SKEWNESS AND THE ASYMMETRY IN EARNINGS ANNOUNCEMENT RETURNS

Date01 June 2015
AuthorJ. Michael Pinegar,Ryan J. Whitby,Benjamin M. Blau
DOIhttp://doi.org/10.1111/jfir.12056
Published date01 June 2015
SKEWNESS AND THE ASYMMETRY IN
EARNINGS ANNOUNCEMENT RETURNS
Benjamin M. Blau
Utah State Unviersity
J. Michael Pinegar
Brigham Young University
Ryan J. Whitby
Utah State University
Abstract
Much of traditional asset pricing theory rests on the assumption of normality in the
distribution of stock returns. A growing body of research suggests that skewness in the
return distributions can affect asset prices. In this article we attempt to empirically
identify factors that inuence return skewness. Consistent with the theoretical literature,
we nd that prices during the postearnings announcement period are more convex for
rms that have tighter short-sale constraints and for rms that experience greater
disagreement among investors. Perhaps more important, we also nd that price
convexity is a key determinant in the skewness of stocks.
JEL Classification: G10, G12, G14
I. Introduction
Much of traditional asset pricing theory rests on the assumption of normality in the
distribution of stock returns. However, prior research documents negative skewness in
market returns (e.g., Black 1976; Christie 1982; Schwert 1989; Bekaert and Wu 2000)
and positive skewness in individual stock returns (Harvey and Siddique 1999, 2000;
Chen, Hong, and Stein 2001). The presence of skewness might introduce bias into some
of the asset pricing models that are used by both academics and practitioners.
Furthermore, more recent research suggests that investors might have preferences for
skewness, that will affect asset prices more generally. For instance, Barberis and Huang
(2008) use prospect theory to show that some investors will overweight the tails in return
distributions, thus leading to skewness preferences. Barberis and Huang show that these
preferences, if strong enough, can lead to stock price premiums and subsequent
underperformance. Empirical evidence seems to conrm these theoretical predictions as
The authors gratefully acknowledge helpful comments from Tyler Brough, Jared DeLisle, Anders Ekholm,
Paul Koch, Jason Smith, Zhe Zhang, the editor (Scott Hein), and seminar participants at Utah State University and
the 2012 Financial Management Association annual meetings.
The Journal of Financial Research Vol. XXXVIII, No. 2 Pages 145168 Summer 2015
145
© 2015 The Southern Finance Association and the Southwestern Finance Association
RAWLS COLLEGE OF BUSINESS, TEXAS TECH UNIVERSITY
PUBLISHED FOR THE SOUTHERN AND SOUTHWESTERN
FINANCE ASSOCIATIONS BY WILEY-BLACKWELL PUBLISHING
stocks with the most positive skewness signicantly underperform stocks with the most
negative skewness (Mitton and Vorkink 2007; Kumar 2009; Boyer, Mitton, and Vorkink
2010; Kumar, Page, and Spalt 2011). Given the evidence that indicates that skewness
affects asset prices, an important extension to this growing body of research might be to
identify factors that lead to skewness in the distribution of stock returns. The main
objective of this study is to provide these tests.
Underlying most theories of skewnes s are the assumptions of short-sale
constraints and heterogene ous expectations (Hong and Stei n 2003; Diamond and
Verrecchia 1987). Xu (2007) nicely develops the theoretical r elation between both
short-sale constraints an d heterogeneous beliefs and skewness. He argues that in t he
presence of constraints and he terogeneity, stock prices react more to good news than to
bad news, which will result in convex prices across the news signal and lead to more
positive return skewness. I n some initial tests, Xu shows that, in general, postearnings
announcement returns are indeed convex and that both short-sale co nstraints and
heterogeneous beliefs dire ctly affect skewness. In this article, we extend these
empirical results by examining several other predictions in Xu that have not been
tested. In particular, we test whether the price convexity in postannouncement returns
is directly related to both shor t-sale constraints and hetero geneous beliefs.
Furthermore, we test whether pr ice convexity affects the skewness in stock return
distributions.
Consistent with the predict ions in Xu (2007), we rst nd that price responses
following earnings announc ements are more convex for rms that ha ve tighter short-
sale constraints. These results hold in both univariate sorts and multivariate tests, and
suggest that stocks prices reac t more to good news than to bad news. Second, we nd
weak evidence that postanno uncement price convexity is al so driven by stocks with
greater heterogeneity when approximated with return volatility. We do not nd a
signicant link between price convexity and share turnov er, which has also been
shown to proxy for heterogene ous beliefs (Xu 2007; Berkman et al. 2009). Therefore,
the evidence between price convex ity and heterogeneity is weak at best . Third, we
examine whether price convexity is positively related to skewness. Results show that
the convexity in postannounc ement returns is a key determinant in contemporaneous
skewness for our sample of NYSE stocks. We are not, however, able to draw similar
conclusions when focusing on our sam ple of NASDAQ-listed stocks. To the ext ent
that both short-sale constraints and heterogeneous belief s can affect the skewness of
returns (as in Xu 2007), our empirical tes ts show that the relation between const raints
and skewness can be explained by constraint-induced price convexity. After
estimating this convexity, we show that NYSE-listed stocks with the gr eatest
convexity generally have the hi ghest return skewness. Combine d with our earlier
ndings, these results seem to indicate that although the lack of short selling and
greater disagreement among i nvestors can lead to higher skewne ss, the results from
our tests suggest that the mechanism through which this occurs is throu gh the
convexity associated with postannouncement returns. Give n the growing body of
research that discusses potential biases in asset prices cau sed by skewness, our
ndings contribute to this literature by identifying how stock returndistributions might
become more skewed.
146 The Journal of Financial Research

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