Do Token Transfers Prove That an RWA Is Liquid?
A research paper posted on October 5, 2026 examines Ethereum-based tokenized funds from December 2025 to August 2026 and finds that transfer classifications can materially change turnover measures. Its central point is narrow but useful: a blockchain transfer is evidence of movement, not proof of a trade or market liquidity.
TL;DR — Key Takeaways
- ✓Sample: The study covers Ethereum tokenized funds from December 2025 through August 2026.
- ✓Turnover: Minting, burning and issuer operations can inflate transfer-based activity.
- ✓Ownership: Pool and intermediary addresses can distort concentration measures.
- ✓Limit: The authors say their measures inform liquidity analysis but do not directly measure liquidity.
A Blockchain Transfer Can Have Several Economic Meanings
The study argues that transfers may represent new issuance, redemptions, issuer operations or movements between intermediary addresses, as well as investor trades. Counting them all as equivalent activity can overstate how often an asset changes hands in a market.
The authors analyze Ethereum-based tokenized funds over a defined period from December 2025 to August 2026. They compare transfer turnover before and after observable event categories are separated, using the same asset, time window and supply denominator.
The paper finds that transfer classification can materially change measured turnover for tokenized funds.
— Atay Tümer and Mafrur, arXiv preprint, October 5, 2026
That is a measurement warning, not a claim that all transfer data is useless.
Minting and Redemption Can Inflate Apparent Turnover
If an index treats every token movement as secondary trading, primary issuance and redemption activity can appear as investor turnover. A high on-chain transfer ratio may therefore reflect product flows rather than a deep two-sided market.
The distinction matters when comparing tokenized funds with exchange-traded securities. The underlying datasets may count different events, so the ratio is not comparable unless the numerator and supply denominator use consistent definitions.
For a market dashboard example, Dune’s market comparison distinguishes distributed value from represented value, another reminder to inspect the measure behind a headline.
Intermediary Addresses Complicate Holder Concentration
A large address balance may belong to a pool or intermediary that represents many beneficial owners. The study compares concentration against total supply with concentration among addresses that remain after identified intermediaries are excluded.
Those denominators answer different questions. Excluding an intermediary can lower concentration measured against total supply while increasing concentration among the remaining addresses. Neither figure alone reveals how many distinct investors sit behind a pooled address.
The authors conclude that transfer functions and ownership coverage must accompany turnover and concentration measures.
— Study abstract and paper
This is especially relevant for funds distributed through omnibus custody or pooled liquidity contracts.
The Study Does Not Directly Measure Market Liquidity
The authors explicitly say their metrics provide evidence about liquidity-related activity but do not directly measure market liquidity. They do not replace order-book depth, bid-ask spreads, redemption timing or transaction-size analysis.
The paper is a preprint posted to arXiv, so its findings should be treated as research evidence subject to further review. Its public code and data make the measurement approach inspectable, but do not automatically validate every classification.
For another view of the usage gap, read how trade-size splits shape tokenized-equity holder economics. Together, the two analyses show why supply, transfers and liquidity need separate metrics.
Frequently Asked Questions
What does the study say about RWA liquidity?
It says transfer counts and address balances need context because they can include minting, burning, issuer operations and intermediaries rather than investor trades.
What assets did the researchers analyze?
The paper analyzes Ethereum-based tokenized funds from December 2025 through August 2026.
Does the paper prove these funds are illiquid?
No. It shows that common on-chain measures can be misleading; it does not provide a complete measurement of market liquidity.
How can transfer turnover be improved?
Researchers can classify observable transaction functions and compare turnover over the same window with the same supply denominator.
Is the research peer reviewed?
The paper was posted to arXiv on October 5, 2026. The arXiv posting is a public preprint and should not be presented as peer-reviewed confirmation.