ResearchFebruary 2026~10 min read
When Illiquid Assets Trade
Business development companies, closed end funds, mortgage real estate investment trusts, and a dozen other publicly traded vehicles turn illiquid strategies into tradeable securities. They hold the same loans, the same mortgages, the same private credit that tokenized real world assets hold. The difference: they trade on exchanges, every day, with real volume. This report explores how they work, how they break, and what makes them liquid.
1. The Pattern
There is a class of publicly traded vehicle that wraps illiquid strategies (private loans, mortgage pools, CLO (collateralized loan obligation) tranches, litigation claims, music royalties, aircraft leases) in a structure that trades on an exchange. The underlying assets cannot be sold in a day. Yet the wrappers trade every day, with real bids, real volume, and real price discovery.
This is not a niche corner of finance. Business development companies (BDCs) alone manage over $200B in assets. Mortgage real estate investment trusts (mREITs) run portfolios exceeding $100B each. Closed end funds (CEFs) collectively hold $258B in net assets across 433 vehicles.
Master limited partnerships (MLPs), aircraft lessors, timber REITs, shipping companies, drug royalties, precious metals streamers, listed private equity trusts. Add it all up and you are looking at over $500B in publicly traded securities backed by assets that would take weeks or months to liquidate.
The pattern: a manager assembles illiquid assets, wraps them in a structure with leverage limits and distribution requirements, lists on an exchange, and a market maker posts two sided quotes. The price is almost never equal to the reported net asset value (NAV). That gap is the market's real time opinion on risk, liquidity, and trust.
Mortgage REITs
Top 2 (NLY, AGNC)
CLO Equity
Listed CEFs (ECC, OXLC)
MLPs
Full sector (~29 listed)
Aircraft Lessors
Top listed (AerCap)
Listed PE (UK)
London listed trusts
| Vehicle | Scope | Total Assets | Avg Yield | Avg Discount |
|---|
| BDCs | Full sector | $200B+ | 10 to 13% | 0.83x NAV |
| CEFs | 433 funds | $258B | 6 to 15% | 0.93x NAV |
| Mortgage REITs | Top 2 (NLY, AGNC) | $251B | 10 to 13% | ~1.0x book |
| CLO Equity | Listed CEFs (ECC, OXLC) | $2.5B | 25 to 35% | 0.85x NAV |
| MLPs | Full sector (~29 listed) | $300B+ | 6 to 9% | Varies |
| Aircraft Lessors | Top listed (AerCap) | $72B | N/A | 1.27x book |
| Listed PE (UK) | London listed trusts | $30B+ | N/A | 0.68x NAV |
| Shipping | Listed operators | $5B | 3 to 8% | 0.47x NAV |
Discount/premium data as of early 2026. Total assets reflect scope shown. Sources: StockAnalysis, CEFData, MacroTrends, company filings.
2. How They Actually Trade
Business Development Companies (BDCs)
BDCs are the closest analog to tokenized private credit: middle market loans, marked quarterly, traded daily on NYSE. The sector trades at 0.83x NAV on average. During the 2020 COVID crash, stock prices fell 42.5% while NAVs lagged. The stock was right. The NAV caught up later.
BDC: Reported NAV vs market price per share (ARCC proxy)
Closed End Funds (CEFs)
CEFs hold $258B across 433 funds, 75%+ retail owned. No redemptions at NAV; if you want out, you sell on the exchange. Current sector average discount: 6.89%.
CEF: NAV vs market price (PIMCO PDI proxy)
Mortgage REITs (mREITs)
mREITs are leveraged bets on mortgage spreads at 5 to 7x leverage. AGNC lost over a third of its book value during the 2022 rate hikes, falling from $16.76 to $10.76 per share. In March 2020, four mREITs failed margin calls within days.
mREIT: Book value vs market price (AGNC proxy)
CLO Equity
CLO equity is the first loss tranche of a collateralized loan obligation. OXLC advertises 28 to 32% yield. Its NAV has fallen from $77.70 at inception to roughly $19, a decline that wipes out most of the distributions. The high yield cannibalizes NAV. These are yield traps: return of capital disguised as yield.
CLO equity: NAV vs market price (ECC proxy)
Trading Volume: 20 Years of Liquidity
Volume spikes during crises, precisely when liquidity matters most.
Average daily dollar volume across the universe ($M/day, stacked)
Volume hit 5x normal in 2008, 4x in 2020. By 2025, total daily volume runs at $1.75B per day. The cost of liquidity shows up in the spread, not in a queue.
3. What Makes Them Tradeable
Take the exact same 200 middle market loans. Put them in a publicly traded BDC or a non traded BDC. The listed version trades daily. The non traded version offers quarterly repurchase of up to 5%. Same loans. Different infrastructure.
Tradeability is a stack of interlocking mechanisms. Remove any layer and liquidity degrades.
What makes a listed wrapper tradeable: the structural rules
Leverage cap
BDCs capped at 2:1 debt to equity by regulation
Market makers can model maximum drawdown
Distribution
90%+ of income distributed as cash to maintain tax status
NAV reflects actual portfolio value, not paper gains
Fixed supply
No new shares issued after IPO (closed end)
Supply is predictable. Market makers know the float.
Valuation
SEC fair value rules, independent agents, board approval, annual audit
NAV has external verification
Exchange listing
Designated Market Maker posts two sided quotes on NYSE/Nasdaq
A price is quoted through the trading day
Short selling
Anyone can borrow shares and sell them
Overvalued marks corrected before damage compounds
Disclosure
Quarterly SEC filings with loan by loan portfolio detail
Any investor can assess the portfolio independently
| Rule | How it works | Why it matters for trading |
|---|
| Leverage cap | BDCs capped at 2:1 debt to equity by regulation | Market makers can model maximum drawdown |
| Distribution | 90%+ of income distributed as cash | NAV reflects actual value, not paper gains |
| Fixed supply | No new shares after IPO (closed end) | Supply predictable. Makers know the float. |
| Valuation | SEC rules, independent agents, board approval, audit | NAV has external verification |
| Exchange | DMM posts two sided quotes on NYSE/Nasdaq | A price is quoted. Cost is in the spread, not a queue. |
| Short selling | Anyone can borrow and sell shares | Overvalued marks corrected before damage compounds |
| Disclosure | Quarterly SEC filings, loan by loan detail | Any investor can assess independently |
Where Tokenization Could Improve on the Model
In traditional markets, NAV is published quarterly. Between filings, market makers are guessing. Onchain, data can be real time: vault inflows, redemption queue depth, collateral ratios, default events. A risk engine can reprice the discount curve continuously, not every 90 days.
Structural constraints in traditional finance are rules that boards enforce at their discretion. Blue Owl's board killed quarterly tender offers on its non traded products with no investor vote. With automated systems, leverage caps and distributions can be enforced by preset rules with no escape hatch.
Capital pooling is another structural improvement. In traditional markets, only firms like Citadel and Virtu have the balance sheets to absorb sell flow during a crash. An onchain vault could pool capital from a broader set of liquidity providers, removing the DMM license, the $325K NYSE listing fee, and the prime broker relationship.
4. Fund Size Matters
Traditional wrappers dwarf tokenized funds: Annaly at $135.6B vs BlackRock's BUIDL at $2.9B and Goldfinch at $39M. The largest tokenized fund is one tenth the size of the largest BDC.
Total assets: traditional wrappers vs tokenized real world asset funds ($B, log scale)
Traditional Tokenized
The practical minimum for reasonable liquidity is $200 to $300M in net assets. The 2025 CEF merger wave (nearly 40 mergers) confirms it: sub scale funds suffer persistent discounts that cannot be arbitraged away.
5. Redemption Mechanics: The Gate Problem
Listed wrappers let you sell on the exchange. The fund itself does not have to liquidate. But non traded versions (the ones most like tokenized RWAs) use periodic tender offers capped at 5% of NAV per quarter. When more than 5% want out, the fund hits a gate. You get in line.
Why Gates Exist
Without gates, early redeemers get NAV while the portfolio is intact. Late redeemers get a depleted portfolio where the most liquid assets have already been sold. The rational response is to run first, even if the underlying assets are sound. Gates prevent this death spiral by spreading the cost of liquidity over time. But they only defer the problem. They do not resolve it.
BREIT: 15 Months of Gating
Blackstone Real Estate Income Trust (BREIT) is the definitive case study. In November 2022, as interest rates rose and commercial real estate came under pressure, redemption requests surged beyond the 5% quarterly cap. BREIT hit its gate. What followed was 15 months of prorated redemptions.
BREIT: Monthly redemption requests vs fulfilled ($B)
Peak requests hit $5.3B in January 2023. BREIT fulfilled 25%. Total outflows during gating: ~$15B. AUM fell from $69B to $59B.
Meanwhile, publicly traded REITs with comparable portfolios dropped 20%+ but investors could sell any day, any amount. The cost of liquidity showed up in the price, not in a queue.
The same pattern is playing out now. Non traded private credit BDC redemptions tripled from 1.6% to 4.8% of NAV in Q4 2025, breaching the 5% gate in Q1 2026. Blue Owl permanently halted tender offers on its non traded BDC and is liquidating 34% of its portfolio.
Fund managers can change redemption terms unilaterally, no investor vote required. The prospectus says it all: quarterly tender offers are “expected but not guaranteed.”
5b. The Non Traded Architecture
The largest private credit vehicles in the market are not listed on exchanges. They are non traded BDCs and interval funds, sold through wealth management channels, priced at NAV by their own managers, and redeemable only at quarterly windows capped at 5% of fund assets. As of Q4 2025, these structures collectively manage over $100B in assets.
The distinction between a listed BDC and a non traded one is not the underlying loans. The portfolios overlap: middle market direct lending, broadly syndicated credit, CLO tranches. The distinction is the absence of a market price. A listed BDC trades on NYSE at whatever the market will pay. A non traded BDC reports its own NAV, quarterly, using internal models reviewed by a board that the manager appoints. There are no short sellers. There are no analyst reports. There is no intraday signal that the portfolio may be impaired.
This creates a specific set of incentives. The manager earns fees on NAV. A stable, slowly moving NAV supports a higher fee base than a volatile market price. Controlled quarterly redemptions prevent outflows from exceeding the fund's ability to sell assets. The SEC, FINRA, and multiple academic studies have documented the structural tension: the features that make these vehicles appear stable, smooth NAV and limited redemptions, are the same features that protect the manager's economics at the expense of investor liquidity.
What Happens When 5% Is Not Enough
In Q3 2025, aggregate non traded BDC redemption requests ran at 1.6% of NAV. By Q4, requests had tripled to 4.8%. By Q1 2026, multiple funds breached the 5% quarterly cap. One fund received requests for 11.2% of outstanding shares. Another saw 10.9%. A third processed 7.9% of NAV in requests.
The result: investors received roughly 45 cents on the dollar of what they asked to withdraw. Not because the underlying assets defaulted. Because the structure cannot liquidate fast enough to meet the demand.
One manager went further. It permanently halted quarterly tender offers on its non traded BDC and sold approximately $600M of loans, about a third of the fund's portfolio, to transition to a return of capital model. The manager described this as “not halting liquidity” but changing the mechanism. Investors who bought into the quarterly redemption promise now hold an asset with no defined exit path.
Why They Stay Non Traded
A listed BDC exposes the manager to market discipline. If the market thinks the loans are worth less than reported NAV, the stock trades at a discount. Listed BDCs in early 2026 trade at 0.83x NAV on average. That discount directly reduces what the manager can raise in follow on offerings, reduces performance fee income, and invites activist investors and short sellers.
A non traded structure avoids all of that. The NAV is the NAV. Investors buy and redeem at NAV. No market discount. No short sellers publishing research on overvalued marks. No real time signal that the portfolio is deteriorating. The manager can raise capital continuously, charge fees on a stable base, and control the pace of outflows through the gate mechanism.
The tradeoff is real. Investors in non traded vehicles get NAV pricing, which means no risk of buying at a premium or selling at a discount. But they give up a defined path to exit. A listed BDC holder can sell at 0.83x NAV any second of any trading day. A non traded BDC holder asking for their money back in Q1 2026 received 45% of what they requested, at a NAV that has no external verification of whether it reflects what the assets would actually fetch in a sale.
Tokenization Did Not Solve This
Several large non traded credit funds have tokenized their shares through regulated transfer agents. The theory: putting the shares on a blockchain would create a secondary market, allowing holders to trade with each other rather than waiting in the quarterly redemption queue.
The result, so far, is thin. One of the largest tokenized private credit funds has 23 holders and zero daily trading volume. Every transfer must pass through a compliance layer operated by the transfer agent. The token cannot be listed on a DEX or traded freely. It moves faster than a paper certificate, but the buyer pool is the same small set of whitelisted institutional wallets.
Tokenization improved the plumbing. Settlement is faster. Record keeping is automated. Fractional ownership is easier. But it did not change the fundamental liquidity constraint: there is no market price because there is no market. The tokenized version inherits the same NAV reporting, the same quarterly gates, and the same manager controlled valuation.
The predictable next step has already begun. Third party intermediaries are stepping in to provide standing bids, offering to buy tokenized fund shares from holders who want out before the quarterly window. These intermediaries purchase at a small discount to reported NAV, hold until the next redemption date, and redeem at full NAV to capture the spread. Available data confirms that this activity is measured in hundreds of thousands of dollars, not millions.
This is not a secondary market. It is a single counterparty willing to take the other side. The illiquidity that the token was supposed to fix required another layer of intermediation to address, and that layer operates at a scale that is negligible relative to the underlying fund.
The NAV Lending Problem
A lender considering a loan against tokenized fund shares faces the same question a bank faces when lending against any Level 3 asset: what is the collateral worth, and can I get out if the borrower defaults?
In traditional markets, NAV lending against diversified senior first lien credit portfolios runs at 50 to 70% loan to value. PE fund interests get 10 to 30%. The advance rate depends on portfolio transparency, asset liquidity, and the lender's ability to force an exit. Credit secondaries traded at 92% of NAV on average in H1 2025, according to Jefferies, meaning even in a functioning secondary market the expected recovery is below par.
A tokenized non traded fund share sits in an awkward position. The NAV is reported by the manager. The redemption queue is gated. The secondary market has a handful of participants. If a borrower defaults on a loan collateralized by these tokens, the lender must either wait in the quarterly redemption queue, where they may receive 45% of what they request, or sell into a secondary market that barely exists.
Anyone lending against these fund interests needs to price this reality. The reported NAV is not the liquidation value. The liquidation value is whatever a willing buyer will pay under time pressure, in a market with no depth, behind a gate that the fund manager controls. The gap between those two numbers is the entire risk the lender absorbs, and no automated system can close that gap without an actual functioning market on the other side.
6. What Happens During Stress
Every crisis reveals the same dynamic. Publicly traded wrappers crash faster than NAV. The stock absorbs the panic in real time while the manager is still running quarterly valuations. Then, over the following quarters, NAV catches up to where the stock already was. The stock was right. The NAV was late.
Peak discount to NAV/book during crisis events (%)
In 2008, BDCs traded at 50 to 60% discounts. Ares Capital fell 80%. In March 2020, BDCs dropped 42.5% in weeks while NAVs lagged and four mREITs failed margin calls within days. The Fed's MBS purchase announcement stabilized agency names, but non agency players that failed margin calls were done.
The critical difference: publicly traded wrappers surface the pain immediately in the price. You can sell any day. The cost is a worse price, not the inability to sell. Non traded structures suppress volatility but create liquidity risk. The pain shows up not in the price but in the queue.
7. What Tokenized Assets Need to Match This
Tokenized RWAs hold the same assets as BDCs and CEFs. The question is what structural features they need before a rational market maker will provide a bid. The 20 year history gives a clear answer: five conditions.
1. Independent, continuous valuation
Market makers anchor bids to NAV. Tokenized assets have issuer reported NAV with no independent check. Need: an independent risk engine publishing valuations, not controlled by the issuer.
2. Quantifiable tail risk
A risk framework that tells a market maker what the worst case looks like at specific confidence levels. Without this, no one can size the bid.
3. Fixed or predictable supply
CEFs work because share count is fixed. Many tokenized assets mint and redeem continuously, making supply unpredictable. Need: fixed supply or rules based schedules enforced automatically.
4. Short selling as a price correction mechanism
Short sellers are the market's immune system. Tokenized assets have none. A lending pool with risk engine driven margin could create the same correction mechanism onchain.
5. A permanent bid
Even a $100M CEF has a functioning bid because DMMs are obligated to quote. Standard AMMs cannot do this for illiquid assets. What is needed is a market making vault that posts a permanent floor bid priced by a risk engine.
What made listed BDCs work when non traded BDCs broke was not the loans. It was the structure.
8. What This Could Look Like On Chain
If the structural rules that make listed wrappers work were applied to tokenized assets, what would that look like? The rules themselves are proven. The question is how they translate. Most of the underlying data (collateral ratios, distribution amounts, portfolio valuations) originates off chain and would need to be fed into an automated enforcement system by the fund administrator or an independent data provider. Once in the system, preset rules enforce against it. Here is one way it could map.
Leverage
Listed wrapper
2:1 cap enforced by regulation. If breached: borrowing frozen, dividends halted, credit facility default. Discovered at next quarterly filing.
On chain
Administrator reports collateral ratio to the system. If breached: system blocks new borrowing and begins graduated enforcement. Detected when reported, not at the next quarterly filing.
Distribution
Listed wrapper
90%+ paid as cash. Board decides timing and can change terms unilaterally.
On chain
Distributable income reported by the administrator. Distribution executes automatically once reported. Any change in terms is visible to all participants.
Supply
Listed wrapper
Closed end, no new shares after IPO. Dilution discovered in filings.
On chain
Supply rules preset. Any change is logged and visible immediately. No filing delay.
Valuation
Listed wrapper
Independent agents review marks quarterly. Auditors annually. 60 to 90 day reporting lag.
On chain
Independent data providers can produce marks at higher frequency by ingesting administrator data and market signals. Marks are visible to all participants.
Bid
Listed wrapper
DMM quotes on NYSE 15% of the trading day. Bid can legally sit 28% below market.
On chain
A vault can post a permanent floor bid priced by a risk model that reads from the valuation feed. Pooled capital from any depositor. The bid does not disappear during panics.
Shorts
Listed wrapper
Anyone can borrow and sell. FSK corrected from 1.0x to 0.70x NAV after its dividend cut.
On chain
A lending module with risk adjusted margin can enable the same correction mechanism. Margin requirements update as the risk model updates.
Disclosure
Listed wrapper
Quarterly SEC filings with loan by loan detail. 60 to 90 day lag.
On chain
System state (redemption queues, supply, holder concentration) is visible to all participants by default. Portfolio data from the administrator requires reporting infrastructure.
| Rule | Listed wrapper | On chain |
|---|
| Leverage | 2:1 cap. If breached: borrowing frozen, dividends halted, credit facility default. Discovered quarterly. | Validators report ratio to contract. Breach triggers automatic restrictions. No quarterly lag. |
| Distribution | 90%+ as cash. Board decides timing. | Income reported to system. Distribution executes automatically. Any change visible to participants. |
| Supply | Closed end. No new shares after IPO. | Mint/burn in token contract. Supply changes visible the block they happen. |
| Valuation | Independent agents quarterly. Auditors annually. | Independent data providers ingest administrator data and market signals. Higher frequency marks. Public. |
| Bid | DMM quotes 15% of day. Can sit 28% below. | Vault posts permanent floor bid via risk model reading from valuation feed. Pooled capital. |
| Shorts | Anyone borrows and sells. FSK corrected to 0.70x. | Lending module with risk adjusted margin. Margin updates as risk model updates. |
| Disclosure | Quarterly SEC filings. 60 to 90 day lag. | On chain state (redemptions, supply, holders) is public. Off chain data requires reporting infra. |
None of this exists for tokenized fund interests today. The data infrastructure to deliver administrator reports into an automated system is a solved problem. What is missing is independent consensus over that data: multiple parties verifying the same inputs and producing marks that no single reporter controls. Twenty years of listed wrappers show that the same illiquid loans become tradeable when wrapped in the right constraints, verified independently, and backed by a permanent bid.
Tradeability is not a property of the asset. It is a property of the structure around it. Build the structure, and lending against these assets becomes cheaper, faster, and possible at a scale that bespoke legal agreements cannot reach.