{"title":"Wash trading and insider sales in NFT markets","authors":"Shirui Wang , Nieyan Cheng , Tianyang Zhang","doi":"10.1016/j.jbankfin.2025.107529","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"180 ","pages":"Article 107529"},"PeriodicalIF":3.8000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Banking & Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378426625001499","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The Journal of Banking and Finance (JBF) publishes theoretical and empirical research papers spanning all the major research fields in finance and banking. The aim of the Journal of Banking and Finance is to provide an outlet for the increasing flow of scholarly research concerning financial institutions and the money and capital markets within which they function. The Journal''s emphasis is on theoretical developments and their implementation, empirical, applied, and policy-oriented research in banking and other domestic and international financial institutions and markets. The Journal''s purpose is to improve communications between, and within, the academic and other research communities and policymakers and operational decision makers at financial institutions - private and public, national and international, and their regulators. The Journal is one of the largest Finance journals, with approximately 1500 new submissions per year, mainly in the following areas: Asset Management; Asset Pricing; Banking (Efficiency, Regulation, Risk Management, Solvency); Behavioural Finance; Capital Structure; Corporate Finance; Corporate Governance; Derivative Pricing and Hedging; Distribution Forecasting with Financial Applications; Entrepreneurial Finance; Empirical Finance; Financial Economics; Financial Markets (Alternative, Bonds, Currency, Commodity, Derivatives, Equity, Energy, Real Estate); FinTech; Fund Management; General Equilibrium Models; High-Frequency Trading; Intermediation; International Finance; Hedge Funds; Investments; Liquidity; Market Efficiency; Market Microstructure; Mergers and Acquisitions; Networks; Performance Analysis; Political Risk; Portfolio Optimization; Regulation of Financial Markets and Institutions; Risk Management and Analysis; Systemic Risk; Term Structure Models; Venture Capital.