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Title: Valuing Private Equity Strip by Strip

Author(s): Arpit Gupta and Stijn van Nieuwerburgh

Publication Date: December 2019

Keyword(s): affine asset pricing models, Buyout, cross-section of returns, infrastructure, Natural resources, private equity, real estate, temporal pricing of risk, Valuation and venture capital

Programme Area(s): Financial Economics

Abstract: We propose a new valuation method for private equity investments. First, we construct a cash-flow replicating portfolio for the private investment, applying Machine Learning techniques on cash-flows on various listed equity and fixed income instruments. The second step values the replicating portfolio using a flexible asset pricing model that accurately prices the systematic risk in bonds of different maturities and a broad cross-section of equity factors. The method delivers a measure of the risk-adjusted profit earned on a PE investment and a time series for the expected return on PE fund categories. We apply the method to buyout, venture capital, real estate, and infrastructure funds, among others. Accounting for horizon-dependent risk and exposure to a broad cross-section of equity factors results in negative average risk-adjusted profits. Substantial cross-sectional variation and persistence in performance suggests some funds outperform. We also find declining expected returns on PE funds in the later part of the sample.

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Bibliographic Reference

Gupta, A and van Nieuwerburgh, S. 2019. 'Valuing Private Equity Strip by Strip'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=14241