There is a fundamental verification and knowledge problem with private creditworthiness. Recent market developments have brought these issues into greater focus. As liquidity tightens and redemption pressure increases, private markets are experiencing a structural test quite than a cyclical slowdown. Years of capital accumulation in semi-liquid structures are actually colliding with more constrained liquidity conditions, creating tensions between asset valuations and the flexibility to appreciate those valuations.
The disconnect between fund managers and investors is reflected within the persistent discounts seen by business development firms (BDCs) in comparison with reported net asset values ​​(NAVs). These discounts reflect credit risk, liquidity and market conditions, but additionally signal that investors are applying a reduction when they can’t fully interpret or validate model-based valuations against market prices. These discounts reflect credit risk, liquidity and market conditions, but additionally highlight the gap between model-based valuations and market prices – particularly when investors attempt to derive value from non-traded assets.
The private credit sector lacks comparable public market mechanisms – continuous pricing, mandatory disclosure and standardized auditing – that ensure transparency and external validation. As a result, investors have limited ability to independently confirm how valuations are created.
Verification makes assessment assumptions not correct, but transparent, reproducible and verifiable. In a market where key inputs proceed to be judgment-based, improving verifiability doesn’t eliminate uncertainty, but it could possibly reduce ambiguity about how valuations are created.
This post explores how a mixture of approaches, including statistical data verification, cryptographic evidence, and stress testing, can improve various facets of the verification process and increase confidence in private credit scoring.
