Let the Safest Assets Bear Losses First? A Counterintuitive New Approach to On-Chain Distribution
Allow assets to be used as collateral in as many places as possible while minimizing the risk for lenders.
Written by: Blockworks Advisory
Compiled by: AididiaoJP, Foresight News
In most structured products, the safest assets are at the front of the repayment order. Priority holders receive lower returns in exchange for principal protection; the riskiest portion of funds bears losses first. This article argues the opposite: placing tokenized government bonds in a subordinate asset layer, beneath higher-yielding credit assets. It sounds counterintuitive, but this may be the most promising path for regulated issuers to open channels on-chain.
The reason lies in the changing customer acquisition methods. Early DeFi protocols bought liquidity with their own tokens—using APRs and rewards above market rates to build lending markets and DEX pools, and then gradually reducing rewards once organic rates could sustain the market.
New-generation on-chain issuers cannot replicate this strategy. Whether it’s tokenized government bond funds or private credit instruments, they lack governance tokens to issue; regulated issuers cannot attract holders through subsidies. They can only open channels through product structure—designing assets in a way that other protocols are willing to borrow, trade, and repackage.
Assets like OnRe's ONyc and Figure's PRIME have over 30% of their market value related to leverage in the lending market.
In contrast, the layered structure specifically designed to allocate risk among holders is pitifully small: layered positions account for less than 1% of lending deposits. Circular lending and layering are nearly the same in risk allocation, yet the scale differs significantly, indicating a design issue.
Circular Lending: The Proven Method
Circular lending is recursive borrowing. You deposit interest-bearing assets as collateral, borrow stablecoins, and then buy more of that asset, repeating the process. Each round of circulation increases demand for that asset, which is why lending integration can account for such a large proportion of RWA supply.
One cycle distributes risk between two parties. The lender provides stablecoins and only incurs losses if the collateral falls below the liquidation threshold and the liquidator does not close the position in time. The borrower bears all risks above this line: price fluctuations of the collateral and the risk of stablecoin borrowing rates exceeding asset yields.
Liquidation does not happen quickly. The premise of liquidation is that someone can quickly sell the collateral. Redemption of tokenized government bonds or private credit funds can take days to settle, sometimes with notification periods and limits. Liquidators receiving RWA collateral may not be able to sell it at face value, so during periods of stress, on-chain prices may fall below net asset value. Liquidating at this discount makes the perceived safety margin, calculated at net asset value, actually thinner. The lending market's response is to give RWA a lower loan-to-value ratio, which limits the leverage assets can bear and the scale of channels that circular lending can bring.
Borrowing rates fluctuate. As long as asset yields exceed stablecoin borrowing costs, circular lending is profitable. When the market leverages in other directions, stablecoin borrowing rates soar; they rise fastest when many circular loans are closed simultaneously. An asset with a 4% yield can still be profitable at a 3% borrowing rate; once utilization pushes the rate to 8%, the spread turns negative.
Yield Splitting: Making Circulation More Predictable
Platforms like Pendle address the interest rate side of trading. They split interest-bearing assets into two tokens: principal tokens lock in fixed returns until maturity, while yield tokens carry floating rates. Principal tokens are more suitable as circular collateral because their value converges to face value on a known date—this is also why Pendle's usage is so closely tied to the lending market.
Borrowers using principal tokens for circular lending know exactly how much they can earn on that side. The borrowing side remains floating unless the borrower also fixes it; and at each maturity date, they must roll it over again.
Layering: Same Roles, Tiny Scale
Layering splits the risk and return of a single asset into two tokens. Priority tokens receive lower returns and do not bear losses within a certain threshold (the coverage). Subordinated tokens receive higher returns and bear losses first.
The risk allocation method of circular lending is similar. The lender acts as the priority, receiving moderate returns and only losing in case of liquidation failure. The borrower acts as the subordinate, enjoying leveraged returns while also bearing the first loss before liquidation.
Circular lending is larger than layering for two reasons:
First is maturity. Circular lending has years of accumulated infrastructure, liquidator networks, and risk parameters behind it.
Second is correlation. In circular lending, the assets held by the lender are not the same as those protecting it, and they are safer—you are borrowing RWA with USDC. In the same asset structure, priority and subordinate share portions of the same asset pool. If the underlying suffers losses that breach coverage, both priority and subordinate lose together. The portion of yield given up in exchange for protection is not worth it. Subordinated tokens also have their issues as collateral: they correspond to inherently illiquid assets, and they are the most volatile and hardest to liquidate, so the lending market has little reason to accept them. Under the same asset structure, both priority and subordinate are difficult to promote.
-- Price
Reasons for Non-Correlated Layering
Cross-asset layering seeks inferior funds from another type of risk pool, bypassing the correlation issue.
Using a higher-yielding credit asset (like Maple's private credit product) as priority and tokenized government bonds as subordinate. Government bond holders provide first-loss coverage for the credit asset, while the priority uses the excess yield to pay this fee.
A simple example can clarify the economic account. A funding pool has $80 million in credit products with a 10% yield; there is also $20 million in government bonds with a 4% yield. Priority holders only take 8%, not 10%, effectively giving up $1.6 million annually to the subordinate. The subordinate earns $800,000 from government bond yields, plus this $1.6 million, resulting in a 12% return on the $20 million. In exchange, the subordinate absorbs the first $20 million of losses from the credit portion, providing 25% coverage to the priority.
In this structure, government bond holders are selling credit protection for priority assets, and this protection is fully collateralized by government bonds. In traditional markets, this is called financing credit default swaps or credit-linked notes. On-chain, it helps open channels for both sides.
Priority becomes a better collateral. A credit token with 25% first-loss protection can achieve a higher loan-to-value ratio than the original asset, allowing for more leverage and access to more lending markets.
Subordinate becomes a yield-enhanced government bond product. As long as no credit events occur, its value relies on government bonds, which are stable in price and quick to redeem. This characteristic makes it more suitable for the lending market than subordinates under the same asset structure.
Both issuers benefit. The credit issuer obtains a better version of an asset to borrow against, while the government bond issuer gets a higher-yielding product based on their fund. Neither side needs to issue tokens for incentives.
To Be Established, Three Conditions Must Be Met
The structures mentioned above are based on one assumption: when positions go wrong, someone must be able to exit quickly enough to prevent losses for the protected party. For cross-asset layering, this assumption must meet three conditions.
Subordinates must maintain liquidity under stress scenarios. The key is whether government bonds can be redeemed or sold at face value within the week when credit assets start recording losses. Government bonds are the most likely assets to pass this test—during a credit crisis, investors typically buy government bonds, not sell them.
Coverage pricing must be realistic. The premium for subordinates must reflect the expected losses and severity of losses for priority assets. If actual losses exceed coverage, priority is re-exposed; if the premium is too thin, no one will take the subordinate.
Losses must be recorded on-chain in a timely manner. Whether the repayment order can proceed depends on whether losses for priority assets can be recorded promptly. If credit products report net asset values monthly or if there are delays in confirming defaults, subordinates may appear normal on-chain after coverage has been exhausted, leading the lending market for subordinate tokens to provide incorrect pricing.
Conclusion
Relying on incentives to open channels essentially means paying people to participate. Relying on structure to open channels makes assets easier to hold by other protocols. Circular lending is the proven method: effective, large in scale, and it represents the current standard for RWA integration. Yield splitting makes these circulations more predictable.
Layering and circular lending bear similar risk roles, but the design of the same asset has kept it from scaling. Regulated issuers without tokens need a structure that allows assets to be used as collateral in as many places as possible while minimizing the risk for lenders. Placing government bonds in a subordinate position answers this question for both credit issuers and government bond issuers—provided that subordinates maintain liquidity, coverage pricing is realistic, and losses are recorded on-chain in a timely manner.
This content is provided for general informational purposes only and doesn't constitute financial, investment, legal, or tax advice. Any events, rewards, online promotions, or related information mentioned herein should not be considered a recommendation, solicitation, or invitation to purchase, sell, trade, or otherwise deal in any crypto assets. Crypto assets are highly volatile and may result in loss. The availability of WEEX services, products, and related events may vary by region. You are responsible for ensuring that your participation is in accordance with applicable local laws and regulations.
You may also like

Morpho RWA deposits pass $2B as loans approach $900 million

Key Institutional Prerequisite for Tokenization: Issuer Authorization

Kalshi Discusses User Protection Measures with Regulators, Willing to Raise Participation Age to 21

A New Wave of TGE? 19 Projects Expected to Launch Intensively in Q4

OCC Finalizes Stablecoin Issuance Guidelines in the U.S.

Reviewing the US, India, and South Korea: How Retail Investors Ignite the Options Market?

Looking Ahead to Tonight's Federal Reserve Meeting: A Pause in Rate Hikes in October is Almost Certain, How It Affects December Rate Hike Probabilities Becomes the Focus

On-Chain Options Blue Ocean: The Real Battlefield is in Retail Distribution

Robinhood Predicts Market Gains, But Crypto Revenue Halves

Bitcoin: Small Holders Leave, Big Buyers Step In

Bitcoin: Hyperliquid Whales Go Short for the First Time Since March

Why JPMorgan Raised the Target Price for Yushu Technology to 995 Yuan
Crypto-Backed Loan Liquidation: Should You Repay or Add Collateral?
Facing crypto-backed loan liquidation? Compare repayment and collateral top-ups using equal budgets, LTV calculations, stress tests and protection limits.

Turbulent Middle Eastern Crypto Market Welcomes Leadership Change

Ritual Raises $30 Million to Launch Token: AI Game Changer or Retail Investor Trap?

Global Markets in the Last 24 Hours: Brent Oil Reaches $115.81, Bitcoin Drops to $79,818

The Mismatch Between Capital Frenzy and Deployment Economics in the Embodied Industry Clock Cycle

One Week Countdown to Midterm Elections! Will Crypto Change?

Bitcoin at $90,000: The $68 Million Bet on the U.S. Midterm Elections

BisonFi: How an Aggregator Captured Orders with Over $2 Billion in Weekly Trading Volume?

Anthropic IPO Filing Lifts AI Sentiment; BTC Holds Near $80,000 | WEEX TradFi Daily (October 27, 2026)
All three major indexes closed higher on October 26. Anthropic formally filed for a listing, rekindling AI speculation; the Philadelphia Semiconductor Index rose about 3% on the day, and Tesla reached a more-than-three-month high. Bitcoin was near $80,200, down for three consecutive weeks and testing $80,000 for a third time. Local assets plunged after the election result. The October 27 focus is the opening of the Federal Reserve meeting and earnings from Visa, PayPal and others.

WEEX Exclusive:Anthropic IPO Filing Lifts AI Sentiment; BTC Holds Near $80,000 | WEEX TradFi Daily (October 27, 2026)

How Optimism’s draft manual silently strips tokenholder elections

Tom Lee Did It Again. Bitmine Spent $24 Million on Ethereum, but Purchases Are Decreasing

Miden Partner Mainnet Launches, Plans Transition to Public Mainnet in Coming Months

Elon Musk's Grand Scheme to Undermine New Cloud Providers
What Is a Cryptocurrency Market Deleveraging Event? Liquidations vs. ADL
Understand a cryptocurrency market deleveraging event: liquidation vs. ADL, misleading open-interest declines, hedge risks, and checks before trading.

Who Holds Tokenized Stocks? A Large Number of Retail Investors with Highly Concentrated Assets

Flash Loans Secure Two Governance Seats: What Does the X100 Theft Teach the Industry?









