Inspired by previous research this paper investigates whether personal CEO characteristics such as age, CEO tenure, gender, MBA and variable salary (%) have a significant effect on firm bankruptcy risk measured using the Altman-Z-Score and the Ohlson-O-Score.
This work is based on literature suggesting (i) CEO managerial characteristics such as overconfidence and optimism lead to higher leverage and increased risk-taking and that (ii) higher levels of debt and increased risk-taking behavior add to the likelihood of corporate financial distress. Using panel data on S&P 500 constituents during 1994-2014 our results provide evidence that CEO age and holding an MBA is positively associated with bankruptcy risk while CEO tenure and variable salary (%) seem to be negatively related to a firm’s propensity to default.
Collectively, our results remain mostly unchanged over various robustness tests employing both pooled OLS and the least squares dummy variable (LSDV) model as well as year, industry and company fixed effects as control variables. Next to significant support that managerial attributes, traits, and style may help to understand organizational outcomes, this project also provides insights how available public information can be used to further explain style effects by disentangling them into separate, measurable impact factors.
Table of Contents
1. Introduction
2. The general influence of CEOs on organizational outcomes
2.1. Empirical evidence on the influence of CEO characteristics
2.2. Relation between CEO characteristics, financial distress and bankruptcy
3. Measures of bankruptcy risk
3.1. Altman-Z-Score
3.2. Ohlson-O-Score
3.3. Comparative performance and predictive power
4. Definition of explanatory variables and hypotheses
5. Data and methodology
5.1. Acquisition of data & sample selection
5.2. Methodology
5.2.1. Econometric setup
5.2.2. Control variables
6. Empirical analysis and findings
6.1. Description of data & sample
6.2. Empirical results of multivariate analysis
6.3. Robustness testing and sub-sample validation
7. Conclusion
8. Limitations and suggestions for further research
Research Objectives and Themes
The primary objective of this thesis is to investigate how personal characteristics of top-management executives—specifically age, tenure, gender, education (MBA), and variable compensation—influence corporate bankruptcy risk as measured by established financial distress models like the Altman-Z-Score and Ohlson-O-Score.
- Analysis of managerial traits using "Upper Echelon Theory".
- Evaluation of predictive power regarding financial distress in US-listed firms.
- Empirical investigation utilizing panel data on S&P 500 constituents (1994-2014).
- Comparison of Pooled OLS and Least Squares Dummy Variable (LSDV) regression models.
- Robustness testing across different industry sectors and risk profiles.
Excerpt from the Book
1. Introduction
Does the level of the CEO’s education matter for determining bankruptcy risk? Are individual characteristics of the top management important to mitigate the risk of corporate failure? These and similar questions are raised in both academia as well as meetings of supervisory boards around the world. Pointing out the importance of leaders, the CEO and Chairman of the Board of General Electric, Jeffrey Immelt puts it this way during an interview:
“I’m responsible for this company. I stand behind the results. I know the details, and I think the CEO has to be the moral leader of the company.”
While credit risk and the prediction of corporate bankruptcy have emerged into one of the most actively examined research areas within quantitative finance, academia has devoted comparatively little resources to the influence that characteristics and attributes of a company’s top management have on the propensity of firm default.
However, younger economic history has demonstrated that individuals may have a considerable impact on the outcome of the organization they manage. For instance, the Financial Crisis Inquiry Commission of the US Government (2011) consternates in its final report that the recent financial turmoil and the subsequent economic downturn were materially reinforced by excessive corporate risk-taking and executive mismanagement.
Summary of Chapters
1. Introduction: Introduces the research question regarding the impact of CEO characteristics on corporate bankruptcy risk, supported by the Upper Echelon Theory.
2. The general influence of CEOs on organizational outcomes: Reviews theoretical and empirical literature linking managerial background and personal traits to firm performance and strategic choices.
3. Measures of bankruptcy risk: Details the primary financial distress models used, specifically the Altman-Z-Score and Ohlson-O-Score, and discusses their predictive capabilities.
4. Definition of explanatory variables and hypotheses: Formulates five specific hypotheses regarding the relationship between CEO demographics (age, tenure, gender, education, compensation) and firm default risk.
5. Data and methodology: Describes the construction of the 21-year panel dataset (1994-2014) of S&P 500 firms and the econometric framework (OLS/LSDV).
6. Empirical analysis and findings: Presents the results of the multivariate analysis, including robustness tests and sub-sample validation across industries.
7. Conclusion: Summarizes key findings, confirming the significant correlation between certain managerial attributes and corporate credit risk measures.
8. Limitations and suggestions for further research: Discusses the methodological constraints and suggests future directions for investigating executive-level impacts on corporate stability.
Keywords
CEO Characteristics, Bankruptcy, Corporate Governance, Empirical Analysis, Firm Behavior, Accounting, Distress Prediction, Z-Score, O-Score, S&P 500, Panel Data, Management, Risk-Taking, Financial Leverage, Upper Echelon Theory.
Frequently Asked Questions
What is the core subject of this research?
This work examines the link between specific personal characteristics of Chief Executive Officers (CEOs) and the corporate bankruptcy risk of the firms they manage, using quantitative financial distress models.
What are the central themes of the work?
The central themes include the application of Upper Echelon Theory to finance, the influence of CEO demographics on strategic decision-making, and the empirical measurement of firm distress through accounting-based scores.
What is the primary goal of the study?
The primary goal is to determine to what extent variables like CEO age, tenure, gender, MBA status, and compensation packages explain variations in bankruptcy risk across US-listed companies.
Which scientific methods are applied?
The study employs a multivariate empirical analysis using panel data, applying both Pooled Ordinary Least Squares (OLS) and Least Squares Dummy Variable (LSDV) models while controlling for industry and time-fixed effects.
What does the main body cover?
The main body covers a literature review on CEO influence, technical descriptions of bankruptcy scoring models, a rigorous data collection process for S&P 500 firms, and detailed regression analysis outcomes.
Which keywords characterize this paper?
Key terms include CEO Characteristics, Bankruptcy, Corporate Governance, Empirical Analysis, Financial Distress, Z-Score, and S&P 500.
How is "bankruptcy risk" operationalized in this study?
Bankruptcy risk is operationalized using established accounting-based models, specifically the Altman-Z-Score (and its variants) and the Ohlson-O-Score, which evaluate a firm's financial health based on ratios such as leverage and profitability.
Why is the MBA dummy variable included in the hypotheses?
The MBA variable is included because an MBA degree is hypothesized to reflect specific cognitive abilities, risk propensities, and professional networks that could either increase profitability or influence the risk-taking behavior of the CEO.
What is the significance of the "Upper Echelon Theory" in this context?
Upper Echelon Theory is the theoretical foundation of the paper; it suggests that organizational outcomes and strategic decisions are significantly determined by the personal backgrounds and cognitive characteristics of the top management team.
What conclusion does the author reach regarding sub-sample validation?
The author concludes that regression results remain largely consistent across different industries (manufacturing vs. non-manufacturing/service), which provides evidence for the robustness of the identified relationships between managerial traits and bankruptcy risk.
- Citar trabajo
- Elias Fiebig (Autor), 2016, The Influence of Top-Management Characteristics on Corporate Credit Risk Measures, Múnich, GRIN Verlag, https://www.grin.com/document/337384
