Cointelegraph reported that a Dune Analytics study found tokenized assets do not always mirror the performance of their corresponding traditional market instruments. The analysis examined several on-chain products and identified measurable differences in returns and volatility patterns. These differences appeared across tokenized treasuries and other real-world asset representations. The findings prompt closer examination of how on-chain mechanisms interact with off-chain reference data.

Dune Analytics provides on-chain data dashboards used by analysts and institutions to track blockchain activity. The firm aggregates public ledger information across multiple networks and presents it in queryable formats. Its reports often serve as reference material for developers and market participants evaluating protocol usage. In this instance the firm applied that methodology to tokenized asset cohorts.

Tokenization Mechanics and Reference Data

Tokenized assets typically rely on oracles or administrators to import prices or yields from traditional markets into smart contracts. When those feeds update at different intervals or use distinct calculation methods, the on-chain representation can drift. Dune examined whether such drift produced sustained divergence rather than temporary noise. The report indicates that divergence can persist beyond short-term latency effects.

Products such as BlackRock’s BUIDL and Ondo’s OUSG maintain reserves in cash or short-term government securities while issuing blockchain tokens. Settlement occurs on-chain yet the economic exposure remains tied to off-chain holdings. Any mismatch in timing, fee accrual, or valuation methodology can create observable differences in reported performance. Dune’s methodology compared on-chain token prices against published net asset values of the underlying instruments.

Market Implications of Observed Divergence

Persistent divergence affects participants who use tokenized products for hedging or benchmarking purposes. Portfolio managers relying on on-chain data for real-time risk calculations may encounter discrepancies that require manual reconciliation. Secondary market liquidity providers could also face basis risk when arbitrage between on-chain and traditional venues proves slower than expected. Over time these frictions may influence product design choices around oracle selection and update frequency.

The broader tokenization market includes platforms operated by Securitize, Backed Finance, and Centrifuge that bring private credit, equities, and funds on-chain. Each implementation selects different data sources and governance processes. When performance tracking deviates, it can affect investor confidence in the accuracy of on-chain records relative to audited off-chain statements. Dune’s findings therefore touch on infrastructure assumptions shared across multiple issuers.

Comparison With Earlier Tracking Studies

Prior analyses of stablecoins and tokenized money market funds have focused primarily on peg stability rather than return replication. Those studies typically measured deviation from a fixed value such as one dollar. The Dune report instead compares total returns and volatility between tokenized versions and their traditional benchmarks. This approach highlights a different class of tracking error that arises from operational and data-layer choices.

Franklin Templeton and Apollo have also launched tokenized vehicles that reference traditional fixed-income portfolios. Their structures similarly depend on periodic valuation updates from custodians or administrators. Earlier market commentary noted occasional delays in reflecting interest accruals or corporate actions. Dune’s broader sample suggests such issues are not isolated to single issuers but appear across several tokenized asset classes.

Assets Reviewed

Multiple RWA Products

Networks Covered

Several Blockchains

Key Observation

Return Divergence Present

Tokenized assets don’t always mirror traditional markets.

Regulatory and Infrastructure Considerations

Regulators including the SEC and MAS have emphasized the importance of accurate valuation and disclosure for tokenized securities. Divergence between on-chain prices and reference values could trigger questions about whether investors receive equivalent economic exposure. Issuers may need to enhance disclosure around data latency, fee structures, and reconciliation procedures. Such measures would align with existing expectations for traditional fund reporting.

Chainlink and other oracle providers supply price and yield data to many tokenized products. The Dune findings may prompt these providers to review update cadences or introduce additional verification layers. Institutional participants such as JPMorgan have explored permissioned ledgers partly to control data quality. Wider adoption of such controlled environments could reduce but not eliminate divergence risks.

Market participants should monitor forthcoming updates to oracle contracts and changes in administrator reporting schedules. They should also watch for any issuer statements addressing the Dune observations. Continued publication of on-chain versus off-chain performance comparisons will help clarify whether the identified divergence narrows or persists as market infrastructure matures.

→ The takeaway

The Dune analysis underscores that tokenization does not automatically guarantee identical performance outcomes to traditional instruments. Data handling, update timing, and structural differences can produce measurable tracking differences. Market participants evaluating tokenized products should incorporate these factors into due diligence and operational planning. Ongoing monitoring of both on-chain metrics and off-chain reference data remains necessary for accurate assessment of real-world asset representations.