Framing private credit evolution with asset class models will mislead
Private credit is not special. It is simply another way of harvesting risk premia.
Recent headlines would suggest otherwise. Concerns around incentives, underwriting discipline, liquidity, and execution have moved to the foreground, often framed in stark terms.
For those active across credit markets, none of this will come as a surprise.
What is being observed is not a structural anomaly, but a familiar pattern. Periods of stress expose assumptions that were previously accepted without challenge. Liquidity mismatches that appeared manageable in stable conditions begin to matter.
The more interesting question is not whether these risks exist. It is how they are identified, interpreted, and ultimately priced.
Digitised from the outside
If one were expecting a sudden transition toward continuous two-way markets in sponsor-backed direct lending, disappointment would be the natural outcome. No such transition is taking place.
What is happening instead is a build-out of the informational and analytical layers surrounding the asset class.
Loan-level data, once fragmented and anecdotal, is now being industrialised. Large datasets of private direct lending transactions are being standardised and made searchable. These platforms aggregate thousands of deals, linking borrower fundamentals, covenant structures, and portfolio holdings into something approaching a common language across public and private credit.
This is not a trivial development. Consistency of description is the foundation of comparability, and comparability is where relative value begins.
As Mark Phillips, global head of private credit at Bloomberg, puts it, “Standardised loan-level data is foundational to bringing private credit closer to the transparency and end-to-end workflows investors rely on in public markets. We believe that a data model that is consistent and interoperable between public and private credit is the only way that you truly unlock relative value analysis and ultimately gain true insight into price discovery.”
At the same time, workflow is evolving. The modern stack is no longer limited to monitoring a static portfolio. It now spans origination pipelines, refinancing activity, and secondary situations. The practitioner is not merely observing the market. They are triaging it.
The implication is straightforward. Private credit is no longer a black box. It is a grey one, with increasingly well-defined edges. That distinction will matter once we move from data to price.
Price is not observed. It is inferred.
The central problem remains intact. Most private credit instruments do not trade. Even in more liquid segments of fixed income, only a fraction of securities are actively quoted at any given time. The rest exist in a state of implied value, supported by sporadic transactions and a continuous flow of market colour.
That conversation matters more than is often acknowledged.
In credit markets, pricing rarely emerges from a centralised order book. It forms through a dispersed network of indications, negotiations, and relative comparisons. Data, in its raw form, is often fragmented and inconsistent.
The digital response to this has been pragmatic rather than revolutionary.
Evaluated pricing, liquidity analytics, and cross-asset comparison tools are becoming the bridge between public and private markets. Institutions are increasingly able to map private exposures against a broader universe through a more consistent and comparable data framework.
This is not price discovery in the classical sense. It is something closer to triangulation, built on increasingly structured and comparable signals.
What is changing is not the absence of data, but the ability to structure and interpret it consistently.
As Sourav Srimal, chief growth officer at SOLVE, notes,
“More data on its own doesn’t improve decision-making. What matters is the ability to turn that data into consistent, timely signals. In private credit, that means standardizing inputs and tracking shifts in credit quality such as non-accruals, PIK usage, maturity extensions, and debt-to-equity conversions within a broader market context.Mapping these instruments to the broadly syndicated loan universe enables investors to perform relative value analysis across public and private markets.The outcome isn’t perfect transparency, but a more informed and responsive investment process.”
The best investors are no longer searching for a single “true” price. They are assembling a pricing mosaic. Quotes, trades, comparable instruments, portfolio disclosures, and market colour all contribute to a composite view. Confidence emerges when enough of these signals align, and when those signals can be compared across markets.
Liquidity, in this context is conditional rather than continuous.
The venue stack exists but does not extend all the way
There is a temptation to assume that the evolution of electronic trading in public credit markets will naturally extend into private credit. The infrastructure is certainly there.
Multilateral Trading Facilities (MTFs) and Organized Trading Facilities (OTFs), along with a range of electronic protocols, have transformed how bonds and other eligible instruments are traded. Order books, request for quote (RFQ) systems, and portfolio trading have introduced efficiency and transparency into segments that were once entirely voice-driven.
That progress is real. It is also adjacent.
The core of private credit, particularly bilateral sponsor-backed loans, remains outside this venue ecosystem. The legal structure, bespoke terms, and inherent heterogeneity of these instruments resist standardization.
This is not a failure of technology. It is a reflection of the underlying product.
The tools for execution exist. The instruments themselves are not yet compatible with those tools at scale.
The digital edge, therefore, does not lie in full automation. It lies in comparison, surveillance, and selective execution when conditions permit.
Transparency reform Is changing the reference frame
While private credit itself remains largely off-venue, the environment around it is becoming more transparent.
Regulatory reforms in Europe, particularly under the MiFIR review, are now being implemented and are improving the depth and usability of post-trade data in bond markets.
Transaction reporting provides a more detailed view of activity across currencies, sectors, ratings, and trade sizes.
For an institutional investor, this matters in a very practical way.
The most relevant comparable for a private asset is often not another private asset. It is a public one that shares similar characteristics. Improved transparency in bond markets enhances the ability to construct these comparables with greater precision.
This creates a form of indirect price discovery.
Private credit is not suddenly transparent. The instruments themselves may never be. What has changed is the clarity of the surrounding landscape. The map has improved, even if the terrain remains uneven.
Secondary markets exist but do not behave like markets
There is now little debate that a secondary market for private credit exists. The more relevant question is how it behaves.
Activity tends to cluster around moments of stress or transition. Fund-level liquidity needs, refinancing events, and portfolio adjustments create windows in which assets move from “hold” to “for sale.”
These are not continuous markets. They are episodic.
Pricing in these situations is not driven by a steady flow of bids and offers. It is driven by motivated participants. A seller who needs to exit. A buyer who sees relative value. The intersection of those motivations produces a level.
This is where the distinction between a yield of 6% and 10% becomes meaningful. At 6%, an asset may be acceptable to hold. At 10%, it becomes interesting enough to trade. Technology does not create that spread. It helps identify when it has emerged.
The conundrum then becomes behavioural rather than technical.
An asset yielding 10% may suddenly attract a different class of buyer. The question is not whether that capital exists. It is how the opportunity becomes visible in a market that still relies heavily on relationships and controlled distribution.
Tools are improving and data is becoming more structured, yet access remains uneven. Capital for these situations is not scarce. It is selective, mandate-driven, and often difficult to connect to the right opportunity.
This is where the tension begins to surface. Greater transparency may benefit the marginal buyer, but it does not necessarily align with the interests of the issuer or the originator. Relationship managers, whose role has traditionally included controlling the flow of information, may find themselves disintermediated.
The result is a set of competing incentives that a purely quantitative framework cannot fully capture. Price discovery, in this context, is shaped as much by access as by information.
The role of data and analytics here is diagnostic rather than generative. It highlights dislocations. It does not eliminate them.
Origination is becoming a data problem
The digital transformation of private credit is not confined to secondary activity. It is increasingly visible at the point of origination.
Borrowing base analysis, scenario modelling, and portfolio construction are moving away from static spreadsheets toward structured, real-time systems. Financing decisions are increasingly informed by dynamic inputs rather than fixed assumptions.
This shift has two effects. It improves discipline at the point of underwriting. It also creates a more continuous flow of information that can later inform valuation and secondary decisions.
The path from origination to refinancing to sale is becoming more connected. The lifecycle of a loan is no longer a sequence of discrete events. It is a data stream.
Follow the data density
Not all segments of private credit are equally amenable to this evolution.
Asset-backed finance stands out.
These structures are inherently data-rich, with defined collateral, observable cash flows, and closer analogues in public markets. This makes them more suitable for digital analysis, comparability, and more consistent pricing.
It is not coincidental that institutional allocators are increasingly focusing on these areas. The appeal is not only diversification or yield. It is intelligibility.
The more granular and recurring the underlying data, the easier it becomes to build confidence in valuation.
Tokenization Is Not the Answer. At Least Not Yet.
There is a growing narrative around tokenization and digital infrastructure in private markets. It is directionally interesting and strategically important. It is also, at times, misunderstood. I include myself in that camp before looking at it more closely.
Current developments are largely focused on fund issuance, distribution, settlement, and increasing the frequency of valuation updates. These are meaningful improvements at the wrapper level. They do not fundamentally alter the liquidity characteristics of the underlying assets.
A daily NAV is not the same as a tradable price.
Clarity on this point is essential. Otherwise, there is a risk of conflating operational efficiency with market depth. The industry has seen before how quickly convenience can be mistaken for liquidity, particularly when underlying incentives remain unchanged.
What This Means in Practice
Private credit is not becoming exchange-traded. It is becoming digitally legible.
That distinction matters.
It means:
- more consistent loan-level data
- stronger comparability with public and semi-public credit markets
- improved liquidity analytics
- more effective portfolio surveillance
- better tools for financing and risk management
- and a secondary market that activates when conditions force price discovery
What it does not mean is continuous liquidity or universally observable prices.
None of these developments remove the role of incentives, relationships, or information asymmetry.
Private credit remains a negotiated market. Access matters. Information is still curated. Distribution is not neutral.
Technology can improve visibility. It cannot fully democratize access.
This creates a persistent tension. Greater transparency may benefit the marginal buyer, but it does not always align with the interests of the issuer or the originator.
The result is a market in which price discovery is shaped not only by data, but by who is willing to share it.
Final Thought
There is a tendency to search for a single narrative. Private credit is either resilient or fragile, opaque or transparent, stable or vulnerable.
Reality is less accommodating.
This is a market in transition. Not from private to public, nor from illiquid to liquid, but from obscure to intelligible.
It is a quieter shift, and likely a more durable one.
The question is no longer whether the risks exist.
It is who is able to see them first.
©Markets Media Europe 2025
