Corporate dynamism and cash holding decision in listed manufacturing firms in Nigeria

  • Received February 12, 2019;
    Accepted June 19, 2019;
    Published October 11, 2019
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  • Article Info
    Volume 17 2019, Issue #4, pp. 1-12
  • Cited by
    4 articles

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Cash holding decision is a very crucial decision that strongly affects the performance of an organization. Corporate dynamism as a corporate governance tool was explored in this study in order to establish its relationship with cash holding decision in listed manufacturing companies in Nigeria. Board skill, female leadership, foreign directors, board ownership and directors’ compensation were used as proxies for corporate dynamism. A panel regression model was adopted in this study to examine the implication of corporate dynamism on cash holding decisions spanning six years from 2012 to 2017. Random sampling technique was employed in order to arrive at thirty firms out of thirty-seven listed manufacturing firms, which comprised industrial and consumer goods sector. Board ownership and the existence of foreign expatriates were found to have a significant effect on cash holding decisions. It is concluded that directors with significant holdings tend to be more aggressive towards activities that enhance the performance of a firm, one of which is ensuring that optimal level of cash is held at a particular point in time in order to guide against liquidity problems, which may be caused by overtrading or even keeping excess idle cash, which is supposed to be invested in profitable ventures. Also, the fact that the existence of foreign expatriates will affect cash holding decisions, which may be justified by the fact foreign expatriates are displaying expertise because of diverse experience that they have been able to gain from different parts of the world.

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    • Table 1. Summary of variables
    • Table 2. Descriptive statistics
    • Table 3. Correlation analysis
    • Table 4. Random effects – Hausman test
    • Table 5. Panel regression analysis
    • Table A1. Random effect regression analysis