The impact of CEO narcissism and optimism on capital structure under pandemic conditions

IF 1.9 Q2 BUSINESS, FINANCE Review of Behavioral Finance Pub Date : 2024-02-05 DOI:10.1108/rbf-04-2023-0087
Elena Fedorova, Alexandr Nevredinov, Pavel Drogovoz
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Abstract

Purpose

The purpose of our study is to study the impact of chief executive officer (CEO) optimism and narcissism on the company's capital structure.

Design/methodology/approach

(1) The authors opt for regression, machine learning and text analysis to explore the impact of narcissism and optimism on the capital structure. (2) We analyze CEO interviews and employ three methods to evaluate narcissism: the dictionary proposed by Anglin, which enabled us to assess the following components: authority, superiority, vanity and exhibitionism; count of first-person singular and plural pronouns and count of CEO photos displayed. Following this approach, we were able to make a more thorough assessment of corporate narcissism. (3) Latent Dirichlet allocation (LDA) technique helped to find the differences in the corporate rhetoric of narcissistic and non-narcissistic CEOs and to find differences between the topics of interviews and letters provided by narcissistic and non-narcissistic CEOs.

Findings

Our research demonstrates that narcissism has a slight and nonlinear impact on capital structure. However, our findings suggest that there is an impact of pessimism and uncertainty under pandemic conditions when managers predicted doom and completely changed their strategies. We applied various approaches to estimate the gender distribution of CEOs and found that the median values of optimism and narcissism do not depend on sex. Using LDA, we examined the content and key topics of CEO interviews, defined as positive and negative. There are some differences in the topics: narcissistic CEOs are more likely to speak about long-term goals, projects and problems; they often talk about their brand and business processes.

Originality/value

First, we examine the COVID-19 pandemic period and evaluate how CEO optimism and pessimism affect their financial decisions under specific external conditions. The pandemic forced companies to shift the way they worked: either to switch to the remote work model or to interrupt operations; to lose or, on the contrary, attract clients. In addition, during this period, corporate management can have a different outlook on their company’s financial performance and goals. The LDA technique helped to find the differences in the corporate rhetoric of narcissistic and non-narcissistic CEOs. Second, we use three methods to evaluate narcissism. Third, the research is based on a set of advanced methods: machine learning techniques (random forest to reveal a nonlinear impact of CEO optimism and narcissism on capital structure).

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大流行病条件下首席执行官的自恋和乐观对资本结构的影响
设计/方法/途径(1)作者选择回归、机器学习和文本分析来探讨自恋和乐观对资本结构的影响。(2)我们分析了首席执行官的访谈,并采用了三种方法来评估自恋:安格林提出的词典,它使我们能够评估以下组成部分:权威、优越感、虚荣心和展示癖;第一人称单数和复数代词的计数以及展示的首席执行官照片的计数。通过这种方法,我们能够对企业自恋进行更全面的评估。(3) Latent Dirichlet allocation (LDA) 技术有助于发现自恋型 CEO 和非自恋型 CEO 在企业修辞上的差异,并发现自恋型 CEO 和非自恋型 CEO 在访谈和信件主题上的差异。然而,我们的研究结果表明,在大流行病条件下,当管理者预测厄运并完全改变战略时,悲观主义和不确定性会产生影响。我们采用各种方法估算了首席执行官的性别分布,发现乐观和自恋的中值与性别无关。利用 LDA,我们研究了首席执行官访谈的内容和关键主题,将其定义为积极和消极。自恋型首席执行官更倾向于谈论长期目标、项目和问题;他们经常谈论自己的品牌和业务流程。原创性/价值首先,我们研究了 COVID-19 大流行时期,并评估了在特定外部条件下,首席执行官的乐观和悲观情绪如何影响他们的财务决策。大流行迫使企业转变工作方式:要么转向远程工作模式,要么中断运营;要么失去客户,要么吸引客户。此外,在此期间,公司管理层可能会对公司的财务业绩和目标有不同的看法。LDA 技术有助于发现自恋型首席执行官和非自恋型首席执行官在企业言论方面的差异。第二,我们使用三种方法来评估自恋。第三,研究基于一套先进的方法:机器学习技术(随机森林揭示 CEO 乐观和自恋对资本结构的非线性影响)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Review of Behavioral Finance
Review of Behavioral Finance BUSINESS, FINANCE-
CiteScore
4.70
自引率
5.00%
发文量
44
期刊介绍: Review of Behavioral Finance publishes high quality original peer-reviewed articles in the area of behavioural finance. The RBF focus is on Behavioural Finance but with a very broad lens looking at how the behavioural attributes of the decision makers influence the financial structure of a company, investors’ portfolios, and the functioning of financial markets. High quality empirical, experimental and/or theoretical research articles as well as well executed literature review articles are considered for publication in the journal.
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