Manager sentiment, policy uncertainty, ESG disclosure and firm performance: a large language model in corporate landscape

Date23 July 2024
Pages858-882
DOIhttps://doi.org/10.1108/IJAIM-08-2023-0206
Published date23 July 2024
Subject MatterAccounting & finance,Accounting/accountancy,Accounting methods/systems
AuthorAsis Kumar Sahu,Byomakesh Debata,Saumya Ranjan Dash
Manager sentiment, policy
uncertainty, ESG disclosure and
f‌irm performance: a large language
model in corporate landscape
Asis Kumar Sahu and Byomakesh Debata
Department of Economics and Finance, Birla Institute of Technology and
Science Pilani Campus, Pilani, India, and
Saumya Ranjan Dash
Department of Accounting and Finance, Indian Institute of Management Indore,
Indore, India
Abstract
Purpose This study aims to examine theimpact of manager sentiment on the f‌irm performance (FP) of
Indian-listed nonf‌inancialf‌irms. Further, it endeavors to investigate the moderating role ofeconomic policy
uncertainty(EPU) and environment, social and governance (ESG) transparencyin this relationship.
Design/methodology/approach A noble manager sentiment is introduced using FinBERT, a
bidirectional encoderrepresentation from a transformers (BERT)-type large languagemodel. Using this deep
learning-based natural language processing approach implemented through a Python-generated algorithm,
this study constructsa manager sentimentfor each f‌irm and year based on the management discussions and
analysis(MD&A) report. This research uses the system GMMto examine how manager sentiment affects FP.
Findings The empirical resultssuggest that managersoptimistic outlook in MD&A corporatedisclosure
sections tends to present higher performance. This positive association remains consistent after several
robustness checks usingpropensity score matching and instrumental variable approachto address further
endogeneity, using alternative proxies of manager sentiment and FP and conducting subsample analysis
based on f‌inancial constraints.Furthermore, the authors observe that the relationshipis more pronounced for
ESG-disclosedf‌irms and during the low EPU.
Practical implications The resultsdemonstrate that the managersentiment stronglypredicts FP. Thus,
this studymay provide valuableinsight for academics,practitioners, investors,corporates and policymakers.
Originality/value To the best of the authorsknowledge, this is the f‌irst study to predictFP by using
FinBERT-basedmanagerial sentiment, particularly in an emerging market context.
Keywords Manager sentiment, Large language model, Firm performance,
Economic policy uncertainty, ESG
Paper type Research paper
1. Introduction
The role of managerscognitive capability and emotions in conjunction with corporate
outcomes and market reaction has garnered signif‌icant attention in the current body of
accounting and f‌inance literature. The upper echelons theory (Hambrick and Mason, 1984)
Conf‌lict of interest: The authors declared no potential conf‌licts of interest with respect to the research,
authorship and/or publication of this study.
IJAIM
32,5
858
Received18 August 2023
Revised6 January 2024
Accepted22 June 2024
InternationalJournal of
Accounting& Information
Management
Vol.32 No. 5, 2024
pp. 858-882
© Emerald Publishing Limited
1834-7649
DOI 10.1108/IJAIM-08-2023-0206
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/1834-7649.htm
asserts that the decision-making practices of top executives are profoundly inf‌luenced by
their personal traits, cognitiveabilities and social aptitude. Kahnemans (2003) foundational
behavioral economics theoryproposes that managers are susceptible to cognitive biases like
investors. Thus, the sentiments and emotions of individuals have implications for the
information quality of disclosureand the allocation of corporate resources (Jiang et al., 2019;
Loughran and McDonald, 2011). As a result, a growing body of empirical literature
quantif‌ies managerstone or sentiment by using textual analysis techniques on mandated
corporate disclosures (management discussions and analysis [MD&A] reports and earning
calls) and predicts f‌irm earnings (Davis and Tama-Sweet, 2012;Li, 2010), corporate
investment (Berns et al., 2022;Durnev and Mangen, 2020), stock returns (Jiang et al.,2019)
and stock liquidity (Dang et al., 2022)and inf‌luences market reaction (Xiao Wu et al.,2021).
Taken together, extant literature addresses the issues of whether managerial tone matters
for f‌irm performance (FP) and stakeholder engagement. However, four imperative issues
warrant further empirical evidence on the association between manager sentiment and
corporate f‌inancialperformance.
Prior studies examining the implication of managerial tone on FP did not control the
implication of economic policy uncertainty (EPU). The existing literature suggests that high
policy uncertaint y affects f‌irmsbusiness prospects, hinders corporate investment by
inducing precautionary delays, lowers diversif‌ication benef‌its and, therefore, might create
substantial risk for f‌irms (Baker et al.,2016;Gulen and Ion, 2015). In a similar vein, Stor
and Veronesis(2012)model argued that EPU could exogenously affect the corporate
ecosystem,contributing to investoruncertainty about f‌irm value and information asymmetry
in the f‌inancial market. This leads to the promotion of private information acquisition by
investors, potentially exacerbating information asymmetry (Verrecchia, 2001). Thus,
managers voluntarily disclose information to enhance investorsunderstanding of the f‌irm,
potentially substituting for private information acquisition (Baker et al.,2016). However, the
effectivenessof these mechanisms reliesupon factors like managersself-interest, cost-benef‌it
analysis of disclosure and perceptions of the transitory nature of EPU (Nagar et al.,2019).
Hence, it isplausible to assume that policyuncertainty may impactboth managersbehavior,
disclosure practices and investorsuncertainty. Therefore, it is imperative to investigate the
impact ofEPU on the relationship betweenmanagement tone and FP.
Second, the rising global awareness of climate-risk hedging investment, equitable
treatment of stakeholders and growing demands for transparency in nonf‌inancial reporting,
including environmental, social and governance (ESG) aspects, indicate a s hifting landscape
for companies. For instance, corporates focus on sustainable and transparent business
strategies to attract more responsible investors and generate long-term socio-economic value
by reducing agency cost, information asymmetry, cost of capital and idiosyncratic risk
(Alareeni and Hamdan, 2020;Albitar et al., 2020;Chen and Xie, 2022;Feng et al., 2022;Wong
et al., 2021). Recently, Al-Shammari et al. (2022) introduced the dual responsibility theory,
which posits that to generate superior f‌inancial performance, corporate managers must
effectively manage both their economic and social obligations to fulf‌ill the demands of
shareholders and stakeholders, respectively. Importantly, Barney (2018) incorporates
Freemans stakeholder perspective with a resource-based view and emphasizes the need for
managers to acknowledge and balance the legitimate claims of stakeholders beyond
shareholders to attract prerequisite resources for economic prof‌it. According to signaling
theory, ESG reporting conveys manage rscommitment to sustainability, transparency and
risk management, boosting the f‌irms reputation and attracting more investors (Chen and Xie,
2022;Khalid et al., 2022;Li and Martin, 2019). On the contrary, some other studies documented
the negative effect of ESG disclosure on FP (Branco and Rodrigues, 2008;Gillan et al., 2021;
Large language
model in
corporate
landscape
859

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