Digital money and digital yield built on top of digital credit can be roughly categorized into two different architectures: debt-based tranching structures and full-reserve, spendable balance structures. That is the central framing of an analysis published by Bitcoin Magazine and written by Allard Peng for its Bitcoin For Corporations column, which offers a general overview of both models and an examination of their economic implications. For readers tracking corporate Bitcoin adoption, the analysis is effectively a map of how a credit market is forming on top of Bitcoin treasury holdings—an extension of the corporate Bitcoin story from balance-sheet accumulation toward structured income and money-like products.

Digital Credit, Digital Money, and Digital Yield

Digital Credit refers to the credit-like instruments issued by corporations with large Bitcoin balance sheets. Today, those consist of five Nasdaq-listed perpetual preferred equities—STRC, SATA, STRK, STRF, and STRD—and all five rank as the top five most liquid preferred equity securities in the United States. Perpetual preferred shares are a standard capital-markets instrument—dividend-paying, carrying no maturity date, and ranking ahead of common equity in an issuer's capital structure—which is what positions them as the senior, income-bearing layer this framework builds on. In the framework outlined, Digital Credit is considered "L2" because it is built on top of Bitcoin, which is "L1."

Digital Money and Digital Yield are the "L3" products that could be built on top of Digital Credit. The terminology comes from the vocabulary popularized by Michael Saylor in corporate Bitcoin discourse, used to describe the economic ecosystem emerging from public companies issuing Bitcoin-linked securities. Bitcoin itself is, of course, digital money; under this paradigm, however, Digital Money describes an instrument that holds a very stable fiat-denominated value while being built on top of Digital Credit, while Digital Yield describes an instrument that concentrates and amplifies the yield of Digital Credit. Both are L3, since they exist above the L2 Digital Credit layer.

With those terms established, the analysis turns to the different architectures for building them.

Debt-Based Tranching

The first and primary architecture is a debt-based tranching structure in which digital credit serves as the base collateral asset. The junior tranche is effectively leveraged long digital credit, while the senior tranche is effectively principal-protected through the junior tranche's permanent capital. This is by far the most common structure today, with a considerable amount of assets under management inside such systems. Tranching itself is a familiar technique from traditional structured finance, in which a pool of credit assets is split into senior and junior slices carrying different risk and return profiles; what is new here is not the mechanism but the collateral base—Bitcoin-backed corporate credit.

One example is Saturn, a tokenized protocol that holds a large amount of STRC. The financial engineering built on top of Saturn is Strata, which applies the same tranching approach—the name "Strata" likely refers to stratifying the different financial layers within the setup.

Another significant example is UTXO Management's Preferred Income Strategies LP, a dual-class fund with a junior fund share class and a senior fund share class. The junior shares are effectively leveraged long the underlying digital credit portfolio, while the senior shares receive a highly principal-protected 7.5% annual yield. The caveat is that the portfolio value cannot fall below the invested capital representing the seniors' original principal: seniors must get all of their principal back before the juniors can get paid. UTXO is also able to run other alpha-generating strategies that may reduce the downside risk of the digital credit portfolio, or employ relative value trades to capture market mismatches. Such actions increase the returns of the total portfolio. Because the juniors are leveraged long that portfolio, they have the potential to outperform, while the seniors hold the entire principal-protection cushion. Tranching through the two share classes therefore matches different parties' risk preferences and total-return objectives in a way that serves both investor profiles.

The basic structure closely resembles what a digital credit issuer such as Strategy or Strive does with its own capital structure. When an issuer raises capital using preferred equity or debt, it creates a more senior layer that becomes the principal-protected layer—albeit through asset value coverage rather than encumbered, callable protection—while the common equity becomes the junior tranche, effectively leveraged beyond the underlying asset. In other words, digital yield and digital money products built on top of digital credit through this tranching structure represent a higher-order retelling of the same digital credit and digital capital maneuvering performed one layer below.

Any leveraged system that borrows money and then invests the borrowed money into digital credit is effectively engaging in the same Layer 3 tranching methodology: the borrower becomes leveraged long, and the counterparty who provides the funds becomes principal-protected. Beyond raw asset coverage ratios, the specific degree of principal protection depends on whether the collateral asset—in this case, the digital credit instrument—sits in some form of custody that can be enforced. Put differently, should the digital credit position go underwater, the creditor should be able to take possession of the assets, liquidate the collateral, and be made whole. Enforceability depends on the exact parameters of each structure. In the case of something like Strata, enforcement runs through a blockchain consensus-dependent smart contract, and trust resides in the successful execution of that contract. Within the UTXO Preferred Income Fund, an enforceable structure exists inside the confines of a regulated hedge fund in which all limited partners participate.

A key insight is that such a debt-based structure is far broader and more general than one might initially suspect. Consider somebody who takes out a mortgage against their house and buys digital credit with the proceeds. They have, to some extent, created the L3 concept, because money is being created via the traditional fractional-reserve banking process and collateral has been encumbered. In that case, digital credit is not exactly the collateral—the house is—but the entire economic setup would not be possible without digital credit serving as an investable asset and a destination for borrowed capital. In a sense, a shadow-banking condition emerges if a widespread group of people takes out loans of various forms, secured by other assets or even unsecured, and then uses the borrowed capital to invest in digital credit in order to be leveraged long.

The assets that emerge from that type of behavior are basically conventional credit. They are not tokenized, and there is nothing special about them; they take the form of an asset-backed security, and frankly, one would not even know that digital credit sat on the other side of it most of the time. For that reason, it is not completely precise to call such instruments the L3 digital yield concept, because they do not deal directly with digital credit. At the same time, the analysis describes this as a meaningful market mechanism which may emerge, and one that should be actively monitored as digital credit scales.

Potential Problems and Current Shortfalls

The most obvious problem with the debt-based tranching method is that there is no backstop besides the debtors' own balance sheets, and there is a constant need for debtors to take the leveraged long side for the system to work. This is a persistent issue that caps the scalability of L3 digital money and digital yield solutions. If a leveraged long party is always required in order to create the principal protection for the senior tranche, the model becomes constrained by the availability of leveraged long parties. First, there may be much better things to be leveraged long, so junior capital may be unavailable when more compelling opportunities exist elsewhere. Second, there is always a push-pull relationship between the seniors and the juniors. Because the entire arrangement exists within a tranche, the total portfolio is a zero-sum game: whatever the seniors gain, the juniors must lose, and vice versa. Seniors can therefore only demand yield up to a certain level before the juniors leave, while juniors must receive a return at least to a certain level before they would be willing to take the risk. This relationship needs to reach an equilibrium clearing price. But even at that clearing price, it is doubtful that there will be enough demand for leveraged long digital credit to persistently create the senior principal-protected position. The anecdotes from the tranching structures cited in the analysis support this exact challenge: there appears to be a relative shortage of participants willing to be juniors and a relative surplus of those willing to be seniors.

The way the fiat system solves this problem presents an interesting case study for L3's current shortcomings. Fiat solves it by having an elastic public balance sheet behind the private credit system. Commercial banks can create credit and deposit money, while the central bank supplies the ultimate settlement asset—often called M0, base money, or bank reserves. When systemwide deleveraging threatens the monetary system, the central bank can create reserves and replace disappearing private liquidity, while the Treasury, deposit insurer, or other public institutions can absorb or redistribute credit losses where policymakers choose to do so. This means the fiat system does not require a private actor to remain willing to be the marginal leveraged long investor during a panic: the public sector can temporarily take on that role and prevent forced deleveraging. Thus fiat money can remain present even when the leverage behind it disappears—something Digital Money implemented via the tranching architecture cannot do.

Equity holders and creditors can still be wiped out in the fiat system. But the distinctive feature of fiat is that there is no hard nominal constraint on the public sector's ability to manufacture the settlement asset needed to stabilize the financial system. The ultimate macroeconomic constraint on the sustained use of that capacity is the availability of real resources and the ability of individuals to tolerate the inflationary impact of such currency debasement. The analysis identifies this as the true limit of fiat's debt-based system at the societal level—and, indeed, as the core conclusion of Modern Monetary Theory.

It should be easy to see that digital credit does not have this type of backing today. It is doubtful that any central bank would consider buying digital credit when it is underwater in order to make investors whole, even though central banks do this often with traditional forms of credit such as mortgages and other bank loans. In that sense, the concept of a fiat-banking-like system constructed on top of digital credit to serve as widespread L3 digital money is dubious at best within the next few years. Certain things need to happen—the main one being better Basel risk weights for Bitcoin—and even then, meaningful progress would likely be quite slow. Lacking the support of the commercial banking system or the central banking system, the only capital that can come in as the leveraged Digital Yield juniors to support the creation of the Digital Money seniors is private capital willing to take the risk.

Full-Reserve, Spendable Balance

The second form of L3 digital money consists of full-reserve, spendable balances. A quick clarification: just because this model is "full reserve" does not imply that the tranching structure is "fractional reserve." Full reserve simply means that the available spendable balance is fully supported by unencumbered shares held on the spot.

The concept is to combine digital credit with a basket of other credit instruments to create a composite benchmark that is both highly liquid and yields over the risk-free rate—here the risk-free rate means the short-term U.S. T-bill rate. If the asset also had daily liquidity and could accrue interest on a daily basis, it would resemble a money market fund with added risk premium and volatility. If that instrument could then be tokenized or turned into a spendable balance, the result could be considered a digital currency that pays higher yield. Note that the composite benchmark is not required: one could hold only digital credit in the balance and make it spendable too. Since the volatility of digital credit is higher than that of short-duration credit instruments such as FLOT or FLTR (floating rate note ETFs) or JAAA or CLOA (AAA-rated CLO tranches), a purely digital credit balance would be a more volatile, albeit higher-yielding, spendable balance.

The real hurdle for this concept is regulatory acceptance. The analysis points to the recent plight over stablecoins and the Clarity Act, and how banks rejected Clarity because stablecoins serve as a big competitor to them. One of the most contentious issues was stablecoins paying yield, which would compete with traditional bank deposits. A spendable balance with a relatively stable par value that pays a higher-than-risk-free yield due to a credit risk premium would probably create even more of an issue. In that sense, the idea of using relatively-stable-value securities—of which digital credit is just one group—as spendable balances is a sensitive matter when considering the different parties that would need to be satisfied for this to become legally possible. How that standoff is resolved sets the backdrop against which any security-based spendable balance would have to be judged.

A softer version of the spendable balance concept is something like Castle: 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. This functions like a brokerage account connected to a payment provider; neither the shares nor a representation of the shares, such as a token, is transferred to the final recipient of the payment.

Of course, there are far fewer obstacles to creating a simple fund that holds digital credit without making the fund interests peer-to-peer transferable. OranjeBTC has done exactly this with its Digital ETF launched in Brazil. In this specific case, OranjeBTC has even employed a currency-hedging procedure to deliver yields denominated in Brazilian Real. Although this return stream can probably be replicated without much difficulty, the analysis notes it is far more convenient for most people to buy a single ticker that takes care of everything.

Conclusion

Existing developments and current regulatory parameters suggest that the debt-based tranching solution will likely account for the majority of activity within the L3 field. For observers, the near-term signposts are the ones the analysis itself flags: whether enough private capital is willing to take the leveraged-long junior side, how banking capital rules for Bitcoin evolve, and where US legislation lands on yield-bearing stablecoins. There are several different variations of both archetypes, several of which are covered in the analysis. The author states an aim to explore such models—existing and theoretical—in greater depth in the future.

Disclaimer: This content was prepared on behalf of Bitcoin For Corporations for informational purposes only. It reflects the author's own analysis and opinion and should not be relied upon as investment advice. Nothing in this article constitutes an offer, invitation, or solicitation to purchase, sell, or subscribe for any security or financial product.

This article, "Understanding Digital Money and Digital Yield," first appeared on Bitcoin Magazine and was written by Allard Peng.