Researchers at Columbia University revealed that up to 25% of all trading volume on Polymarket, a leading blockchain-based prediction market, may be artificially inflated through wash trading.
Led by Yash Kanoria of Columbia Business School and Rajiv Sethi from Barnard College, the study applied network analysis techniques to identify suspicious trading patterns. Wallets frequently transacting with each other but rarely engaging with external accounts were flagged as part of coordinated volume inflation.
Polymarket's reported trading volumes have been distorted by repeated transactions between related accounts.
The high rate of wash trading raises concerns about the reliability of prediction markets as indicators of public sentiment and market expectations.
As Polymarket contemplates re-entry under CFTC regulation, scrutiny intensifies due to these findings and claims that nearly half of its trading may be artificial.
Author's summary: Columbia University research uncovers that wash trading inflates Polymarket's volume by around 25%, challenging the trustworthiness of its prediction markets and raising regulatory concerns.