Tristero warns tokenized RWAs may turn slow loans into fast market crashes as liquidity mismatches spread on-chain.
The rapid growth of tokenized real-world assets is raising concerns that liquidity mismatches could trigger sudden market disruptions. A recent report from Tristero Research cautions that while tokenization increases trading speed and accessibility, it also introduces a structural weakness. Illiquid loans, real estate, and commodities are being linked to fast-moving blockchain markets, creating what the group calls the “RWA Liquidity Paradox.”
Growth of Tokenized Assets and Market Adoption
According to Tristero, tokenized real-world assets have expanded from $85 million in 2020 to $25 billion in 2025. This represents an increase of over 200 times in just five years. Institutions are driving adoption as they seek higher yields, greater transparency, and more efficient balance sheet management.
Tristero Research warns that tokenizing RWAs like loans, real estate, and commodities creates a “liquidity paradox.” While packaged as 24/7 tradable tokens, these slow, illiquid assets could amplify risks in crises—defaults and valuation shifts might trigger rapid liquidations…
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BlackRock, Figure Technologies, and several global real estate projects have issued tokenized assets, with markets ranging from Treasuries to private loans. Analysts predict that trillions of dollars in assets could eventually be moved onto blockchain networks. For many investors, this represents a bridge between traditional finance and decentralized finance.
Tristero’s report warns, however, that the promise of liquidity may be misleading. The core assets remain bound by slow legal and operational processes, while their digital tokens can trade instantly. This mismatch could create conditions where market stress spreads much faster than the real economy can adjust.
Liquidity Risks and Systemic Vulnerabilities
Tristero Research compares today’s tokenization trend to the financial structures that fueled the 2008 crisis. Subprime mortgages then were slow-moving assets, but their derivatives collapsed quickly, spreading risk across the global system. The report warns that tokenized loans, properties, and commodities may face similar dynamics.
One example describes tokenized commercial property held through a Special Purpose Vehicle. The legal transfer of the underlying building may take weeks, yet the token can change hands hundreds of times in one day. If doubts arise about the asset’s value, token markets can collapse before the real-world process reflects any change.
The report also outlines scenarios where tokenized private credit or real estate could experience sudden crashes. In one case, slow defaults in a loan book collide with automated liquidations on decentralized exchanges. In another, a custodial breach combined with natural disaster causes token values to fall instantly, creating losses across lending platforms.
Emerging Risks from Derivatives and “RWA-Squared” Products
The report warns that the next stage of growth will involve more complex products built on top of tokenized assets. These “RWA-squared” instruments could include indices, tranches, and synthetic derivatives linked to baskets of tokenized credit and property. Each new layer may increase system fragility, as risks become tied to blockchain infrastructure rather than the assets themselves.
Tristero notes that diversification across asset classes may not prevent systemic shocks. If a major oracle, stablecoin, or lending protocol fails, all tokenized derivatives linked to it could suffer at once. The report states, “A token backed by real estate in New Jersey and SME loans in Singapore can be repackaged into a single yield product, but they all share the same reliance on DeFi rails.”
The group recommends more cautious design, with stronger oracles, stricter collateral rules, and circuit breakers to slow liquidation cycles. Without such safeguards, tokenized markets risk transmitting stress in minutes rather than months. As Tristero concludes, the liquidity paradox could turn slow-moving real-world defaults into instant on-chain crises.
