Bitcoin Magazine has published an article titled Understanding Digital Money and Digital Yield, in which Allard Peng lays out an emerging framework built around “digital credit” and the products that may sit on top of it.
The article divides that business model into two broad architectures: debt-based tranching structures and full-reserve, spendable balance structures. Rather than making a market call, the piece focuses on how these setups work and what economic constraints they face.
How the article defines digital credit, digital money and digital yield
Peng defines “digital credit” as credit-like instruments issued by corporations with large Bitcoin balance sheets. According to the article, that category currently consists of five Nasdaq-listed perpetual preferred equities: STRC, SATA, STRK, STRF and STRD. The piece says those five are now the five most liquid preferred equity securities in the United States.
Within the framework used in the article, Bitcoin is L1. Digital credit is L2 because it is built on top of Bitcoin. “Digital money” and “digital yield” are then described as L3 products built on top of digital credit.
The article also makes a distinction that matters for the rest of the discussion. Peng notes that Bitcoin itself is obviously digital money in a broad sense, but says the terms in this piece follow language popularized by Michael Saylor in corporate Bitcoin discussions. Under that usage, “digital money” refers to something built on top of digital credit that holds a very stable fiat-denominated value, while “digital yield” refers to a product that concentrates and amplifies the yield of digital credit.
The first architecture: debt-based tranching built on digital credit collateral
The first and primary model discussed is a debt-based tranching structure. In that setup, digital credit serves as the base collateral asset. The junior tranche effectively takes leveraged long exposure to digital credit, while the senior tranche is positioned as principal-protected through the permanent capital supplied by the junior side.
Peng writes that this is currently the most common structure, saying a meaningful amount of assets under management already sits inside systems built this way.
Saturn and Strata
One example in the article is Saturn, described as a tokenized protocol that holds a large amount of STRC. The financial engineering built on top of Saturn is Strata, which the article says uses the same tranching approach. Peng adds that the name “Strata” likely refers to the layering of different financial levels inside the arrangement.
UTXO Management’s dual-class fund
The article also highlights UTXO Management’s Preferred Income Strategies LP. Peng describes it as a dual-class fund with a junior share class and a senior share class.
In the structure outlined in the piece, the junior investors are effectively leveraged long the underlying digital credit portfolio. The senior investors receive what the article calls a highly principal-protected 7.5% annual yield. The condition is that the portfolio value cannot fall below the invested capital representing the senior investors’ original principal. Seniors must receive all of their principal back before juniors can be paid.
Peng says UTXO can also run alpha-generating strategies that may reduce downside risk in the digital credit portfolio or use relative-value trades to capture market mismatches. Those actions, the article says, can lift total portfolio returns. Because the junior side is leveraged long that portfolio, it has the potential to outperform, while the senior side benefits from the full principal-protection cushion.
The article’s point is that the two share classes align different investor preferences. One side wants more protection. The other wants more upside.
Why Peng sees this as an extension of existing capital structure logic
Peng argues that this basic setup closely resembles the capital structure used by digital credit issuers such as Strategy or Strive. If an issuer raises capital through preferred equity or debt, it creates a more senior layer. That layer becomes the principal-protected layer, though the article notes that this is based on asset-value coverage rather than encumbered, callable protection. Common equity then becomes the junior tranche, effectively leveraged beyond the underlying asset.
From that perspective, digital yield and digital money products built on top of digital credit through tranching are, in Peng’s words, a higher-order retelling of the same digital credit and digital capital maneuvering already taking place one layer below.
Borrowing to buy digital credit fits the same economic pattern
The article broadens the concept beyond formal tokenized structures. Peng writes that any leveraged system in which someone borrows money and invests the borrowed funds into digital credit is, in effect, participating in an L3 tranching methodology. The borrower becomes leveraged long. The counterparty occupies the more principal-protected position.
How much protection actually exists depends on more than raw asset coverage. Peng says it also depends on whether the collateral asset, in this case the digital credit instrument, sits in a custody arrangement that can be enforced. If the position goes underwater, the creditor needs to be able to seize the assets, liquidate the collateral and be made whole. That enforceability depends on the exact structure.
In Strata, the article says, enforcement rests on a blockchain-consensus-dependent smart contract. In the UTXO Preferred Income Fund, the enforceable structure exists inside a regulated hedge fund framework shared by all limited partners.
The mortgage example and the shadow banking angle
Peng then gives a broader example. If someone takes out a mortgage against a house and uses the proceeds to buy digital credit, that person has, to some extent, created part of the L3 concept. Money is being created through the traditional fractional-reserve banking process, and collateral has been encumbered.
The article is careful on one point: in that case, digital credit is not the collateral. The house is. Still, Peng says the economic arrangement would not exist without digital credit serving as an investable asset and a destination for borrowed capital.
If a wide group of people begin taking out different kinds of loans, secured or unsecured, and then use that borrowed capital to invest in digital credit, Peng says a shadow-banking condition could emerge. The assets produced by that behavior would basically be conventional credit. They would not necessarily be tokenized, and there would often be nothing visibly special about them. They might take the form of asset-backed securities, and in many cases observers would not even know digital credit sat on the other side.
For that reason, Peng says it is not fully precise to label all of that as an L3 digital yield concept, because it does not directly deal with digital credit itself. Even so, the article says it could become a meaningful market mechanism as digital credit scales and is worth monitoring.
The main weakness of debt-based tranching
After laying out the structure, Peng turns to the shortfalls. The most obvious problem, the article says, is that there is no backstop beyond the debtors’ own balance sheets, and the system constantly needs debtors willing to take the leveraged-long side.
Peng presents that as a persistent limit on the scalability of L3 digital money and digital yield. If principal protection for the senior tranche always depends on a junior tranche willing to take leveraged long exposure, then the size of the system is constrained by the supply of investors willing to take that risk.
- First, there may be better assets to lever long, which means junior capital may not show up.
- Second, there is a constant push and pull between seniors and juniors. Because the structure is tranche-based, Peng describes the total portfolio as a zero-sum game: what seniors gain, juniors lose, and vice versa.
That creates a pricing boundary on both sides. Seniors can only demand yield up to a certain point before juniors leave. Juniors, at the same time, need returns above some threshold before they will accept the risk. The structure has to find an equilibrium clearing price.
Even at that clearing price, Peng questions whether there will be enough durable demand for leveraged-long digital credit to keep creating principal-protected senior positions at scale. He says the examples he is aware of suggest a relative shortage of people willing to be juniors and a relative surplus of people willing to be seniors.
Why fiat can do something this system cannot
The article then compares this problem with the fiat system. Peng argues that fiat solves it because private credit sits on top of an elastic public balance sheet.
Commercial banks can create credit and deposit money. Central banks provide the ultimate settlement asset, described in the article as M0, base money or bank reserves. When systemwide deleveraging threatens the monetary system, central banks can create reserves and replace disappearing private liquidity. At the same time, the Treasury, deposit insurers or other public institutions can absorb or redistribute credit losses where policymakers choose to do so.
That means the fiat system does not require a private actor to remain the marginal leveraged-long investor during a panic. The public sector can temporarily take that role and stop forced deleveraging. Fiat money can therefore remain in place even when the leverage behind it disappears. Peng explicitly says digital money implemented through the tranching architecture cannot do that.
The article adds that equity holders and creditors can still be wiped out in fiat. The distinctive feature is that the public sector does not face a hard nominal constraint on its ability to manufacture the settlement asset needed to stabilize the financial system. Peng says the real macro constraint is the availability of real resources and society’s tolerance for the inflationary effects of currency debasement. He describes that as the true limit of fiat’s debt-based system at the societal level and says it is also the core conclusion of Modern Monetary Theory.
Digital credit, in Peng’s view, does not have that kind of support today. The article says it is doubtful that any central bank would buy underwater digital credit to make investors whole, even though central banks often do this with traditional forms of credit such as mortgages and other bank loans.
For that reason, Peng says a fiat-banking-like system built on top of digital credit and used as widespread L3 digital money looks doubtful at best over the next few years. The article says certain things would need to happen first, with better Basel risk weights for Bitcoin named as the main one. Even then, Peng expects meaningful progress to be slow.
Without support from the commercial banking system or the central banking system, the only capital available to serve as the leveraged junior side of digital yield, and thereby support the creation of senior digital money, is private capital willing to take the risk.
The second architecture: full-reserve, spendable balances
The article then moves to the second form of L3 digital money: full-reserve, spendable balances. Peng adds a clarification here. Calling this model “full reserve” does not mean the tranching model is “fractional reserve.” In this context, full reserve simply means the available spendable balance is fully backed by unencumbered shares held on the spot.
The idea is to combine digital credit with a basket of other credit instruments to create a composite benchmark that is both highly liquid and yields more than the risk-free rate. In the article, the risk-free rate refers to the short-term U.S. Treasury bill rate.
If that asset also had daily liquidity and accrued interest daily, Peng says it would resemble a money market fund with added risk premium and volatility. If it were then tokenized or turned into a spendable balance, it could function as a digital currency that pays a higher yield.
The article says the composite benchmark is not required. A balance could hold only digital credit and still be made spendable. But because digital credit is more volatile than short-duration credit instruments such as FLOT or FLTR, both floating-rate note ETFs, or JAAA and CLOA, which the article identifies as AAA-rated CLO tranches, a purely digital-credit balance would be more volatile even if it offered higher yield.
Regulatory acceptance is the central hurdle
Peng says the real hurdle for this concept is regulatory acceptance. The article points to the recent dispute around stablecoins and the Clarity Act, and says banks rejected Clarity because stablecoins are a major competitive threat to them.
One of the most contentious issues, according to the article, was stablecoins paying yield because that would compete with traditional bank deposits. Peng argues that a spendable balance with a relatively stable par value and a yield above the risk-free rate, driven by a credit risk premium, would likely create even more tension.
That is why the idea of using relatively stable-value securities, with digital credit as one subset, as spendable balances is legally sensitive. In Peng’s telling, it depends on whether the various parties that need to be satisfied would accept it.
Softer versions: Castle and OranjeBTC
The article also describes softer implementations of the spendable-balance idea. One is Castle. Peng says businesses can hold reserves in STRC, liquidate STRC into cash on demand, and then use that cash for operating expenses. The conversion follows normal securities T+1 settlement.
He compares that setup to a brokerage account connected to a payment provider. Neither the shares themselves nor a representation of the shares, such as a token, is transferred to the final payment recipient.
There are fewer obstacles, the article says, if the product is simply a fund that holds digital credit and does not make the fund interests peer-to-peer transferable. Peng points to OranjeBTC’s Digital Credit ETF in Brazil as an example.
In that case, the article says OranjeBTC also used a currency-hedging procedure to deliver yields denominated in Brazilian real. Peng adds that while the return stream could probably be replicated without much difficulty, it is still much more convenient for most people to buy a single ticker that handles the full process.
Conclusion and disclaimer
Peng’s conclusion is that, based on current developments and the present regulatory environment, debt-based tranching is likely to account for more of the activity in the L3 field. He also notes that both archetypes have multiple variations and says the article only covered a few versions. He plans to explore both existing and theoretical models in more depth later.
The article includes a disclaimer stating that the content was prepared on behalf of Bitcoin For Corporations for informational purposes only, reflects the author’s own analysis and opinion, and should not be relied on as investment advice. It also says nothing in the piece constitutes an offer, invitation or solicitation to purchase, sell or subscribe for any security or financial product.
Understanding Digital Money and Digital Yield first appeared on Bitcoin Magazine and is written by Allard Peng.