2014
DOI: 10.5539/ijef.v6n4p185
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Leverage and Corporate Market Value: Empirical Evidence from Zimbabwe Stock Exchange

Abstract: The main objective of this paper is to investigate the effects of leverage on the Zimbabwe Stock Exchange (ZSE) listed non-financial companies for the period 2009-2012. The study empirically examined the effect of a firm's leverage along other risk factors namely dividend yield and size on its market value. The results show a positive relationship between a firm's market value and its long-term debt to equity choice. On the other hand, we find an inverse relationship between a firm's market value and its total… Show more

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Cited by 3 publications
(2 citation statements)
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“…More so, the speed of adjustment and the determinants thereof differ from what has been provided in past studies. Few studies have examined the determinants of capital structure (Hove & Chidoko, 2012; Jambawo, 2014; Mutenheri & Green, 2003). However, to the best of our knowledge, none of them clarify whether firms have an optimal leverage or not and the factors that explain the speed of adjustment are not clear thus far.…”
Section: Introductionmentioning
confidence: 99%
“…More so, the speed of adjustment and the determinants thereof differ from what has been provided in past studies. Few studies have examined the determinants of capital structure (Hove & Chidoko, 2012; Jambawo, 2014; Mutenheri & Green, 2003). However, to the best of our knowledge, none of them clarify whether firms have an optimal leverage or not and the factors that explain the speed of adjustment are not clear thus far.…”
Section: Introductionmentioning
confidence: 99%
“…Nsereko & Kebonang (2005) and Ijewereme (2015) also support our finding that corruption interrupts a conducive environment for potential investors to invest in the economy of a country. It is imperative that corruption across all sectors is managed effectively considering that most of the firms in Zimbabwe rely on external investors for financing (Jambawo, 2014) and those investments bolster economic growth of the country in return (Zivengwa et al, 2011).…”
Section: Figure 2: Number Of Days Clients Had No Water Per Monthmentioning
confidence: 99%