As private credit ratings come under more scrutiny, Kanav Kalia (pictured), managing director at Oxane Partners, explains why firms need a connected operational infrastructure to support timely, transparent and secure rating processes.
The growth of private credit is seeing valuations enter a new, more institutional category. As the asset class expands to a broader investor base, firms face higher expectations in terms of valuation, such as greater frequency, and stronger defenses under stress events.
That puts pressure on existing analytics systems. Spreadsheet-heavy models, piecemeal review workflows, and slow market-built valuation cycles are expanding as portfolios become more complex and financial structures more sensitive to net asset value (NAV) and leveraged performance.
In fact, much more is now being demanded of independent credit analysis programs; As well as producing multiple measurement results, firms need to ensure that those measurements continue even as conditions change.
Change over measurement from time to time
Private credit has evolved faster than the analytical processes that support it. Standard review cycles and spreadsheet-led workflows are now being extended as the asset class grows in scale and complexity. Lenders are asking sharp questions, and boards, auditors and limited partners expect greater transparency in how ratings are generated and reviewed.
High frequency NAV expectations are a visible signal of this change. But this change is not only about the frequency of measurement, it is also about how firms are prepared to operate. Firms need consistent valuation processes when market conditions change, industry forecasts shift, collateral performance weakens or investors and lenders demand sharper interpretations.
That’s because valuation is now much closer to the main mechanics of private credit. Market volatility, regulatory scrutiny and the proliferation of liquid and semi-liquid fund structures are increasing valuation expectations beyond the typical quarterly cycle. Valuation no longer supports investor reporting only; they are increasingly making investment decisions, financing negotiations and confidence in portfolio performance.
So the measurements move from periodic reporting movements to continuous performance.
Data reliability is important
A rating symbol is only as reliable as the assumptions and input it is based on. In private credit, that input often resides in borrower reports, collateral tapes, employee files, agreement packages, agency policies, financial statements and internal projections.
If that input is separated, compiled by hand or stuck in inconsistent spreadsheets, grades can still be produced, but the process becomes harder to trust and secure. It takes a very long time with a lot of manual effort to run the process. This becomes more critical as the portfolio becomes more granular and valuation expectations become more responsive to changing market conditions.
Robustness estimates depend on reliable data before a period of stress or displacement, not after one. When core information is isolated or siloed, firms lose time at the very moment they need to be clarified.
Data is where the measurement process begins. It needs to be built on clean, standardised, ready-to-ingest data, to support portfolio monitoring, credit workflow, reporting and valuation reviews in one connected operational layer.
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The importance of transparency
Generating an estimate is only one part of the process. Firms also need to explain how they arrived at that valuation and support it when questions arise.
Stakeholders increasingly want to understand the process behind the brand: what ideas were used, what method was used, and how it was updated.
The measurement process is only secure when the judgment behind it is visible, documented and traceable. The value of a clear decision is most evident when the balance is challenged. In those times, firms need to show not only the brand, but the input, thought and reason behind it.
That level of transparency doesn’t just come from disclosure. Transparency should be fundamental to the code of conduct, not just compliance. It gives teams the confidence to measure and control the environment to support decisions clearly and consistently.
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Measurements under pressure
In stable markets, decentralized processes and manual methods can remain hidden. In a volatile and stressful market, they are evolving quickly.
Sector weakness, credit deterioration, liquidity pressures, and financial sensitivities can all challenge rating assumptions. This is particularly important in private credit, where valuation judgments often depend on borrower-specific information, collateral performance and the unique risks of private instruments.
Therefore, a robust independent credit rating process requires more than just a model. It requires clear motivations for when assumptions should be revised, how the context of the sector is reflected and how these changes flow through fund, area and borrower level views.
The real test of rating quality is whether the process can hold up when credit conditions change and assumptions come under pressure, a very important factor in today’s uncertain macroeconomic environment.
The need for a connected operating model
As private credit goes beyond direct lending to the wider Private Credit+ strategy across asset-based finance, fund finance, guaranteed products and other complex credit strategies, the workplace itself is becoming increasingly connected. If the underlying assets, financial structures and data flows are too complex, the measurements cannot continue to exist in isolation. The level of measurement is increasingly dependent on the surrounding operating model.
Analysis teams need connected visibility into all portfolio activity, collateral data, borrower trends, credit institution policies, deal movements, cash controls, reporting results, and situational analysis. This is where the performance model becomes important as a measurement method itself.
Oxane’s opinion on Private Credit+ reflects this fact. The market needs purpose-built technology, deep credit expertise, and an operational layer that connects pricing and portfolio monitoring, credit services, servicing, reporting, and risk workflows. Operational readiness cannot be achieved with disconnected measurement tools or spreadsheet-driven workflows. Platforms like Oxane Panorama help firms move from disparate measurement processes to a more connected, transparent and secure operating model built for scale.
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The next stage of maturity is measurement
Measuring private debt is no longer just a formal reporting requirement. It is becoming a test of whether firms are ready to act to renew the valuation, explain the assumptions behind it and protect it when conditions change.
As the asset class continues to grow, leading firms will be those that do not treat valuation as a stand-alone process, but as part of a connected operational infrastructure built for measurement, analysis and market volatility.
This is commercial content, produced in partnership with Oxane Partners.
