Squeezes," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 6, pages 105-130, World Scientific Publishing Co. Pte. Ltd..
    7. Dan Amiram & Evgeny Lyandres & Daniel Rabetti, 2025. "Trading Volume Manipulation and Competition Among Centralized Crypto Exchanges," Management Science, INFORMS, vol. 71(10), pages 8604-8622, October.
    8. Arash Aloosh & Jiasun Li, 2024. "Direct Evidence of Bitcoin Wash Trading," Management Science, INFORMS, vol. 70(12), pages 8875-8921, December.
    9. Lennart Ante, 2022. "The Non-Fungible Token (NFT) Market and Its Relationship with Bitcoin and Ethereum," FinTech, MDPI, vol. 1(3), pages 1-9, June.
    10. Matthieu Nadini & Laura Alessandretti & Flavio Di Giacinto & Mauro Martino & Luca Maria Aiello & Andrea Baronchelli, 2021. "Mapping the NFT revolution: market trends, trade networks and visual features," Papers 2106.00647, arXiv.org, revised Sep 2021.
    11. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-529.
    12. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    13. Pennec, Guénolé Le & Fiedler, Ingo & Ante, Lennart, 2021. "Wash trading at cryptocurrency exchanges," Finance Research Letters, Elsevier, vol. 43(C).
    14. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    15. Anirudh Dhawan & Tālis J Putniņš, 2023. "A New Wolf in Town? Pump-and-Dump Manipulation in Cryptocurrency Markets," Review of Finance, European Finance Association, vol. 27(3), pages 935-975.
    16. Oh, Sebeom, 2023. "Market Manipulation in NFT Markets," MPRA Paper 116704, University Library of Munich, Germany.
    17. Imisiker, Serkan & Tas, Bedri Kamil Onur, 2018. "Wash trades as a stock market manipulation tool," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 92-98.
    18. Mingxiao Song & Yunsong Liu & Agam Shah & Sudheer Chava, 2023. "Abnormal Trading Detection in the NFT Market," Papers 2306.04643, arXiv.org, revised Aug 2023.
    19. Serneels, Sven, 2023. "Detecting wash trading for nonfungible tokens," Finance Research Letters, Elsevier, vol. 52(C).
    20. Aleksandar Tošić & Jernej Vičič & Niki Hrovatin, 2025. "Beyond the surface: advanced wash-trading detection in decentralized NFT markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-21, December.
    21. Horky, Florian & Dubbick, Lili & Rhein, Franziska & Fidrmuc, Jarko, 2023. "Don't miss out on NFTs?! A sentiment-based analysis of the early NFT market," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 799-814.
    22. Gur Huberman & Werner Stanzl, 2004. "Price Manipulation and Quasi-Arbitrage," Econometrica, Econometric Society, vol. 72(4), pages 1247-1275, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Takayama, Shino, 2021. "Price manipulation, dynamic informed trading, and the uniqueness of equilibrium in sequential trading," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    2. Pirrong, Craig, 2017. "The economics of commodity market manipulation: A survey," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 1-17.
    3. Junqian Li & Yuqing Liu & Nhan Buu Phan & Shino Takayama, 2023. "An Experimental Analysis of Dynamic Informed Trading," Discussion Papers Series 665, School of Economics, University of Queensland, Australia.
    4. Shino Takayama, 2013. "Price Manipulation, Dynamic Informed Trading and Tame Equilibria: Theory and Computation," Discussion Papers Series 492, School of Economics, University of Queensland, Australia.
    5. Xihan Xiong & Zhipeng Wang & Tianxiang Cui & William Knottenbelt & Michael Huth, 2023. "Market Misconduct in Decentralized Finance (DeFi): Analysis, Regulatory Challenges and Policy Implications," Papers 2311.17715, arXiv.org, revised Nov 2024.
    6. Giambona, Erasmo & Golec, Joseph, 2010. "Strategic trading in the wrong direction by a large institutional insider," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 1-22, January.
    7. Giancarlo Corsetti & Paolo Pesenti & Nouriel Roubini, 2002. "The Role of Large Players in Currency Crises," NBER Chapters, in: Preventing Currency Crises in Emerging Markets, pages 197-268, National Bureau of Economic Research, Inc.
    8. Matthew Pritsker, 2005. "Large investors: implications for equilibrium asset, returns, shock absorption, and liquidity," Finance and Economics Discussion Series 2005-36, Board of Governors of the Federal Reserve System (U.S.).
    9. Chakraborty, Archishman & Yilmaz, Bilge, 2004. "Manipulation in market order models," Journal of Financial Markets, Elsevier, vol. 7(2), pages 187-206, February.
    10. Castillo León, Jaime & Lehar, Alfred, 2026. "What data have told us about decentralized finance," Journal of Corporate Finance, Elsevier, vol. 96(C).
    11. Allen, Franklin & Gorton, Gary, 1992. "Stock price manipulation, market microstructure and asymmetric information," European Economic Review, Elsevier, vol. 36(2-3), pages 624-630, April.
    12. Markus K. Brunnermeier & Lasse Heje Pedersen, 2005. "Predatory Trading," Journal of Finance, American Finance Association, vol. 60(4), pages 1825-1863, August.
    13. Mingxiao Song & Yunsong Liu & Agam Shah & Sudheer Chava, 2023. "Abnormal Trading Detection in the NFT Market," Papers 2306.04643, arXiv.org, revised Aug 2023.
    14. Matta, Rafael & Rocha, Sergio H. & Vaz, Paulo, 2025. "Predation by stock price manipulation," Journal of Corporate Finance, Elsevier, vol. 92(C).
    15. Guoxiao Xia & Changsheng Hu & Huosong Xia & Yangchun Chi, 2023. "Different momentum effects across countries: An explanation based on investors' behavior," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(4), pages 1141-1163, December.
    16. Khanna, Naveen & Mathews, Richmond D., 2012. "Doing battle with short sellers: The conflicted role of blockholders in bear raids," Journal of Financial Economics, Elsevier, vol. 106(2), pages 229-246.
    17. Archishman Chakraborty & Bilge Yilmaz, "undated". "Nested Information and Manipulation in Financial Markets," Rodney L. White Center for Financial Research Working Papers 6-00, Wharton School Rodney L. White Center for Financial Research.
    18. Carol Osler & Alasdair Turnbull, 2016. "Dealer Trading at the Fix," Working Papers 101R, Brandeis University, Department of Economics and International Business School, revised Jun 2017.
    19. Shino Takayama, 2018. "Price Manipulation, Dynamic Informed Trading and Tame Equilibria: Theory and Computation," Discussion Papers Series 603, School of Economics, University of Queensland, Australia.
    20. Junfeng Qiu & Yongli Zhang, 2013. "Effect of Short-sale Constraints on Stock Price Manipulation," Pacific Economic Review, Wiley Blackwell, vol. 18(2), pages 208-232, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G19 - Financial Economics - - General Financial Markets - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbfina:v:180:y:2025:i:c:s0378426625001499. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbf .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.