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Review of Financial Studies Vol. 32 No. 1 2019

Revealing Downturns

Martin C. Schmalz1; Sergey Zhuk2

1 Stephen M. Ross School of Business at the University of Michigan, CEPR, and ECGI · 2 University of Vienna

Abstract

When Bayesian risk-averse investors are uncertain about their assets’ cash flows’ exposure to systematic risk, stock prices react to news more in downturns than in upturns, implying higher volatility in downturns and negatively skewed returns. In good times, less desirable assets with low average cash flows and high market risk perform similar to more desirable assets with high average cash flows and low market risk, rendering them difficult to distinguish. However, their performance diverges in downturns, enabling better inference. Consistent with these predictions, stocks’ reaction to earnings news is up to 70% stronger in downturns than in upturns. Received July 7, 2014; editorial decision March 20, 2018 by Editor Laura Starks.

DOI
10.1093/rfs/hhy057
Volume
32
Issue
1
Pages
338-373
Language
en
Sources
openalex crossref bibtex:phds-export.bib

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