The influence of ceo power on firm risk-taking
This study investigates the impact of CEO power on business risk-taking in a sample of 362 publicly traded companies in Malaysia, and the results are promising. Using a simultaneous equations method, our primary findings suggest that the proportion of independent directors on the board, the size of...
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| Main Author: | |
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| Format: | Thesis |
| Language: | eng eng |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://etd.uum.edu.my/10306/1/s819222_01.pdf https://etd.uum.edu.my/10306/2/s819222_02.pdf |
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| Summary: | This study investigates the impact of CEO power on business risk-taking in a sample of 362 publicly traded companies in Malaysia, and the results are promising. Using a simultaneous equations method, our primary findings suggest that the proportion of independent directors on the board, the size of the board, and the authority and remuneration of the CEO all had a negative impact on bank risk-taking. Firm risk-taking was affected positively by institutional shareholder ownership and the presence of duality, rather than negatively by these factors. We also independently examine and notice that, in the firm, primarily board independence and institutional ownership have the same influence on risk as they did previously. We reach the conclusion that different governance features have varying degrees of importance for CEOs' risk-taking, which is dependent on the economic climate. The research is carried out utilizing the risk variable, with corporate size, size of the board of directors, independence managers, CEO, CEO and CEO as independent factors. Descriptive statistics are used to compile a data package that reflects a population or a sample by understanding the short descriptive coefficients. The correlation analysis should be conducted to identify the strength and direction of the linear connection of the structure. The study does panel regression with a pool of ordinary smaller square (OLS) and a specification of a fixed effect. In this work, the VIF addressed the multicollinearity problem between independent variables. |
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