Who Underwrites a Tokenized Loan?
Somebody does, and the answer is rarely visible from the chain. Tokenized private credit has recorded roughly $147 million in defaults, attributed to adverse selection, opaque underwriting practices, borrower misrepresentation and macro shocks — a list containing no failure mode unique to blockchain lending. That is the point worth sitting with. The technology delivers genuine transparency into the instrument: pool balances, loan terms and repayment flows are visible in real time and cannot be misstated. Credit risk lives somewhere else entirely, in the borrower's undisclosed liabilities, the quality of their receivables and whether the collateral exists at all, and none of that is improved by recording the loan on a ledger. This guide covers where the losses actually came from, why bullet repayment structures conceal deterioration, and what a lender should establish before committing capital to a pool.
TL;DR — Key Takeaways
- ✓The Losses: Roughly $147 million in recorded defaults, attributed to adverse selection, opaque underwriting, borrower misrepresentation and macro shocks.
- ✓Nothing Novel: Every listed cause is an ordinary credit failure. Tokenization added deployment speed and a wider lender base, not a new failure mode.
- ✓The Transparency Illusion: The chain shows the token perfectly and the borrower not at all. Credit risk lives entirely in what the chain cannot see.
- ✓Structure Hides Trouble: About 90% bullet repayment and 68% of fixed-term loans at three to twelve months. A struggling borrower pays interest and reveals nothing until maturity.
- ✓The Question to Ask: Who underwrites, what do they see that you do not, and do they bear any loss if it goes wrong?
The Chain Records Everything Except the Credit
Tokenized private credit has recorded roughly $147 million in defaults, attributed to adverse selection, opaque underwriting practices, borrower misrepresentation and macro shocks. Not one of those is specific to blockchain lending — they are the standard causes of credit loss in any market.
That should reframe how the sector's transparency claim is read. A tokenized loan pool genuinely does publish its balances, terms and repayment flows continuously and immutably, which is more than most private credit funds offer. It publishes nothing about whether the borrower has pledged the same receivables to three other lenders.
Defaults are attributed to “adverse selection, opaque underwriting practices, borrower misrepresentation” and macro shocks — with underwriting infrastructure deficiency identified as a major vulnerability.
— Analysis of tokenized private credit performance
Underwriting infrastructure is the phrase to notice. It is the layer the sector built last, and the layer every loss ran through.
What Is Visible and What Decides the Outcome
The two lists barely overlap. Everything a chain records with perfect fidelity is an attribute of the instrument; everything that determines whether the loan repays is an attribute of the borrower, held off-chain and disclosed voluntarily.
| Fact | Visible on-chain? | Decides repayment? |
|---|---|---|
| Pool balance and loan terms | Yes, continuously | No |
| Interest payments received | Yes | Weak signal only |
| Borrower's other liabilities | No | Yes |
| Quality of underlying receivables | No | Yes |
| Whether collateral exists | No — requires verification | Yes |
| Accuracy of borrower financials | No | Yes |
Key Insight
The second row is where lenders are most often misled, and it is subtle. A pool showing every scheduled interest payment arriving on time looks healthy, and that appearance is generated by the chain with complete accuracy. But under a bullet structure, interest is a small fraction of the exposure and a distressed borrower will prioritise paying it precisely to avoid triggering scrutiny before maturity. The most visible datapoint in the system is therefore also among the least informative about the risk, and its visibility makes it feel like evidence.
Why Faster Lending Attracts Worse Borrowers
Adverse selection is not a moral claim about borrowers. It is arithmetic: a lender screening less thoroughly than the market receives a disproportionate share of the applicants that thorough screening rejects, while pricing as though it received a representative sample.
Speed is the selling point and the exposure
On-chain pools compete on how quickly capital reaches a borrower. That is a genuine advantage for a good borrower with a timing need, and it is equally attractive to a borrower who wants a decision before a bank finishes its diligence. The same feature draws both, and only one of them is priced.
The screening asymmetry compounds
If a pool's underwriting is materially lighter than a bank's, the population reaching it is not the market average — it is the market average minus everyone the bank was willing to fund on better terms. Yields that look attractive against bank lending rates are compensating for a borrower pool that is not comparable.
Fee-on-origination breaks the incentive
Where the party assessing credit is paid on volume originated and bears no loss on default, the rational behaviour is throughput. This is the standard structure behind credit deterioration in any market, and it is not made better by the loan being represented as a token.
The lender base widened faster than the diligence
Tokenization brought in lenders who could not previously access private credit and who, in most cases, cannot perform borrower-level credit analysis. Capital arrived with less scrutiny attached, and capital with less scrutiny attached is exactly what adverse selection feeds on.
The fourth point is the uncomfortable one for the access narrative. Widening participation in private credit is a real achievement, and it means a large share of the capital in these pools belongs to lenders with no capacity to evaluate what they are funding — which places the entire weight of the outcome on whoever underwrites.
The Structure Conceals Deterioration
Around 90% of these loans use bullet repayment — periodic interest with principal at maturity — and roughly 68% of fixed-term loans run three to twelve months. Under that structure, the first hard information about repayment capacity arrives when the entire principal falls due.
An amortising loan tests the borrower monthly and reduces exposure as it goes. A bullet loan tests them once, at the end, with the full amount outstanding. In a portfolio of short bullet loans the effect is that everything looks fine until several maturities cluster, which is why credit losses in this format tend to appear suddenly rather than building visibly.
What Bullet Structures Suit
- Genuine bridge financing with a defined take-out
- Receivables with a known collection date
- Borrowers whose cash flow is lumpy by nature
- Short exposures a lender intends to roll deliberately
What They Hide
- Gradual erosion of repayment capacity
- A borrower refinancing interest from new borrowing
- Correlated maturities across a portfolio
- The difference between paying interest and being solvent
The second item on the right is the classic pattern and it is fully compatible with a perfect on-chain payment record. A borrower drawing from one pool to service another produces an immaculate repayment history in both, right up until neither can be refinanced — the stress dynamics covered in what happens when tokenized private credit defaults.
What to Establish Before Committing Capital
Three things, in order: who assesses the credit, what they can see, and whether they lose money if they are wrong. The third question does most of the work, because it determines how seriously the first two are taken.
On the underwriter
- Who performs credit assessment, by name?
- How are they compensated?
- Do they hold first-loss exposure?
- What is their loss record, not their volume?
On the borrower
- What other debt exists, and ranking?
- Is collateral verified or asserted?
- Are financials audited?
- Could the same assets back another loan?
On enforcement
- Who holds the right to enforce?
- In which jurisdiction, under what law?
- How long does recovery take?
- Has the path ever been used?
The last question in each column is the same question in three forms: has this been tested, or only described? A pool with no defaults has either good underwriting or a short history, and only one of those is a reason to invest — with the sector's losses concentrated in periods of stress, a clean record through calm conditions establishes very little.
What Infrastructure Can and Cannot Fix
No compliance layer underwrites a loan. What it can do is make the facts a lender relies on into recorded properties rather than claims, so that a diligence question has an answer stored against the instrument instead of requiring an email.
Verification Status Recorded
Whether collateral was independently verified, by whom and when, is recorded against the instrument — separating a verified asset from an asserted one before capital commits rather than after.
Encumbrance on the Asset
Where collateral is already pledged, that state is a property of the position, which is what prevents the same receivables quietly backing several facilities.
Enforcement Path Declared
Who may enforce, against what, and under which jurisdiction is recorded in advance, so the recovery route is established while the loan is performing rather than discovered when it is not.
Lifecycle Record, Not Just Payments
Amendments, extensions and waivers are retained alongside payments, so a loan that has been quietly restructured twice does not present as one that has simply performed.
The last item addresses the specific illusion this article is about. A clean payment history and a clean credit history are different things, and the difference is usually a sequence of amendments nobody published. Recording them is unglamorous and it is the single change that would most improve what a lender can actually learn from a pool — the verification chain covered in off-chain asset verification for RWAs.
Running a Credit Programme That Has to Be Diligenced?
Blockmaze records verification status, encumbrance, the enforcement path and the full lifecycle of amendments — so a lender's diligence question has a stored answer.
Frequently Asked Questions
Why do tokenized private credit loans default?
For reasons that have little to do with tokenization. Recorded defaults in the sector total roughly $147 million, attributed to adverse selection, opaque underwriting practices, borrower misrepresentation and macro shocks such as the FTX collapse. Every one of those is an ordinary credit failure. What tokenization contributed was speed of deployment and a wider lender base, not a new failure mode — the losses came through the same door they always do.
What is adverse selection in this context?
Borrowers who cannot obtain credit elsewhere on better terms being disproportionately attracted to a lender with weaker screening. If an on-chain pool underwrites less rigorously or more quickly than a bank, the borrowers who most benefit from that difference are precisely the ones a bank declined. The pool therefore receives a worse-than-average sample of the borrower population while believing it is receiving an average one, and prices accordingly.
Does on-chain transparency help with credit risk?
It shows you the wrong things. A chain records the token, the pool balance, the repayment flows and the loan terms with total fidelity. It records nothing about the borrower's other liabilities, the quality of their receivables, whether their financial statements are accurate, or whether the collateral exists. Credit risk lives entirely in the second list. Perfect visibility into the instrument is routinely mistaken for visibility into the credit.
What is the typical structure of these loans?
Short and bullet-repaid. Roughly 94% are fixed-term, about 68% of those run three to twelve months, and around 90% use bullet repayment — periodic interest with principal due at maturity. That structure conceals deterioration: a borrower in difficulty keeps paying small interest amounts and reveals nothing until the principal falls due, at which point the entire exposure crystallises at once rather than amortising down over the life of the loan.
Who are the borrowers?
Predominantly fintech originators today — firms doing structured debt, real estate bridge lending and SME financing — having displaced the market makers who dominated volumes before 2022. Geographically the United States leads, followed by Europe and Latin America, which cuts against the founding assumption that on-chain credit would primarily serve emerging markets underserved by banks. The borrower base looks more like specialty finance than like financial inclusion.
What should a lender establish before entering a pool?
Who performs the credit assessment, what they see that you do not, and how they are paid. If the party underwriting the loan earns a fee on origination volume and bears no loss on default, their incentive is throughput rather than quality — the structural problem behind most credit blowups in any market. Then establish what happens operationally on a default: who has the right to enforce, against what collateral, in which jurisdiction, and on what timeline.
Related Articles
What Happens When Tokenized Private Credit Defaults?
What follows once a loan has already gone wrong, and the timeline mismatch.
How Investment Managers Tokenize Private Credit
The issuance side of a compliant private credit programme.
Critical Role of Off-Chain Asset Verification in RWA
Establishing that what backs a token actually exists.
What Changes When a Tokenized Fund Is Actively Managed?
The same judgement problem in a fund wrapper rather than a lending pool.