Conservatism and stock price informativeness

Published date01 April 2023
AuthorJoohyung Ha
Date01 April 2023
DOIhttp://doi.org/10.1002/jcaf.22608
Received: 19 September 2022 Accepted: 10 December 2022
DOI: 10.1002/jcaf.22608
RESEARCH ARTICLE
Conservatism and stock price informativeness
Joohyung Ha
Department of Accounting, University of
San Francisco, San Francisco, California,
USA
Correspondence
Joohyung Ha, Department of Accounting,
University of San Francisco, 2130 Fulton
Street, San Francisco, CA 94117,USA.
Email: jha6@usfca.edu
Abstract
This paper examines how conservative financial reporting influences stock price
informativeness, which is defined as the extent to which the current market
price reflects future earnings information. Using the accuracy of the future
earnings expectations embedded in the current equity price as a measure of
stock price informativeness, I find that conservative reporting is positively
associated with price informativeness. The results are robust to an alternative
stock price informativeness measure, namely, specific return variation or price
non-synchronicity. Furthermore, I also find that a greater positive association
between conservatism and stock price informativeness is associated with (1)
lower analyst coverage and decreased forecast dispersion, (2) greater bid–ask
spreads and greater R&D, and (3) lower financial disclosure quality, supporting
the argument that main channel by which conservatism improves stock price
informativeness is its impact on the information environment. Overall, the evi-
dence suggests that (1) conservatism improves stock price informativeness by
improving the firm’s information environment, and (2) the marginal benefit
of improvement in stock price informativeness via conservatism is more pro-
nounced in firms with poorer information environments. The results further
confirm that conservatism substitutes for information environments in ensuring
more accurate equity pricing.
KEYWORDS
accounting, conservatism, financial reporting, stock price informativeness
1 INTRODUCTION
Stock prices are shaped by information disclosed by
firms as well the information independently produced by
investors. This means higher quality financial reporting
and better disclosure improves stock price informativeness
(SPI) by improving the information environment (Dia-
mond & Verrecchia, 1991; Jin & Myers, 2006; Zuo, 2016).
Information about future earnings and cash flows is dis-
closed by a firm well before these are realized in earnings.
This information, in conjunction with other sources of
public signals or news independently generated by ana-
lysts, is reflected in the stock price. Price informativeness
is defined as the extent to which the current market price
reflects future earnings information. Price informativeness
is thus a function of at least three elements: the firm’s infor-
mation environment, its earnings informativeness, and
analysts’ price discovery efforts and ability. Accounting
conservatism affects all three elements. Although conser-
vatism has been widely documented for decades, little is
known for its effect on price informativeness. To fill this
gap, this study explores the impact of conservatism on a
firm’s SPI.
There are two differenttypes of accounting conservatism
recognized in the literature: conditional and uncondi-
tional. Conditional accounting conservatism (hereafter
J Corp Account Finance. 2023;34:273–295. © 2022 Wiley PeriodicalsLLC. 273wileyonlinelibrary.com/journal/jcaf
274 HA
simply conservatism) refers to the asymmetric timelier
recognition of losses versus gains (Basu, 1997), and is often
considered news-dependent conservatism. Unconditional
conservatism arises when firms simply adopt account-
ing rules that tend to systematically understate the book
value of net assets, therefore, it is often considered news-
independent conservatism. I focus on conditional conser-
vatism because the informational benefits associated with
conservatism are more applicable to the news-dependent
application of conservatism.i
Prior research provides supporting evidence that con-
servatism improves a firm’s information environment by
reducing information asymmetry between managers and
external parties such as debtholders (i.e., Ahmed et al.,
2002; Francis & Martin, 2010;Nikolaev,2010;Zhang,2008)
and equity holders (García Lara et al., 2011;Khan&Watts,
2009;LaFond&Watts,2008, García Lara et al., 2014;Kim
&Zhang,2016; Kim et al., 2013).ii More specifically, firms
with conservative reporting will have less information
asymmetry because bad news is recognized in the income
statement, while good news is disclosed through chan-
nels other than the income statement, such as the notes
to financial statements, conference calls, management
guidance, press releases, and so forth.
Prior research also provides mixed evidence regarding
the impact of conservatism on earnings informativeness.
Some researchers argue that conservatism results in more
accurate earnings information and improves the pre-
dictability of earnings by counteracting managers’ desire
to overstate earnings (Ball, 2001; LaFond & Watts, 2008;
Watt s, 2003). Lower information asymmetry and less
earnings management under conservatism could make
firms’ prices more informative about future earnings and
cash flows, which suggests that conservatism might be
positively associated with SPI.
Alternatively, others have argued that conservatism
intentionally creates biases in earnings, reducing the qual-
ity of earnings. For example, because conservatism intro-
duces transitory negative earnings shocks while delaying
recognizing good news in earnings, conservative reporters
have lower earnings smoothness and persistence. Accord-
ing to Tucker and Zarowin (2006), earnings smoothness
increases price informativeness by revealing managers’
private information. In this case, conservative firms’ lower
earnings smoothness and persistence would suggest lower
SPI. Accounting conservatism results in greaterdifferences
between good and bad news and thus delays the price
discovery at earnings announcements (Barth et al., 2020).
There are also conflicting views on how conservatism
affects analysts’ information environment. Prior research
documents that earnings management reduces analysts’
forecast accuracy and increases information asymmetries
between managers and information users (Burgstahler &
Eames, 2003; Givoly et al., 2011). As conservatism con-
strains earnings management, it could be argued that
financial analysts may produce more accurate forecasts
for conservative firms, implying a positive association
between conservatism and SPI. In line with this argu-
ment, García Lara et al. (2014) find that conservatism
helps to improve an information environment for financial
analysts, leading to greater analyst coverage, greater fore-
cast accuracy, and less forecastdispersion. However, some
studies report conflicting results, namely, that analysts do
not completely understand the downward bias in a firm’s
earnings due to conservatism and, in turn, they set target
price too high for conservative firms (Kim et al., 2019; Louis
et al., 2014; Mensah et al., 2004). These studies find that
analysts’ forecast errors and dispersion are higher for firms
with greater degrees of both unconditional and conditional
conservatism. On this view, a negative relation between
conservatism and price informativeness can be assumed.
The above arguments suggest that the links between
conditional conservatism and SPI are far from being set-
tled. Thus, whether conservative reporting policies are in
fact associated with SPI is an interesting research question.
This paper uses two measures of SPI. The first mea-
sure, developed by Fan et al. (2021), is the accuracy of the
future earnings forecasts embedded in the current equity
price. This measure is superior to the returns-based SPI
measure that has commonly been employed by prior stud-
ies, such as future earnings response coefficients (FERCs)
or stock return synchronicity measures. This is because
the returns-based measure primarily reflects changes in
expectations regardless of whether the underlying levels of
expectations are actually accurate. Fan et al.’s price-based
measure overcomes this shortfall because it distinguishes
between the level of expected future earnings and the level
of realized earnings. To develop their SPI measure, Fan
et al. first calculate a variable DIFF, which is the differ-
ence between a firm’s equity market value at the end of
period 𝑡and the firm’s capitalized realized aggregate earn-
ings for the subsequent T(set to 28) quarters and then
calculate ERR, which is the component of DIFF that is
unexplainable by a large set of variables that capture risk
and investors’ expectations for the future value created by
the firm after quarter t+T. This measure is a modified ver-
sion of Bai et al. (2016) informativeness measure, which
captures how well market prices predict future earnings.
Bai et al. (2016) measure can only measure the informa-
tiveness of a portfolio of firms for a specific year, while Fan
et al. (2021) measure can be estimated for a specific firm.
The latter measure is also more appropriate for the present
study because one of the main variables of this study, C-
Score, is based on stock returns, and using a return-based
informativeness measure would potentially confound the
results. For robustness, I use an additional measure,

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