Opaque financial reports and R2: Revisited

AuthorVivek Singh,Mai Iskandar‐Datta,Sudip Datta
Published date01 January 2014
Date01 January 2014
DOIhttp://doi.org/10.1016/j.rfe.2013.08.001
Opaque nancial reports and R
2
:Revisited
Sudip Datta
a,
, Mai Iskandar-Datta
a
, Vivek Singh
b
a
Departmentof Finance, School of BusinessAdministration,Wayne State University,5201 Cass Avenue, Detroit,MI 48202, USA
b
Departmentof Finance and Accounting,College of Business,University of Michigan-Dearborn, Dearborn,MI 48126, USA
abstractarticle info
Articlehistory:
Received8 October 2012
Receivedin revised form 3 July 2013
Accepted1 August 2013
Availableonline 8 August 2013
JEL classication:
C1
D89
G19
M41
Keywords:
Earningsmanagement
Opacity
R
2
Discretionaryaccruals estimation
In this study, we revisit the link between R
2
(synchronicity) and earnings management (opacity) because of the
importance of the ongoingdebate on the relation between idiosyncratic riskand earnings management in the
nance and accounting literatures. Hutton et al. (J. Financial Economics, 2009) provide evidence of a positive
link between opacity and R
2
. They interpret their nding to imply that rmswithhighR
2
(high synchronicity)
have less rm-specic informationimpounded in their stock price. Our results for this relationship fail to unequiv-
ocally support the results reported in Huttone tal. (2009). We show that their re sultsare not only time variant but
also not robust to the alternative empirical technique recommended for panel data by Petersen (2009) and alter-
native estimation of discretionary accruals adjusted for rmpe rformanceprescribed by Kothari et al. (2005). We
also ndno support for a convexrelation betweenidiosyncraticrisk and opacity. The ndingsdocumentedin this
study substantiallyrevise some of Huttonet al.'s ndings in this important and growing area of research.
© 2013 ElsevierInc. All rights reserved.
1. Introduction
Recently,Hutton, Marcus, and Tehranian(2009) (henceforth, HMT)
examine the link between stock return synchronicity with the market
and the opacity of nancial statements. They argue that when less
rm-specic information is publicly available, individual stock returns
follow the broad market more closely, resulting in higher stock price
synchronicity with the market. Synchronicity is measured by R
2
obtained from the market model, which regresses the rm's stock
returnson the market returns.Hence, higher R
2
implies higher synchro-
nicity. HMT's evidence shows a positive linkbetween opacity, proxied
as earningsmanagement, and synchronicity. They interpretthis nding
to imply thatrms with higher synchronicityhave less rm-specicin-
formation impounded in the stock price. In addition, they conclude
from their analysis that opaque rms are more likely to experience
stock pricecrashes. Given the importanceof this topic and the continu-
ing debateon the relationship betweensynchronicity and the informa-
tion environment of the rm, we replicate HMT's analysis and also
apply prescribed alternative empirical methodologies and estimation
techniquesto revisit this issue. Our resultson the relation between idi-
osyncratic riskand opacity fail to support the ndings documented by
HMT. We show that the results and conclusions drawn by HMT are
not robust to theapplication of other empiricalestimation techniques,
in addition tobeing time-variant.
The debateinitiated by Roll (1988)regarding whether synchronicity
or low idiosyncratic volatility is associated with more transparency or
more opacityof rm-specic informationcontinues to generatesigni-
cant research interest. There is empirical evidence supporting both
sides of this debate. One strand of research documents support for the
view that low R
2
is associated with greater information transparency
(see, Durnev, Morck, Yeung, & Zarowin, 2003; Jin & Myers, 2006;
Morck, Yeung,& Yu, 2000; Piotroski & Roulstone, 2004).
However, this view is not beyond dispute. There is a signicant
countervailing body of research that supports the opposite argument
of a positive association between information transparency and stock
price synchronicity captured by R
2
(e.g. Ashbaugh-Skaife, Gassen, &
LaFond, 2006; Bartram, Brown, & Stulz, 2012; Chan & Hameed, 2006;
Dasgupta, Gan, & Gao, 2010; Rajgopal & Venkatachalam, 2011). West
(1988) attributes low R
2
to a greater level of non-informational noise
in stock returns,and Ashbaugh et al. (2006) show that Durnev et al.'s
(2003) resultsare not generalizablein an international setting. Recent-
ly, Grifn, Kelley, and Nardari (2010) have shown that countries with
better information environments have higher R
2
s, contrary to what
Morck et al. (2000) suggest. In addition,Teoh, Yang, and Zhang (2009)
and Kelly (2007)document that U.S. rmswith poor informationenvi-
ronments display greater volatility and conclude that low R
2
is not an
index for stock price informativeness. Other researchers attribute
Reviewof Financial Economics 23 (2014)1017
Corresponding author at: Department of Finance - Prentis 216, School of Business
Administration, Wayne State University, 5201 Cass Avenue, Detroit, MI 48202, USA.
Tel.: +1 313 577 0408;fax: +1 313 577 0058.
E-mailaddress: sdatta@wayne.edu (S. Datta).
1058-3300/$see front matter © 2013 ElsevierInc. All rights reserved.
http://dx.doi.org/10.1016/j.rfe.2013.08.001
Contents listsavailable at ScienceDirect
Review of Financial Economics
journal homepage: www.elsevier.com/locate/rfe

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