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Global risk factors in the returns of listed private equity

Jörg Döpke (Department of Business Administration and Information Sciences, University of Applied Sciences Merseburg, Merseburg, Germany)
Lars Tegtmeier (Department of Business Administration and Information Sciences, University of Applied Sciences Merseburg, Merseburg, Germany)

Studies in Economics and Finance

ISSN: 1086-7376

Article publication date: 7 June 2018

Issue publication date: 20 June 2018

556

Abstract

Purpose

The purpose of this paper is, to study macroeconomic risk factors driving the expected stock returns of listed private equity (LPE). The authors use LPE indices divided into different styles and regions from January 2004 to December 2016 and a set of country stock indices to estimate the macroeconomic risk profiles and corresponding risk premiums. Using a seemingly unrelated regressions (SUR) model to estimate factor sensitivities, the authors document that LPE indices exhibit stock market βs that are greater than 1. A one-factor asset pricing model using world stock market returns as the only possible risk factor is rejected on the basis of generalized method of moments (GMM) orthogonality conditions. In contrast, using the change in a currency basket, the G-7 industrial production, the G-7 term spread, the G-7 inflation rate and a recently proposed indicator of economic policy uncertainty as additional risk factors, this multifactor model is able to price a cross-section of expected LPE returns. The risk-return profile of LPE differs from country equity indices. Consequently, LPE should be treated as a separate asset class.

Design/methodology/approach

Following Ferson and Harvey (1994), the authors use an unconditional asset pricing model to capture the structure of returns across LPE. The authors use 11 LPE indices divided into different styles and regions from January 2004 to December 2016, and a set of country stock indices as spanning assets to estimate the macroeconomic risk profiles and corresponding risk premiums.

Findings

Using a seemingly unrelated regressions (SUR) model to estimate factor sensitivities, the authors document that LPE indices exhibit stock market ßs that are greater than 1. The authors estimate a one-factor asset pricing model using world stock market returns as the only possible risk factor by GMM. This model is rejected on the basis of the GMM orthogonality conditions. By contrast, a multifactor model built on the change in a currency basket, the G-7 industrial production, the G-7 term spread, the G-7 inflation rate and a recently proposed indicator of global economic policy uncertainty as additional risk factors is able to price a cross-section of expected LPE returns.

Research limitations/implications

Given data availability, the authors’ sample is strongly influenced by the financial crisis and its aftermath.

Practical implications

Information about the risk profile of LPE is important for asset allocation decisions. In particular, it may help to optimally react to contemporaneous changes in economy-wide risk factors.

Originality/value

To the best of authors’ knowledge, this is the first LPE study which investigates whether a set of macroeconomic factors is actually priced and, therefore, associated with a non-zero risk premium in the cross-section of returns.

Keywords

Acknowledgements

The authors would like to thank an anonymous referee, the editor Phillip Maschke, Karsten Müller and participants of the 24th Annual Conference on Pacific Basin Finance, Economics, Accounting and Management held on 11 and 12 June 2016 at National Chiao Tung University Hsinchu, Taiwan for helpful comments on previous drafts of this paper. The authors are also grateful to Anna Ptitsyna and Julian Johns for intensive proofreading. All remaining errors are of authors.

Citation

Döpke, J. and Tegtmeier, L. (2018), "Global risk factors in the returns of listed private equity", Studies in Economics and Finance, Vol. 35 No. 2, pp. 340-360. https://doi.org/10.1108/SEF-03-2017-0069

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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