Credit Risk and the Private Equity J-Curve: A Framework for Risk-Adjusted Performance Measurement

Abstract

We develop an Expected Credit Loss (ECL) framework that enables institutional PE investors to quantify embedded credit risk during the J-curve trough, when re-commitment decisions are made, and traditional metrics are least informative. The framework complements rather than replaces traditional metrics, adapting ECL methodology from banking regulation to provide fund-level comparison on a credit-adjusted basis. Illustrative calibrations suggest embedded credit risk varies meaningfully with vintage year, sector concentration, market conditions, asset composition, and GP quality, with peak-vintage funds embedding 500-800 basis points of risk invisible to traditional IRR. We develop actionable thresholds for portfolio construction, performance evaluation, and GP selection, though external validation requires proprietary portfolio company default data that is not publicly available.

Keywords: Private Equity, Credit Risk, Expected Credit Loss, J-Curve, IRR, Performance Measurement

JEL Classification: G23, G11, G24, G32