Is the Optimism in CEO’s Letters to Shareholders Sincere?Impression Management Versus Communicative Action Duringthe Economic Crisis
Lorenzo Patelli • Matteo Pedrini
Received: 16 January 2013 / Accepted: 20 July 2013
� Springer Science+Business Media Dordrecht 2013
Abstract In this study, we explore the sincerity of the
rhetorical tone of 664 annual letters to shareholders (CEO
letters). Prior studies adopt Impression Management theory
to predict that firms obfuscate failures and emphasize
successes to unfairly enhance their image and maintain
organizational legitimacy. Yuthas et al. (J Bus Ethics
41:141–157, 2002) challenged such a view, showing that
firms reporting earnings surprises engage in ethical dis-
course with shareholders. We adopt the methodology of
Yuthas et al. (J Bus Ethics 41:141–157, 2002) to explore
the association between firm performance and the rhetori-
cal features of CEO letters in a large sample of Fortune 500
firms in the wake of the global economic crisis. In contrast
to most prior research, we find that optimistic tone is
congruent with both past and future performance. We
conclude that under tough macroeconomic conditions,
incentives to distort public information strategically are
low. Rather, firms tend to engage in communicative action
aimed at dialoguing with shareholders through sincere
disclosure. However, in our conclusions, we warn about the
impact of accounting and rhetorical manipulation on the
congruence between optimistic tone and financial
performance.
Keywords Discourse ethics � Optimism � DICTION �Impression management � Economic crisis
Introduction
Discursive narration is a fundamental manifestation of CEO
leadership (Fairhurst 2007). Prior literature has shown how
language is used by CEOs to manage reputation and build
organizational identity (e.g., Heracleous and Barrett 2001;
Weick et al. 2005; Kuhn 2008; Den Hartog and Verburg
1997). In particular, being a periodic, widely read, written,
signed, and public representation of a firm’s goals, actions,
and results, annual letters to shareholders (hereafter, CEO
letters) are an important element of a CEO’s discursive
narration (Courtis 2004). However, most prior literature has
neglected the ethical dimension of the discourse in CEO
letters. This is particularly concerning because there is ample
empirical evidence showing that investors use explanations
and interpretations presented in CEO letters to assess quality
of earnings and make investment decisions (e.g., Abraham-
son and Amir 1996; Henry 2008).
This paper offers an initial attempt to explore empiri-
cally the adherence of the rhetorical features of CEO letters
to principles of discourse ethics. We focus on the sincerity
principle which, according to Yuthas et al. (2002), could be
considered the most important principle of discourse ethics
because ‘‘different from factual correctness, adhering to
this principle requires that rhetors do more than simply
present correct information, but that they be authentic in
their representations so that other participants can develop
an understanding of their views’’ (p. 151). Following Yu-
thas et al. (2002), our investigation of the sincerity prin-
ciple is performed by contrasting Impression Management
and Communicative Action theory.
L. Patelli (&)
School of Accountancy, Daniels College of Business, University
of Denver, 2101 S University Blvd., Suite #360, Denver,
CO 80208, USA
e-mail: [email protected]
M. Pedrini
ALTIS-Postgraduate School Business and Society, Universita
Cattolica del Sacro Cuore, Via San Vittore 18, 20123 Milan,
Italy
e-mail: [email protected]
123
J Bus Ethics
DOI 10.1007/s10551-013-1855-3
Management and accounting literatures have usually
considered CEO letters to be mechanisms of impression
management (Hooghiemstra 2000). Impression manage-
ment is based on the obfuscation hypothesis, according to
which managers obfuscate failures and emphasize suc-
cesses (Clatworthy and Jones 2003). This means that the
presentation of accounting information in CEO letters is
deemed to be distorted in a systematic way to influence
share price (Bowen et al. 2005). Such a distortion can be
obtained through poor readability and manipulation of
rhetorical features (Merkl-Davies and Brennan 2007).
Yuthas et al. (2002) challenge the obfuscation hypothesis
of Impression Management theory, which views communi-
cation in CEO letters as a strategic action intended to exer-
cise influence. They argue that management narrative
disclosure could actually be a form of communicative action
intended to facilitate mutual understanding and promote a
common vision. Based on the conceptualization of Haber-
mas (1984, 1987) and Forester (1985), Yuthas et al. (2002)
provide partial evidence of communicative action in the
management discussion and analysis (MD&A) section of
corporate annual reports. In particular, the authors note that
firms might not be willing to engage persistently in impres-
sion management due to the need to maintain organizational
legitimacy. They offer anecdotal evidence that rhetorical
features of CEO letters of firms releasing earnings surprises
meet principles of discourse ethics, namely comprehensi-
bility, truth, sincerity, and legitimacy.
In this paper, we empirically explore the validity of the
arguments presented by Yuthas et al. (2002) on a large
sample of CEO letters. Moreover, we extend the reasoning
by Yuthas et al. (2002) supporting the view of CEO letters
as instruments of communicative action. Finally, we dis-
cuss implications for future empirical research on discourse
ethics.
Our findings provide empirical evidence of a significant
link between firm performance and optimistic tone. In
addition to replicating the univariate analyses proposed by
Yuthas et al. (2002) comparing rhetorical tone of CEO
letters across different performance quartiles, we utilize
regression analyses to examine the congruence between
performance and rhetorical tone of CEO letters. Based on
664 CEO letters of large U.S. publicly traded firms from
fiscal years 2008 and 2009 and controlling for several
factors including firm size, number of shareholders, and
growth opportunities, we show that optimistic tone is
strongly and positively associated with both past and future
accounting returns, suggesting the presence of sincerity in
CEO letters. We also report a non-significant association
between future performance and readability indicators after
controlling for past performance, indicating a complex
relationship between firm performance and comprehensi-
bility of CEO letters. Finally, we find an association
between engaging language of CEO letters and firm
performance.
Although the overall empirical evidence is mixed, many
prior studies examining the association between tone and
performance typically find results opposite to our findings
(Merkl-Davies and Brennan 2007). We argue that three
fundamental factors have been neglected in prior research.
First, as emphasized by Yuthas et al. (2002), organizational
legitimacy plays an important role in affecting the tone of
discretionary narrative disclosure. Persistent incongruence
between rhetorical tone and firm performance threatens
CEO reputation, and this is inconsistent with self-serving
behavior stressed by impression management studies.
Second, our empirical evidence underlines the relevance of
the context in which rhetorical manipulation occurs. Spe-
cifically, tough macroeconomic conditions characterized
by high uncertainty and unfavorable prospects can reduce
the incentives to impress shareholders and increase costs.
Finally, prior research does not generally adopt a com-
prehensive measurement of rhetorical features, failing to
control for competing rhetorical manipulation strategies. In
addition to highlighting limitations of prior research, we
discuss two main issues for future research on ethics of
corporate discourse, namely the intentionality of discourse
ethics and the impact of earnings management.
The paper is structured as follows. In the following
section, we present the theoretical background of our study.
Next, we describe the research methodology and results of
both univariate analyses adapted from Yuthas et al. (2002)
and a multivariate analysis based on a regression model.
The final sections discuss our findings and implications for
future research.
Theoretical Background
CEO letters fulfill fundamental strategic and accountability
functions (Amernic et al. 2010). They are discretionary
disclosure vehicles communicating various significant
aspects of organizations and their leaders. Prior studies
provide ample evidence on the effect of discretionary
narrative disclosure on investment decisions (e.g., Bagin-
ski, et al. 2004; Hutton et al. 2003; Matsumoto and Chen
2006; Henry 2008). The steady increase in the length of
corporate annual reports shown by Li (2008) highlights the
importance of CEO letters in introducing readers to a
complex document.
However, several prior studies argue that CEO letters do
not contain a neutral description of performance results and
are construed as forms of impression management through
which CEOs purposively influence communication rather
than seek mutual understanding. Schlenker (1980) defines
impression management as, ‘‘the conscious or unconscious
attempt to control images that are projected in real or
L. Patelli, M. Pedrini
123
imaginary social interactions’’ (p. 51). This concept has
been used in a myriad of business studies to investigate
how firms maintain endorsement and support from stake-
holders (Elsbach and Sutton 1992). According to Clat-
worthy and Jones (2006), CEO letters offer examples of
impression management insofar as their textual character-
istics reflect the self-serving goals of managers rather than
the actual performance results being communicated. When
they engage in impression management, CEOs control the
information released in the CEO letters to influence
shareholders’ judgment about managerial performance.
Impression management is consistent with the obfuscation
hypothesis, according to which managers obfuscate failures
and emphasize successes (Courtis 1998). In their summary
of the literature about disclosure strategies in corporate
narratives, Merkl-Davies and Brennan (2007) report that
prior studies have adopted agency (e.g., Abrahamson and
Amir 1996), signaling (e.g., Smith and Taffler 1992),
legitimacy (e.g., Ogden and Clarke 2005), stakeholder
(e.g., Hooghiemstra 2000), and institutional theory (e.g.,
Bansal and Clelland 2004) as theoretical foundations of the
obfuscation hypothesis. Strikingly, these different theories
converge in predicting that managers will engage in
impression management by tactically manipulating dis-
cretionary disclosure and instilling a favorable assessment
of performance. By reviewing prior empirical studies,
Merkl-Davies and Brennan (2007) find that obfuscation of
performance results is achieved through various conceal-
ment strategies that manipulate ease of reading, rhetorical
tone, thematic content, visual and structural effects, per-
formance comparison, and the choice of performance
metrics. For example, early studies report that the read-
ability of corporate narratives is negatively associated with
firm performance, suggesting the intentional use of com-
plex lexicon in order to obfuscate poor performance (e.g.,
Courtis 1986). Similarly, studies in accounting show how
visual and structural effects may be systematically dis-
torted to obscure real trends and depict more favorable
situations (e.g., Steinbart 1989; Beattie and Jones 1992;
Courtis 1997; Frownfelter-Lohrke and Fulkerson 2001).
Yuthas et al. (2002) challenge the view of corporate
narratives based on impression management, which domi-
nates the extant literature, and propose a different view based
on communicative action. In fact, prior empirical studies do
not provide unequivocal results for the test of the obfuscation
hypothesis (Aerts 2005; Merkl-Davies and Brennan 2007).
The Theory of Communicative Action by Habermas (1984,
1987) posits that actors in society rely on reasoned arguments
to obtain mutual understanding and cooperation. Commu-
nicative action is opposed to strategic action, whereby actors
in society are expected to engage in communication driven
by self-serving behavior. While through the lens of impres-
sion management, voluntary narrative disclosure is seen as a
strategic action undertaken to influence interpretations of
performance results, it is seen as a communicative action
undertaken to favor mutual understanding through the lens of
communicative action (Yuthas et al. 2002). From the Theory
of Communicative Action, Habermas (1984, 1987) gener-
ates the characteristics of discourse ethics based on four
ethical principles: comprehensibility, truth, sincerity, and
legitimacy (Forester 1985). Weber (2010) finds that CEO
language reveals elements of moral reasoning. Provis (2010)
discusses the ethics of impression management and con-
cludes that, as long as it is deceptive, impression manage-
ment can lead to harmful decisions based on the false
representation of performance. Conversely, Yuthas et al.
(2002) claim that communicative action leads to sincere
interpretations consistent with actual financial results and
performance forecasts. Therefore, Yuthas et al. (2002) con-
clude that impression management is inconsistent with dis-
course ethics, whereas communicative action supports an
ethical approach to corporate narratives.
Following Yuthas et al. (2002), we argue that prior
research has neglected fundamental factors underlying the
tension between the obfuscation hypothesis of impression
management and the Theory of Communicative Action.
CEO letters are routine disclosure vehicles, and a persistent
false representation of performance is economically unsus-
tainable because it would jeopardize organizational legiti-
macy. Indeed, Segars and Kogut (2001) provide empirical
evidence showing a positive association between credibility
(i.e., accurate accounting of performance results) of CEO
letters and firm performance. Merkl-Davies and Brennan
(2007) invoke more research based on non-routine disclo-
sure vehicles (e.g., IPO prospectus). However, CEOs are
more likely to engage in impression management with non-
routine vehicles because of the extraordinary nature of the
information and the difficulty for investors to monitor sin-
cerity given the non-recurring nature of the disclosure.
Therefore, more research on non-routine vehicles would lead
to biased conclusions in favor of impression management in
narrative financial disclosures. Conversely, routine disclo-
sure vehicles are more likely to reveal typical traits of
leadership, including engagement in discourse ethics and
communicative action (Amernic et al. 2010). Geppert and
Lawrence (2008) show that CEOs employ CEO letters as a
reputation management tool and firms with a high corporate
reputation tend to communicate in a simpler way and with a
more realistic rhetorical tone. In addition to corporate rep-
utation, individual reputation is at stake in CEO letters.
Persistent engagement in self-serving behavior through
routine discretionary financial disclosure inconsistent with
firm performance would lead CEOs to lose reputation with
significant consequences for their own personal wealth. On
this point, Amernic and Craig (2006) clarify that it is erro-
neous to assume CEOs are not the actual authors of CEO
Is Optimism Sincere?
123
letters. Whilst it is plausible for them to be crafted by pro-
fessional writers, CEO letters are perceived by stakeholders
as manifestations of CEOs’ leadership and CEOs would
hardly delegate to others any communication with such
potentially important consequences for individual reputation
(Amernic et al. 2010). Furthermore, we argue that the costs
of engaging in impression management are likely to be
higher when macroeconomic conditions are tough. Institu-
tional theory highlights the effect of social pressure on dis-
closure strategies (DiMaggio and Powell 1991). CEOs are
expected to conform to institutional norms. Economic
downturns exacerbate social pressure to obtain understand-
ing and transparency as happened, for instance, with the
increased scrutiny and subsequent regulation surrounding
the banking industry after the liquidity crisis in 2008.
Opportunistic deviations from the norm to impress and
manipulate perceptions could be extremely costly during
economic downturns for both organizational legitimacy and
CEO reputation. Moreover, according to research in psy-
chology, reactions to voluntary disclosure depend on
expectations (e.g., Mellers et al. 1997). Unexpected negative
news can generate extremely unfavorable reactions, leading
managers to engage in impression management. During a
global economic downturn, negative results are commonly
expected, reducing incentives for impression management.
Finally, D’Aveni and MacMillan (1990) make a distinction
between CEO letters of firms that are capable of successfully
overcoming difficult economic conditions and those of
failing firms. The former emphasize internal operations; the
latter distract readers from actual performance by empha-
sizing factors connected to the external environment. This
distinction suggests impression management could be more
likely in firms that are performing poorly, whereas com-
municative action is more likely to be associated with good
performance.
Overall, the discussion above identifies organizational
legitimacy, individual reputation, macroeconomic condi-
tions, and firm financial situation as fundamental factors
that affect the congruence between CEO rhetorical tone
and organizational performance. By testing the empirical
association between optimistic tone and accounting returns
in a large sample of CEO letters in the wake of the global
economic crisis, our objective is to explore the congruence
between rhetorical tone and firm performance in order to
gage the sincerity of CEO letters.
Methodology
Sample
Our sample comprises CEO letters of firms listed in the
Fortune 500 ranking. Focusing on large U.S. publicly
traded firms allowed us to build a large sample, as CEO
letters are not mandatory and voluntary disclosure has been
found to be richer in large firms (e.g., Ahmed and Courtis
1999). We consider CEO letters published in annual reports
of fiscal year 2008 and 2009. The global economic crisis
erupted with the collapse of Lehman Brothers Holdings,
Inc. in September of 2008 as a result of the burst of the
U.S. real estate bubble and spread quickly around the world
through the financial system, with dramatic consequences
for the global economy. From 2008 to 2010 (i.e., the period
for which we collected financial data from COMPUSTAT
of firms included in our sample), CEOs faced a sudden
turnover of performance results surrounded by uncertainty
in both causes and effects of the crisis. Under such con-
ditions of uncertainty and negative outlook, the choice of
engaging in impression management by obfuscating actual
performance results or communicative action by main-
taining discourse ethics bear significant consequences for
CEO credibility and organizational legitimacy.
From the initial list of firms in the 2010 Fortune 500
ranking, the full sample is reduced to 332 firms due to
research design choices and other data collection issues.
We required CEO letters to be an integral part of the annual
report. Therefore, we excluded 103 firms because CEO
letters were only available online or not included in the
annual reports. In order to obtain a matched sample
between 2008 and 2009, 49 firms were excluded either
because they were not listed on the 2009 Fortune 500 or
due to missing data in COMPUSTAT. Finally, 16 firms
were excluded because of outlier values for rhetorical
features, performance, or control variables. We performed
various tests to control for the representativeness of our
sample. Results (non-tabulated) of comparison of means
show that the overall initial population of Fortune 500
firms does not significantly differ from our final sample.
Moreover, we ran our analyses for an unmatched sample
(i.e., including firms listed just in 2008 or 2009) and by
replacing missing values with sample averages; neither
change affected our empirical results. Table 1 shows the
industry composition of our final sample, and Table 2
reports descriptive statistics of our empirical variables by
industry. More than 15 industries are represented with a
noteworthy concentration in the financial services and
information and communication technology industries.
ANOVA statistics in Table 2 indicate that our variables are
significantly different across industries, and in the follow-
ing analyses, we scale each variable by industry median for
this reason.
Textual Analysis Program
Most prior studies rely on syntactic analysis and focus on
merely two features of the lexicon of the corporate
L. Patelli, M. Pedrini
123
narratives, namely, text readability and frequency of posi-
tive terms. In line with impression management, reading
difficulty and optimistic tone are expected to be forms of
text manipulation employed to obfuscate bad results and
emphasize positive results (Courtis 1998; Cho et al. 2010).
Readability has been widely investigated by prior research,
including its relationship with firm performance (e.g.,
Subramanian et al. 1993), analysts following (Lehavy et al.
2011), liquidity (Smith and Taffler 1992), financial press
coverage (Courtis 1998), and corporate risk (Courtis 1986).
However, prior empirical research does not offer an
unequivocal result on the association between readability
and performance. Moreover, Merkl-Davies and Brennan
(2007) point out that prior studies failed to explain whether
poor readability is determined by impression management
or unintentional lexical deficiencies. Similarly, studies
examining the association between positive tone and per-
formance give mixed results (Merkl-Davies and Brennan
2007). The lack of comprehensive measurement of rhe-
torical features reduces the validity of prior studies that
emphasize the use of tone for impression management.
To overcome limitations of prior research, this study is
based on a thematic analysis using DICTION 5.0, a Win-
dows-based language-analysis program that uses a series of
dictionaries to search a passage for five master variables:
Certainty, Optimism, Activity, Realism, and Commonality.
By relying on 10,000 search words assigned to 35 linguistic
categories, DICTION supports analyses oriented toward
not only the form, but also the meaning of words (Sydserff
and Weetman 2002). The reliance on multiple linguistic
dictionaries controls for the synonymy issue that affects
syntactic analyses, including those based on readability
scores (Henry 2008). The synonymy issue refers to the
inability of capturing similarity of terms. Moreover, dic-
tionaries are consistently rooted in semantic theory and
avoid inter-rater reliability problems caused by the use of
subjective coding (Short and Palmer 2008; Davis et al.
2012). The theoretical and methodological rigor of DIC-
TION facilitates its application on large samples and
comparability across studies.
DICTION is designed to generate five master variables
whose values are determined according to a variable
structure proposed by Hart (2000) and inspired by seminal
semantic studies (e.g., Johnson 1946; Osgood et al. 1957).
Certainty indicates resoluteness, inflexibility, complete-
ness, and a tendency to speak ex cathedra. Optimism refers
to the words endorsing some person, group, concept, or
event or highlighting their positive entailments. Activity is
the variable capturing movement, change, the implemen-
tation of idea, and the avoidance of inertia; Realism focuses
on language describing tangible, immediate, and recog-
nizable matters that affect everyday life. Commonality
measures the emphasis on the agreed-upon values of a
group and the rejection of idiosyncratic modes of
engagement.
Prior studies conducted in different fields (for example,
Bligh et al. (2004) in organizational sciences and Ober
et al. (1999) in business communication) indicate that
DICTION possesses robust empirical validity (Alexa and
Zuell 2000; Short and Palmer 2008). In particular, its
automated procedure based on rigorous theoretical foun-
dations ensures objectivity and measurement validity (e.g.,
Davis et al. 2012). DICTION is appropriate for the analysis
of CEO letters from U.S. firms since its dictionaries were
constructed from the examination of U.S. texts. Hart (2001)
shows results of a large multicollinearity test performed on
the five master variables, indicating the statistical inde-
pendence of each variable from one another and, hence,
strong discriminant validity and reliability.
DICTION has also been used in prior empirical research
dealing with corporate narratives. Two prior studies (i.e.,
Sydserff and Weetman 2002; Yuthas et al. 2002) use the
complete set of variables provided by DICTION. However,
both Sydserff and Weetman (2002) and Yuthas et al.
(2002) measure all five master variables based on very
small corpora purely for illustrative methodological pur-
poses. Specifically, Sydserff and Weetman (2002) used the
Chairman’s statement and manager’s report of 26 small
UK Investment trusts, whereas Yuthas et al. (2002) used
the CEO letters and MD&A section in the annual report of
seven pairs of U.S. publicly traded firms reporting a very
bad or very good earnings surprise. Cho et al. (2010)
examine the environmental disclosure section in the annual
Table 1 Industry composition of sample
Industries Firms
Aerospace and defense 3.6
Apparel 1.2
Automotive 4.8
Chemical and pharmaceutical 7.3
Energy, oil, and gas 6.9
Engineering and construction 6.6
Financial and insurance services 15.4
Food and beverage 6.3
Health care 5.7
Home equipment 3.0
Industrial machinery 3.6
Information communication technology 11.5
Media and entertainment 3.3
Retailers 8.2
Tobacco 0.9
Utilities 6.3
Wholesalers 5.1
Is Optimism Sincere?
123
Table 2 Differences in the rhetorical tone and performance among industries
Industries Variables
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
Aerospace and defense
M 0.06 0.08 0.02 2.72 10.19 0.33 27,268 11.10 0.08 1,494 49.18 54.51 44.96 45.76 50.97
SD 0.03 0.05 0.01 6.75 0.91 0.13 19,92 0.85 0.28 718 5.65 2.09 2.48 2.50 1.87
Apparel
M 0.08 0.06 0.03 1.65 7.81 0.28 9,341 10.32 0.25 1,337 47.70 54.69 45.70 46.55 51.00
SD 0.04 0.12 0.01 0.94 1.64 0.16 5,99 0.37 0.46 377 7.09 1.97 2.32 1.77 1.26
Automotive
M 0.01 0.01 0.07 -0.91 8.96 0.13 15,892 10.23 0.44 1,197 50.59 52.76 46.54 45.33 50.19
SD 0.09 0.09 0.13 15.49 2.02 0.13 29 0.84 0.50 553 2.28 1.89 2.95 2.11 1.56
Chemical and pharma
M 0.08 0.08 0.04 3.60 9.83 0.26 17,051 10.03 0.08 1,727 48.88 53.97 45.35 45.52 50.52
SD 0.08 0.07 0.03 3.12 2.03 0.15 16,397 1.00 0.27 1,055 4.81 2.22 3.20 2.15 1.52
Energy, oil, and gas
M 0.03 0.08 0.12 1.56 9.84 0.05 45,774 9.12 0.22 1,439 49.34 53.13 45.31 45.08 51.70
SD 0.05 0.08 0.09 0.86 2.10 0.07 86,717 1.21 0.42 793 1.73 1.97 2.80 1.86 1.74
Engineering and construction
M 0.02 0.05 0.05 2.11 9.15 0.18 13,667 10.11 0.18 1,428 49.45 53.61 46.03 45.96 50.93
SD 0.04 0.05 0.04 3.08 2.73 0.13 11,448 1.15 0.39 687 3.99 2.26 2.57 2.21 1.93
Financial and insurance
M 0.02 0.02 0.00 2.10 9.47 0.10 26,982 9.98 0.28 2,288 48.18 52.84 46.10 46.47 51.15
SD 0.04 0.05 0.01 2.23 2.62 0.16 37,659 1.38 0.45 2,047 3.20 1.98 2.93 2.16 1.73
Food and beverage
M 0.08 0.05 0.05 4.82 10.31 0.21 41,761 11.38 0.15 1,492 49.68 53.80 45.68 46.69 51.03
SD 0.05 0.09 0.03 4.83 1.68 0.18 86,932 1.28 0.36 1,204 2.61 2.60 4.07 2.71 2.35
Health care
M 0.07 0.06 0.03 2.67 8.65 0.35 19,837 10.11 0.08 1,551 49.74 55.63 46.05 46.04 51.29
SD 0.04 0.05 0.02 2.39 2.39 0.22 22,917 0.76 0.27 550 1.76 2.48 2.66 2.01 2.01
Home equipment
M 0.06 0.05 0.03 0.12 9.91 0.40 15,518 10.25 0.20 1,607 48.73 54.62 45.01 44.85 49.87
SD 0.04 0.05 0.02 6.60 1.99 0.16 23,001 0.80 0.41 780 7.65 2.59 3.95 3.19 2.53
Industry machinery
M 0.05 0.07 0.03 3.30 9.08 0.27 12,004 10.37 0.08 1,743 49.03 53.83 45.59 45.62 50.55
SD 0.04 0.03 0.01 3.92 1.47 0.21 10,777 0.63 0.27 623 4.43 1.56 4.57 1.79 1.43
ICT
M 0.07 0.07 0.05 1.59 10.06 0.24 24,79 10.55 0.13 1,591 50.02 53.61 45.37 45.63 51.38
SD 0.06 0.10 0.04 13.06 2.09 0.13 32,935 0.99 0.33 746 3.78 2.10 3.50 2.76 2.33
Media and entertainment
M 0.03 0.04 0.03 2.75 9.45 0.33 14,431 10.46 0.38 1,795 49.31 53.87 45.54 45.73 50.68
SD 0.04 0.06 0.05 3.35 2.04 0.18 13,126 1.74 0.49 846 1.51 1.86 3.15 3.43 1.63
Retailers
M 0.06 0.06 0.06 4.14 8.36 0.13 18,719 11.00 0.16 1,391 48.99 53.92 45.37 46.25 51.38
SD 0.08 0.08 0.03 9.93 1.90 0.15 23,802 0.77 0.37 665 2.02 2.74 3.59 2.84 2.68
Tobacco
M 0.12 0.12 0.01 8.89 10.90 0.42 16,797 9.76 0.0 1,274 50.33 54.78 45.94 43.71 51.00
SD 0.06 0.08 0.01 5.44 0.87 0.19 7,501 1.16 0.0 510 1.62 1.97 2.13 1.40 1.12
Utilities
M 0.02 0.02 0.06 1.56 10.37 0.09 9,019 9.54 0.13 1,705 47.49 53.26 45.28 46.42 51.91
SD 0.03 0.03 0.02 1.44 1.20 0.13 3,659 1.05 0.34 1,049 7.66 1.84 3.07 2.12 1.52
Wholesalers
M 0.05 0.06 0.02 1.73 7.74 0.17 25,897 9.32 0.08 1,46 49.57 53.58 45.90 45.66 51.25
SD 0.03 0.05 0.01 1.15 1.94 0.11 31,332 0.88 0.28 631 1.49 1.99 2.87 1.49 2.07
L. Patelli, M. Pedrini
123
report of 190 firms and limit their analysis to Optimism and
Certainty. Finally, Davis et al. (2012) and Henry (2008)
calculated a modified version of Optimism based on a
corpus comprising earnings releases of U.S. firms. The
partial use of DICTION indicates a lack of a comprehen-
sive measurement of rhetorical features in prior research.
Moreover, it raises concerns about the validity of prior
results regarding optimistic tone, given the omission of
competing rhetorical features that could be used as alter-
native rhetorical manipulation strategies.
Data Analysis
We examine the association between rhetorical tone and
firm performance in two parts. The first part of the
analysis presents univariate statistics comparing the tone
of CEO letters from four groups of firms divided
according to performance results. We replicate the
methodology used by Yuthas et al. (2002) in order to
favor the interpretation of our findings in light of the
operationalization of discourse ethics proposed by Yuthas
et al. (2002). The second part provides results of a mul-
tivariate analysis where future performance is regressed
on the optimistic tone of CEO letters, controlling for four
other rhetorical features measured by DICTION and a
proxy for readability. Given the small sample size, Yuthas
et al. (2002) could not perform statistically significant
regression analyses.
Specifically, we use the DICTION master variable
Optimism, which measures the frequency of positive con-
cepts in a text (Hart 2000), to measure rhetorical tone.
Several prior studies associate Optimism to impression
management, particularly through emphasis on positive
news and disregarding of negative news (e.g., Cho et al.
2010; Sydserff and Weetman 2002). According to the
sincerity principle of discourse ethics (Yuthas et al. 2002),
Optimism must be positively related to firm performance,
meaning that sincerity is observed if positive tone is sup-
ported by good performance. Praise, Satisfaction, and
Inspiration are features increasing Optimism, whereas
Blame, Hardship, and Denial are features decreasing
Optimism (Hart 2000).
To measure firm performance, we collected financial
data from COMPUSTAT for four fiscal years (i.e., 2007,
2008, 2009, and 2010). Investors and analysts pay con-
siderable attention to the growth of revenue and profit to
make investment decisions and recommendations. There-
fore, we computed the 1-year percentage change in annual
revenue and profit relative to both the previous year and the
following year. The variables ROA and FROA measure past
and future return on assets, respectively. Return on assets is
a summary measure capturing the overall operating
profitability.
Findings
Univariate Analysis
The univariate analysis adapted from Yuthas et al. (2002)
enables us to explore the association between Optimism
and firm performance descriptively. Furthermore, the
analysis enriches our discussion by providing detailed
findings on the lexical elements of rhetorical tone. Fol-
lowing Yuthas et al. (2002), we split the sample based on
firm performance (i.e., past and future revenue and profit
growth) and examine the average score of Optimism. In
Tables 3, 4, and 5, firms are grouped into HIGHEST,
which includes firms reporting performance in the highest
quartile, and LOWEST, which includes firms reporting
performance in the lowest quartile. We compare scores of
HIGHEST and LOWEST to each other in Table 3, to the
average of the sample (including all quartiles) in Table 4,
and to normative scores, which are provided by DICTION
and are based on corporate reports of a sample of Fortune
500 firms in Table 5. In Tables 3 and 4, the significance of
the differences based on sample data is measured through
t statistics, which could not be obtained by Yuthas et al.
(2002) due to small sample size. In Table 5, the signifi-
cance of the differences based on DICTION normative
scores is assessed using the criteria proposed by Yuthas
et al. (2002). Specifically, differences are considered sig-
nificant when the value of the master variable Optimism
deviates at least by 2 % from the DICTION normative
Table 2 continued
Industries Variables
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
ANOVA 7.67** 4.61** 18.05** 1.71* 5.19** 16.94** 2.62** 12.45** 2.98** 3.34** 1.68* 4.44** 0.67** 2.2** 2.37**
01 Future return on assets, 02 Return on assets prior year, 03 Capital expenditures to assets ratio, 04 Price to book ratio, 05 Number of shareholders, 06 Intangible
assets to assets ratio, 07 Revenue, 08 No. of employees, 09 Loss, 10 Text length, 11 Activity, 12 Optimism, 13 Certainty, 14 Realism, 15 Commonality
N. obs.: 664; * p \ 0.05; ** p \ 0.01
Is Optimism Sincere?
123
Table 3 Comparison of
rhetorical tone between lowest
and highest performance
* p \ 0.05; ** p \ 0.01
Variables Lowest Highest Comparison
Highest vs lowest T stat.
Panel A: past revenue growth
Optimism 53.1 54.0 1.8 4.48**
Praise 6.2 7.1 13.9 3.53**
Satisfaction 3.5 4.5 26.5 3.27**
Inspiration 7.6 8.7 13.5 2.47*
Blame 1.0 0.8 -25.8 -3.24**
Hardship 1.9 2.8 45.1 1.04
Denial 1.3 1.6 26.6 0.83
Total words 1,445.4 1,866.8 29.2 2.43*
Total characters 6,387.3 9,084.2 42.2 2.46*
Different words 733.0 943.9 28.8 2.69**
Average words size 5,202.4 5,134.7 -1.3 -2.21*
Panel B: past profit growth
Optimism 53.1 54.0 1.7 3.42**
Praise 6.6 7.1 7.2 1.45
Satisfaction 4.0 4.5 12.8 0.48
Inspiration 7.0 8.7 24.9 4.26**
Blame 1.0 0.7 -25.3 -2.20*
Hardship 2.6 1.9 -26.0 -1.32
Denial 1.4 1.3 -10.6 0.35
Total words 1,480.9 1,769.7 19.5 1.93
Total characters 6,683.4 8,552.8 28.0 1.78
Different words 750.3 916.6 22.2 1.97*
Average words size 5,182.6 5,118.7 -1.2 -0.71
Panel C: future revenue growth
Optimism 53.2 54.0 1.5 3.85**
Praise 6.9 6.7 -3.5 0.54
Satisfaction 3.5 4.1 18.8 4.15**
Inspiration 7.2 8.5 18.1 3.57**
Blame 0.9 0.9 3.2 -2.24*
Hardship 2.1 2.5 17.0 0.32
Denial 1.3 1.4 2.8 1.03
Total words 1,480.9 1,769.7 19.5 1.93
Total characters 6,683.4 8,552.8 28.0 1.78
Different words 750.3 916.6 22.2 1.97*
Average words size 5,182.2 5,118.4 -1.2 -0.71
Panel D: future profit growth
Optimism 52.9 54.0 2.1 5.38**
Praise 6.5 7.2 11.8 1.98*
Satisfaction 3.6 4.3 20.3 3.29**
Inspiration 6.9 9.0 30.0 5.13**
Blame 0.7 1.0 39.7 -2.93**
Hardship 2.4 2.3 -4.7 -1.19
Denial 1.4 1.4 4.6 0.58
Total words 1,503.3 1,774.7 18.1 1.77
Total characters 6,852.1 8,390.1 22.4 1.66
Different words 744.1 906.0 21.8 2.59**
Average words size 5,189.1 5,130.3 -1.1 -1.34
L. Patelli, M. Pedrini
123
Table 4 Comparison of rhetorical tone between lowest, highest and sample average performance
Variables Lowest Highest Sample
average
Comparison
Lowest vs
sample average
Highest vs
sample average
F Stat.
Panel A: past revenue growth
Optimism 53.1 54.0 53.5 -0.9 0.9 10.19**
Praise 6.2 7.1 7.3 -14.9 -3.1 6.01**
Satisfaction 3.5 4.5 4.4 -20.8 0.2 5.76**
Inspiration 7.6 8.7 7.8 -1.8 11.4 4.21*
Blame 1.0 0.8 0.7 44.9 7.5 5.87**
Hardship 1.9 2.8 2.2 -11.4 28.5 5.38**
Denial 1.3 1.6 1.4 -8.5 15.9 2.17
Total words 1,445.4 1,866.8 1,639.7 -11.8 13.9 5.84**
Total characters 6,387.3 9,084.2 7,662.5 -16.6 18.6 5.98**
Different words 733.0 943.9 845.3 -13.2 11.6 5.39**
Average words size 5,202.4 5,134.7 5,135.2 1.0 0.0 2.71
Panel B: past profit growth
Optimism 53.1 54.0 53.8 -1.3 0.4 7.84**
Praise 6.6 7.1 7.1 -6.4 0.3 1.18
Satisfaction 4.0 4.5 4.2 -3.3 9.1 1.29
Inspiration 7.0 8.7 8.3 -16.0 4.9 9.26**
Blame 1.0 0.7 0.8 26.7 -5.3 3.01*
Hardship 2.6 1.9 2.2 15.1 -14.8 2.97
Denial 1.4 1.3 1.5 -3.5 -13.7 1.00
Total words 1,480.9 1,769.7 1,668.6 -11.2 6.1 2.83
Total characters 6,683.4 8,552.8 7,774.4 -14.0 10.0 2.89
Different words 750.3 916.6 849.7 -11.7 7.9 3.38*
Average words size 5,181.9 5,118.2 5,164.2 0.4 -0.9 2.14
Panel C: future revenue growth
Optimism 53.2 54.0 53.5 -0.6 0.9 7.56**
Praise 6.9 6.7 7.1 -2.4 -5.8 0.86
Satisfaction 3.5 4.1 4.6 -25.2 -11.2 8.49**
Inspiration 7.2 8.5 8.5 -15.5 -0.3 5.91**
Blame 0.9 0.9 0.7 28.7 32.8 3.90*
Hardship 2.1 2.5 2.2 -2.6 13.9 1.08
Denial 1.3 1.4 1.5 -9.9 -7.4 0.63
Total words 1,480.9 1,769.7 1,668.6 -11.2 6.1 2.83
Total characters 6,683.4 8,552.8 7,774.4 -14.0 10.0 2.89
Different words 750.3 916.6 849.7 -11.7 7.9 3.38*
Average words size 5,182.3 5,118.2 5,237.1 0.4 -0.9 2.14
Panel D: future profit growth
Optimism 52.9 54.0 53.7 -1.4 0.6 13.68**
Praise 6.5 7.2 7.1 -8.4 2.4 2.53
Satisfaction 3.6 4.3 4.5 -20.2 -4.0 5.07**
Inspiration 6.9 9.0 7.9 -12.5 13.8 13.92**
Blame 0.7 1.0 0.9 -19.3 12.7 4.59*
Hardship 2.4 2.3 2.2 10.3 5.1 0.45
Denial 1.4 1.4 1.4 -5.9 -1.7 0.18
Total words 1,503.3 1,774.7 1,656.8 -9.3 7.1 2.47
Total characters 6,852.1 8,390.1 7,775.1 -11.9 7.9 2.01
Different words 744.1 906.0 859.0 -13.4 5.5 3.51**
Average words size 5,189.6 5,130.7 5,154.3 0.7 -0.5 1.75
* p \ 0.05; ** p \ 0.01
Is Optimism Sincere?
123
scores. For the rest of the variables, there must be at least a
20 % deviation from the DICTION normative scores.1
Results in Tables 3, 4, and 5 report a significantly
positive association between Optimism and measures of
firm performance. The statistical association is positive for
both past and future performance. CEO letters of firms in
the HIGHEST quartile have a much more positive tone
than those in the LOWEST. These results strongly support
the congruence between rhetorical tone and performance in
line with communicative action in our sample and lead to
reject the obfuscation hypothesis of impression manage-
ment as far as tone is concerned. The rhetorical features
measured by Praise, Satisfaction, and Inspiration are sig-
nificantly different across different levels of past and future
performance. CEO letters of well performing firms contain
more adjectives affirming positive characteristics (as
measured by Praise), terms expressing positive states and
encouraging messages (as measured by Satisfaction), and
nouns conveying universally admirable qualities (as mea-
sured by Inspiration).
Table 5 Comparison of rhetorical tone between lowest, highest, average performance and diction normative scores
Variables Lowest Highest Sample
average
Normative
diction score
Comparison
Lowest vs normative
diction score
Sample average vs
normative diction score
Highest vs normative
diction score
Panel A: past revenue growth
Optimism 53.1 54.0 53.5 50.6 4.9 5.8 6.7
Praise 6.2 7.1 7.3 2.6 138.2 179.8 171.3
Satisfaction 3.5 4.5 4.4 1.0 252.0 344.4 345.2
Inspiration 7.6 8.7 7.8 3.6 111.7 115.7 140.3
Blame 1.0 0.8 0.7 1.2 -14.0 -40.6 -36.2
Hardship 1.9 2.8 2.2 1.9 0.4 13.4 45.7
Denial 1.3 1.6 1.4 3.1 -59.1 -55.3 -48.2
Panel B: past profit growth
Optimism 53.1 54.0 53.8 50.6 4.9 6.3 6.7
Praise 6.6 7.1 7.1 2.6 154.2 171.7 172.4
Satisfaction 4.0 4.5 4.2 1.0 302.5 316.2 353.9
Inspiration 7.0 8.7 8.3 3.6 93.6 130.5 141.9
Blame 1.0 0.7 0.8 1.2 -19.3 -36.4 -39.8
Hardship 2.6 1.9 2.2 1.9 35.8 18.0 0.6
Denial 1.4 1.3 1.5 3.1 -54.2 -52.5 -59.0
Panel C: future revenue growth
Optimism 53.2 54.0 53.5 5.1 5.8 6.7 5.1
Praise 6.9 6.7 7.1 166.6 173.2 157.3 166.6
Satisfaction 3.5 4.1 4.6 247.2 364.2 312.4 247.2
Inspiration 7.2 8.5 8.5 99.9 136.7 136.1 99.9
Blame 0.9 0.9 0.7 -25.3 -42.0 -22.9 -25.3
Hardship 2.1 2.5 2.2 11.9 14.9 30.9 11.9
Denial 1.3 1.4 1.5 -57.2 -52.4 -56.0 -57.2
Panel D: future profit growth
Optimism 52.9 54.0 53.7 50.6 4.6 6.1 6.8
Praise 6.5 7.2 7.1 2.6 148.9 171.7 178.1
Satisfaction 3.6 4.3 4.5 1.0 258.5 349.1 331.3
Inspiration 6.9 9.0 7.9 3.6 91.7 119.0 149.3
Blame 0.7 1.0 0.9 1.2 -42.2 -28.4 -19.3
Hardship 2.4 2.3 2.2 1.9 25.4 13.7 19.6
Denial 1.4 1.4 1.4 3.1 -56.4 -53.6 -54.4
* p \ 0.05; ** p \ 0.01
1 The significance levels of 2 and 20 % are taken from Yuthas et al.
(2002). Optimism is obtained from the combination of sub-variables
as follows: (Praise ? Satisfaction ? Inspiration)—(Blame ? Hard-
ship ? Denial). Its value tends to vary less than the values of the sub-
variables. Hence, the significance level is set to be lower.
L. Patelli, M. Pedrini
123
Tables 3 and 4 report the average of the total number of
words, total number of characters, characters per word, and
number of different words used in CEO letters for the full
sample and firms in the LOWEST and HIGHEST quartiles.
These measures contribute to assessing the readability of
CEO letters. As shown in Table 3, past revenue growth is
significantly associated with all the readability indicators.
Results show that CEO letters of firms reporting the highest
past revenue growth are longer (as measured by the total
number of words and characters) and contain more words
(as measured by the number of different words), yet less
complex (as measured by the number of character per
words) words. By considering the other performance
measures (i.e., past profit growth, future revenue growth,
and future profit growth), the readability indicators become
insignificant, except for the number of different words,
which remains significantly higher for firms reporting the
highest past and future profit growth, as shown in Tables 3
and 4.
Table 5 shows that most scores computed on our sample
data significantly differ (i.e., more than 2 and 20 % for
master variable and sub-variables, respectively) from
DICTION normative scores. Although both are based on
Fortune 500 firms, this difference indicates that the rhe-
torical features of CEO letters included in our sample are
not similar to those of the sample used to compute the
DICTION normative scores. A plausible reason for such a
remarkable difference could be the particularly unfavorable
economic period examined in our study. Indeed, if the
rhetorical features of CEO letters would not vary across
periods and firms, we would be unable to observe such a
difference with the normative score computed by the
authors of DICTION in a different context. The fact that
we find a difference suggests that rhetorical features of
CEO letters are influenced by the period and sample
composition. Overall, the differences between our sample
scores and the DICTION normative scores recommend
using DICTION normative scores with caution in research
based on different samples.
Regression Results
To test whether there is congruence between firm perfor-
mance and rhetorical tone of CEO letters, we ran a
regression model where future performance (measured by
FROA) is a function of past performance, readability
indicators, all five DICTION master variables, and several
control variables. A significant effect of Optimism on
future performance, after controlling for past performance
(measured by ROA) and other relevant variables, would
indicate that stakeholders could effectively read CEO let-
ters to gauge performance results. Specifically, if perfor-
mance were found to be congruent with rhetorical tone, it
would suggest that CEO letters are not misleading, as
contended by impression management studies. Rather,
according to Yuthas et al. (2002), it would suggest that
CEO letters adhere to the sincerity principle of discourse
ethics as argued by the Theory of Communicative Action.
The use of a multivariate analysis represents a sophistica-
tion of most prior studies regarding corporate narrative
disclosure, which are generally based on comparisons of
mean values between firms performing poorly and firms
performing well (Merkl-Davies and Brennan 2007). Yuthas
et al. (2002) did not perform a multivariate analysis due to
the very small size of their sample.
The explanatory power of Optimism to predict future
performance is tested by controlling for several factors.
The inclusion of past performance in our regression model
enables us to measure the marginal effect of rhetorical tone
on future performance. As discussed in the previous sec-
tion, rhetorical tone is influenced by past performance and
a multivariate analysis allows single effects to be isolated.
A significant effect of Optimism on future performance,
after controlling for past performance, would suggest that
rhetorical tone of CEO letters is not merely the outcome of
past performance, but it also contains useful forward-
looking information for stakeholders. Furthermore, we
control for the strategy and opportunity to grow through the
Capital Expenditures to Assets Ratio and Price to Book
Ratio. Number of Shareholders controls for the breadth of
CEO letters’ readership and contributes to addressing
interaction effects between preparer and users (Merkl-
Davies and Brennan 2007). Intangible Assets to Assets
Ratio is included to control for capital intensity. We also
control for firm size by including Total Revenue and
Number of Employees in our regression model. Finally, we
include a dummy variable (i.e., Loss) to distinguish loss-
making from profit-making firms, as in Li (2008). Variance
inflation scores between variables are all lower than 2.3,
revealing no significant multicollinearity problem.
Table 6 provides correlation coefficients between our
variables and Table 7 provides results of a generalized-
least-square (GLS) regression model testing the signifi-
cance of Optimism in predicting FROA. We performed the
Hausman test to choose between fixed and random effect,
and the results suggested the use of fixed effects. We also
conducted a heteroskedasticity test, whose result led us to
use a robust estimator within cluster correlation (i.e.,
Rogers standard errors). The final model controls for
Activity, Certainty, Realism, Commonality, and a read-
ability indicator (i.e., Text Length) in addition to ROA,
Capital Expenditures to Assets Ratio, Price to Book Ratio,
Number of Shareholders, Intangible Assets to Assets Ratio,
Total Revenue, Number of Employees, and Loss.
The statistical significance of its regression coefficient
(p \ 1 %) shows that Optimism is a significant predictor of
Is Optimism Sincere?
123
future performance. Optimism is positively correlated with
FROA, indicating that CEO letters from firms with better
future performance are more optimistic. This result sug-
gests that the rhetorical tone of CEO letters is congruent
with firm performance. According to Habermas (1990), this
result implies sincerity in CEO letters, consistent with his
Theory of Communicative Action. Table 7 also reports a
statistically significant and negative coefficient (p \ 5 %)
for Commonality. The use of engaging language increases
the value of Commonality. Therefore, the negative coeffi-
cient of Commonality indicates that non-engaging language
is associated with lower performance. As pointed out by
Yuthas et al. (2002), the interpretation of Commonality for
discourse ethics is not trivial. In our research design,
Commonality is a control variable, and its significance
highlights the importance of controlling for multiple rhe-
torical features to capture the association between perfor-
mance and principles of discourse ethics.
The coefficients of the other three DICTION master
variables are statistically insignificant (p [ 10 %). Fur-
thermore, the results in Table 7 show that Text Length
(measured as the total number of characters) is not a sta-
tistically significant predictor of future performance
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Table 7 Generalized-least-square regression model on future return
on assets (FROA)
Variables Estimate SE T
Intercept -0.003 0.130 -0.30
Control variables
ROA -0.001 0.001 -0.37
Capital expenditures to assets ratio 0.001 0.001 1.03
Price to book ratio 0.001 0.001 0.68
Number of shareholders -0.010 0.014 -0.72
Intangible assets to assets ratio 0.001 0.002 0.71
Total revenue -0.001 0.001 -0.09
Number of employees -0.030 0.030 -1.00
Loss 0.030 0.010 2.80*
Text length -0.005 0.002 -1.65
Diction variables
Activity 0.001 0.001 0.23
Optimism 0.004 0.002 2.83**
Certainty -0.001 0.001 -0.21
Realism 0.001 0.001 1.36
Commonality -0.004 0.001 -2.34*
R2 0.167
F score 3.356 **
Intra-class correlation coefficient
(ICC)
0.917
Hausman test = 129.14, p = 0.000; heteroskedasticity
test = 7.9e?36, p = 0.000
N. obs.: 664; * p \ 0.05; ** p \ 0.01
L. Patelli, M. Pedrini
123
(p [ 10 %), when controlling for DICTION master vari-
ables. Contrary to other prior studies (e.g., Li 2008), our
findings do not support a significant linear association
between performance and readability indicators. This lack
of evidence suggests other factors could be essential in
determining the readability of CEO letters, such as CEO
communication skills and business complexity. Moreover,
it highlights the relevance of examining the thematic
content rather than the syntactic structure alone (Sydserff
and Weetman 2002). The insignificance of readability for
predicting future performance could also be due to features
of the empirical design.
Conclusions
CEO letters can be viewed as either a form of strategic
action designed to mislead interpretations and expectations
of performance results, as claimed by studies on impression
management (e.g., Aerts 2005), or a form of communica-
tive action aimed at seeking mutual understanding of per-
formance results, as claimed by Habermas’ Theory of
Communicative Action (1984, 1987). Prior research has
predominantly conceived optimistic rhetorical tone as a
form of impression management. According to impression
management, rhetorical tone is manipulated to distract
from past performance and distort expectations of future
performance. This manipulation violates the sincerity
principle of discourse ethics according to which interpre-
tations are offered to facilitate understanding (Yuthas et al.
2002). On the contrary, according to communicative
action, past performance shapes the rhetorical tone of CEO
letters, which contains information useful to predict future
performance. Hence, the congruence between rhetorical
tone and performance indicates sincerity of communication
(Yuthas et al. 2002).
To explore the validity of these two competing views,
we empirically investigated the congruence between firm
performance and rhetorical tone in a large sample of CEO
letters of large publicly traded U.S. firms. We analyzed the
statistical association of Optimism computed by the lexical-
analysis software DICTION and both past and future firm
accounting returns. Results are based on univariate analy-
ses examining how rhetorical features vary across different
performance quartiles and a GLS regression model con-
taining several predictors of future firm performance.
Our findings show the existence of a significant asso-
ciation between Optimism and financial performance.
Results based on univariate analyses indicate that past
performance significantly affects the rhetorical tone of
CEO letters. Regression analyses strengthen this evidence,
showing a positive association between Optimism and
future accounting return, while controlling for other
rhetorical features, text readability, firm characteristics,
and past accounting return. Specifically, in our univariate
analyses comparing the quartiles of firms with the highest
and lowest performance, the optimistic tone of CEO letters,
which is often used in prior studies as the primary indicator
of impression management, is found to be higher in CEO
letters of firms with the highest accounting return. In other
words, CEO letters of the best performing firms are the
most optimistic. Moreover, Optimism is a statistically sig-
nificant predictor of future performance in our regression
model. From these results, we infer that the tone of CEO
letters is congruent with performance indicating the
adherence to the sincerity principle of discourse ethics. The
analysis of the DICTION variables’ structure supports this
conclusion by highlighting the significant association of
three specific rhetorical features denoting optimistic tone,
namely Praise, Satisfaction, and Inspiration, with firm
performance.
Based on our empirical finings, we draw conclusions
that contribute to the development of a framework to
examine discourse ethics of financial communication.
Following Yuthas et al. (2002), our research focuses on the
sincerity principle of discourse ethics by empirically
exploring the tension between impression management and
communicative action of discretionary narrative disclosure.
The congruence between optimistic tone and both past and
future performance found in our sample supports the effect
of preserving organizational legitimacy on CEO rhetorical
features, as argued by Yuthas et al. (2002). Future research
could investigate the interaction between self-serving
interests and corporate and individual reputation as it
affects business ethics. Further, our empirical findings
based on an analysis of CEO letters published in the wake
of the global economic crisis indicate that context is a
crucial factor shaping rhetorical features of corporate nar-
ratives and related rhetorical manipulation strategies. This
is an extension of the framework proposed by Yuthas et al.
(2002) and highlights that incentives of impression man-
agement and adherence to principle of discourse ethics are
sensitive to external context. Future research could extend
our empirical study by examining different contexts,
including different countries, economic conditions, and
organizational cultures. Finally, the empirical evidence
provided in this paper raises concerns about the method-
ology followed by prior studies stressing impression
management. A broader measurement of rhetorical features
is needed to capture alternative rhetorical manipulation
adequately. The development of new lexical-analysis
techniques and electronic availability of a wider set of
disclosure vehicles offer opportunities for more rigorous
research on large samples.
Two issues remain critical for the interpretation of our
results and the advancement of knowledge about discourse
Is Optimism Sincere?
123
ethics of corporate narratives. First, the issue of inten-
tionality of impression management has implications for
examining discourse ethics of corporate narratives. In the
definition quoted above, Schlenker (1980) asserts that
impression management can be conscious or unconscious,
but Provis (2010) stresses that deceptive narrative disclo-
sure has harmful consequences only if it is intentional.
Prior literature has not resolved the issue of intentionality
of impression management, and this creates a challenge for
the examination of its ethical dimension. The assessment of
ethics in corporate narratives should consider the inten-
tionality, and future research should develop methodolo-
gies to distinguish between intentional and unintentional
rhetorical manipulations. This would also offer a relevant
contribution for the development of mechanisms to prevent
and detect unethical discourse in corporate narratives.
Second, the issue of earnings management affects the
validity of testing the adherence to principles of discourse
ethics based on congruence with financial performance
(Patelli and Pedrini 2013). By managing earnings, execu-
tives manipulate financial metrics distorting the measure-
ment of performance. Accounting literature has provided
ample evidence on the determinants and consequences of
earnings management. However, knowledge of alternative
non-financial measures that can be effectively used to
assess firm performance is still limited. Many studies
suggest that relying on one single measure (either social or
financial) seems inadequate and misleading (e.g., Kaplan
and Norton 1996; Dossi and Patelli 2010; Epstein et al.
2013). More research on performance measurement should
support the empirical analysis of discourse ethics, espe-
cially regarding principles of sincerity and truth.
Our findings contribute to the literature on discourse
ethics by applying the operationalization proposed by
Yuthas et al. (2002) to a large sample of U.S. CEO letters.
We also contribute to strategic management research by
examining the effect of CEO rhetorical tone on corporate
disclosure and, more broadly, on business management
(Bamber et al. 2010). Our results showed CEO letters are
important corporate communication vehicles that contain
information about future performance. Arguments imply-
ing that CEOs are merely overconfident and opportunistic
leaders seem partial and simplistic. Our study calls for
more research on the variety of leadership styles and their
effect on corporate disclosure. Moreover, our findings are
consistent with theories that predict a positive effect of
economic crises on management thanks to more focused
managerial attention and decision-making. Future research
could provide evidence that is more direct concerning CEO
communication styles in different economic cycle stages.
Finally, by examining an important element of financial
narrative disclosure, we contribute to the accounting and
finance literature on voluntary disclosure. In particular, we
provide empirical evidence concerning the information
content of CEO letters and offer a methodology to analyze
a comprehensive set of lexical features beyond mono-
dimensional readability indicators.
Notwithstanding their relevance, our conclusions come
with some caveats. First, we focus on quantitative research
techniques to explore the relationship between firm per-
formance and rhetorical features of CEO letters, thereby
assuming language can be quantifiable. As pointed out by
Merkl-Davies and Brennan (2007), more qualitative
approaches, such as case studies and longitudinal analyses,
could better grasp important concepts in discourse ethics.
Second, our results are affected by the shortcomings of
DICTION, which are discussed in-depth in Hart (2001). In
particular, we warn about the issue of polysemy, which
refers to the semantic independence of DICTION variables
from the context (e.g., Henry 2008). Finally, our sample
comprises CEO letters published in 2 years. Through
possible improvements in the process of collecting and
formatting CEO letters for DICTION, future research could
test the moderating effect of different economic contexts
on the relationship between firm performance and rhetori-
cal features in a more direct fashion.
Acknowledgments The authors would like to acknowledge
Amanda Murphy, Philipp Schaberl, and Robert Giacalone for their
comments on previous versions of this manuscript.
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