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Pricing Liquidity Risk with Heterogeneous Investment Horizons

Published online by Cambridge University Press:  03 April 2020

Alessandro Beber
Affiliation:
Beber, Alessandro.Beber@gmail.com, BlackRock and Center for Economic and Policy Research (CEPR)
Joost Driessen*
Affiliation:
Driessen, j.j.a.g.driessen@uvt.nl, Tilburg University
Anthony Neuberger
Affiliation:
Neuberger, Anthony.Neuberger.1@city.ac.uk, Cass Business School, City, University of London
Patrick Tuijp
Affiliation:
Tuijp, Patrick.Tuijp@ortec-finance.com, Ortec Finance and University of Amsterdam
*
Driessen (corresponding author), j.j.a.g.driessen@uvt.nl

Abstract

We develop an asset pricing model with stochastic transaction costs and investors with heterogeneous horizons. Depending on their horizon, investors hold different sets of assets in equilibrium. This generates segmentation and spillover effects for expected returns, where the liquidity (risk) premium of illiquid assets is determined by investor horizons and the correlation between liquid and illiquid asset returns. We estimate our model for the cross-section of U.S. stock returns and find that it generates a good fit, mainly due to a combination of a substantial expected liquidity premium and segmentation effects, while the liquidity risk premium is small.

Information

Type
Research Article
Copyright
© Michael G. Foster School of Business, University of Washington 2020

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