Written by: Dewhales

Introduction

Institutional tokenization has become a consensus trade in this cycle, with the market narrative showing a high degree of consistency. Traditional financial giants have finally entered the arena, and their arrival is often seen as a validation of legitimacy. This type of narrative packages promises of increased liquidity and democratized access in advance. When institutions like BlackRock appear in the market, the underlying logic is that market credibility will shift accordingly.

Upgrades to underlying infrastructure are genuinely occurring. Tokenization indeed reduces settlement friction, broadens access channels, and introduces composability advantages. Traditional markets struggle to replicate this composability. The real question worth discussing is not whether these positives exist. Rather, it is what else comes along with the migration of assets to the chain.

In this context, tokenization is also a mechanism for channel distribution expansion. As this article will explore, DeFi protocols and their participants are increasingly taking on credit risk exposure. These risks stem from the traditional financial system, and market participants often lack the necessary assessment tools or information disclosure to accurately assess the substantive risks of the assets they hold.

The Logic of Institutional Narratives Shaping Asset Perception

Asset packaging does not change the underlying substance. Private credit with low liquidity after being tokenized remains fundamentally a low liquidity asset, merely with purchasing thresholds opened to a broader pool of capital. These buyers may not realize their true risk characteristics. Institutional brand endorsements may compress due diligence processes. When an asset is labeled with a well-known institution's name, quality issues may sometimes no longer be rigorously scrutinized. This market dynamic, combined with the ongoing rise in private credit pressure within the traditional financial system, makes the timing of the current wave of tokenization impossible to ignore.

This trend is also reflected in the iterative logic of platform product lines. Some platforms that have built their market reputation on tokenized government bonds are now beginning to expand into high-yield, short-duration credit products. The HYBOND launched by OpenEden (scheduled for April 2026) is a typical case of this transformation. The migration towards the higher end of the credit risk curve is quietly occurring. This is precisely why it warrants market caution.

The structural feature of the issue lies in that the tokenization wrapper inherits the inherent opacity of the underlying asset but presents the transparency characteristics of blockchain. When a private credit loan is tokenized into an ERC-20 token, investors gain conveniences like on-chain settlement, verifiable transfer records, and real-time updates of net asset values. However, this information does not reveal the borrower's leverage levels, the structure of contractual terms, or the status of debt coverage ratios. The core data that truly determines credit quality remains off-chain. Such information is selectively disclosed and usually only available to those qualified investors who have passed KYC checks before the token minting.

When products delve into the market of underlying assets with scant liquidity, the importance of this characteristic becomes even more pronounced. U.S. Treasury bonds have deep secondary market liquidity, supporting a continuous market value pricing mechanism. However, the short-term high-yield credit market presents a vastly different picture. When trading frequency of underlying assets is sparse, net asset values become mere outputs of models rather than real market prices. Model-based pricing often maintains superficial stability until a sudden collapse occurs. This represents a significant structural vulnerability for the DeFi ecosystem built around on-chain oracles as the authoritative source of price truth. The net asset value data stream for private credit tokens does not provide genuine oracle signals. It is essentially an electronic spreadsheet controlled by the loan seller. DeFi participants using these tokens as collateral are, in reality, pricing risks they cannot observe. Stress events for such assets often have high correlation, and redemption queues can form rapidly in a short period.

The Evolutionary Trends of Subordinated Tiers and the Positioning of DeFi

Structural tranching, as one of the oldest risk distribution tools in traditional finance (TradFi), operates on the logic that senior debt tiers have the first repayment rights, yield relatively lower return, and benefit from the protective buffer of the subordinated layers beneath. Subordinated debt tiers absorb first losses, earning corresponding yield spread premiums, and serve as the first positions to be marked down in stress scenarios. This structural design has been applied in collateralized loan obligations (CLO), commercial mortgage-backed securities (CMBS), and asset-backed securities (ABS) markets for decades. The fundamental reason is that this mechanism can efficiently transfer risk to the parties most willing to hold that risk, or to those least equipped to price that risk.

The current market evolutionary trend follows the same logic. Traditional financial institutions initiate and construct trades, retaining positions in the senior tier with predictable coupon income while distributing the subordinated tier to any market area where demand exists. This tier of capital is increasingly directed towards DeFi. Within this domain, yield-hungry participants often focus solely on superficial yield levels, failing to see their actual position in the repayment hierarchy. First loss capital occupies a specific and significantly risky position within the overall credit structure. Understanding the essence of this position requires a deep grasp of key parameters such as the composition of underlying asset pools, default correlation assumptions, and recovery rate expectations. However, more and more DeFi participants are entering this position while lacking a clear understanding of it.

Demand for buyers of subordinated tiers in traditional markets has not disappeared. Instead, it has found a new pool of capital. Yet the risk assessment framework for this pool is still under construction.

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A common structure emerging in the tokenized private credit market reveals how this mechanism operates in practice. Whitelisted liquidity providers (LPs) deposit tokenized private credit certificates as collateral into lending protocols, borrowing stablecoins based on the current loan-to-value (LTV) ratio, and redeploying that capital back into the same product, thereby amplifying their net exposure to the underlying asset portfolio. This circular structure possesses capital efficiency advantages in calm market environments, and the yield enhancement effects are indeed real. However, the structural feature of the problem lies in the chain reaction produced when this leverage is applied to illiquid underlying assets. When private credit assets come under pressure, the marking of net asset values often reflects this change slowly, until a sudden large adjustment occurs. Redemption queues may already form before the price discovery mechanism is completed. Leveraged positions happen to face margin call pressure precisely at the moment of exiting liquidity exhaustion.

Examining Claims About Liquidity, Transparency, and Capital Efficiency

Liquidity Landscape

Tokenization of private loans does not automatically confer liquidity. The secondary market created by this operation typically runs smoothly during calm periods but shrinks rapidly under pressure. While a secondary market exists, whether it can fulfill its liquidity function at critical moments is another issue. Liquidity in structured credit remains a “fair-weather concept”. In traditional finance, the secondary market for private credit instruments drastically shrinks in risk-averse environments, and tokenization has not changed this fundamental dynamic. What has changed is simply who the ultimate holder of the asset is when a crisis strikes.

In March 2026, Midas raised $50 million specifically to address a redemption crisis and established a special fund pool to support immediate redemptions. Without this fund pool, investors were lining up to withdraw. A platform managing $1.7 billion in assets needed to establish a dedicated liquidity mechanism just two years after launching, which warrants reflection. It reflects the geometrical value that tokenization provides in actual applications.

Transparency Dimension

On-chain transparency and asset transparency are not the same dimension. The token address visible on Etherscan can only demonstrate that the smart contract is functioning normally, but it cannot disclose the health of the underlying borrower.

GAIB directly encountered this dilemma. Concerns about the strength of collateral support surfaced shortly after the launch. In November 2025, the CEO had to publicly respond to inquiries about Proof of Reserves. The smart contract architecture is considered sophisticated, yet the verification level of the underlying assets has not matched it.

OnRe took a differentiated path by introducing third-party asset net worth proof through Apex and achieving on-chain verification through Accountable. OnRe does not regard this infrastructure as a competitive differentiating selling point but views it as a baseline standard that any asset used as DeFi collateral must meet. If borrower information had been fully disclosed from the beginning, tokenization would have indeed made breakthroughs in improving the opacity of traditional finance. This improvement holds substantial value for DeFi participants trying to assess position risks.

Capital Efficiency Dimension

Tokenization reduces settlement friction costs, but efficiency gains are not evenly distributed across the entire structure. For issuers, the operational improvements from moving assets off the balance sheet are immediate, and distribution channels are significantly broadened. For buyers, while the improvement in settlement efficiency is real, the risks associated with the underlying assets have not diminished at all.

The most resilient use case is using tokenized government bonds as native collateral for DeFi. The underlying assets have ample liquidity and ongoing pricing, the yield is traceable and verifiable, and the composability with lending protocols creates structural rather than superficial capital efficiency.

OnRe's ONyc token demonstrates the proper form of true expansion. The yield from this token comes from re-insurance underwriting premiums, an asset class that is independent of crypto market volatility and decoupled from traditional financial credit cycles. Re-insurance in its traditional model relies on direct underwriting relationships or large minimum subscription commitments. Tokenization dissolves these two barriers but does not change the nature of the underlying assets. This distinction is the boundary that the current market has failed to clarify. Specifically, it relates to whether tokenization is indeed broadening access to sound assets or expanding distribution channels for distressed assets.

Conclusion

As a tool, tokenization's value landscape entirely depends on its end application goals.

Tokenization introduces a core capability that is difficult for traditional finance (TradFi) to replicate: composability. Under the conditions where the quality of underlying assets is robust and the information disclosure infrastructure is well-developed, this technology can truly widen access channels to asset classes that were previously hard to reach.

However, the current wave of tokenization has not yet fully exhibited this ideal scenario. Pressure in the private credit sector of traditional markets continues to rise, and tokenization has become an efficient risk distribution mechanism, channeling risk exposure into a broader capital pool. Yet this capital pool is still learning how to price risk. Differences in the technical route versions are often not clear from external observation. While smart contracts have been audited, the borrower qualification review may not necessarily be synchronized.

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