Electronic Theses and Dissertations (Masters/MBA)
Permanent URI for this collectionhttps://hdl.handle.net/10539/37942
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Item Market reaction to rights offer: A case of Johannesburg Stock Exchange(University of the Witwatersrand, Johannesburg, 2020) Lebepe, Busisiwe A.; MOKOALELI-MOKOTELI, THABANGFirms have at their disposal various sources to meet the capital requirements to fund their growth aspirations to generate sustainable shareholder wealth. Rights issues are key among this compendium of capital sources. This study investigated the short and medium-term market reaction of firms’ rights offer announcement event on the share price of Johannesburg Stock Exchange (JSE)-listed firms using an event study methodology to operationalise the research. A univariate t-test analysis determined the significance of the market price reaction post-announcement of a rights offer for JSE-listed shares. The cumulative abnormal returns (CAR) were calculated using the market model formula. The significance testing was conducted on the null hypotheses at a 5% significance level. Empirical evidence frequently indicates a significant price drop post-announcement of a rights offer. Studies indicate a general negative price reaction to announcing the rights issue on the JSE due to a dilution in earnings per share, regulation, and effects of floatation costs. This study’s results provide a contrarian view with empirical evidence indicating a significantly positive price movement of 2.30%, 2.94%, and 2.56%, respectively, from day three to five post-announcement of a rights offer. However, statistically insignificant negative price movement results were observed in the medium-term (30–252 days). The review period is from January 2006 to January 2020, covering periods from different economic cycles and the most recent data on rights offers. This study contributes to the ongoing assessment on price reaction post announcing a rights offer in the South African marketItem Testing the pecking order theory of capital structure in South Africa(2021) Andries, Lydia SejoThis study was conducted with the aim of testing the pecking order hypothesis as well as examining the variables influencing the capital structure decisions using companies that are listed on the main board of the Johannesburg Stock Exchange over 12 years from 2009 to 2020. It has been noted that several listed companies in South Africa are facing the challenge of survival in the current economic climate. The companies are constantly found to be in risky situations in relation to their finances, which makes it difficult for them to meet their responsibilities to creditors and other stakeholders. Making the correct decisions regarding capital structure enhances the financial well-being of any organization. When companies fail to make the right capital decisions, the result can be financial distress, bankruptcy, and liquidation. The research will also inform both potential and existing investors in South Africa on the general approach to funding of the JSE listed companies and therefore give investors some basis for their investment decisions. A total of 197 companies excluding financial companies were selected to be used in the study using stratified random sampling. Pooled ordinary least squares, fixed effects and random effects models with heteroscedasticity robust standard errors were used. The results from the model employed to test the pecking order hypothesis do not show strong evidence of company management going in line with the pecking order theory when making decisions regarding the financing of the company. The conventional leverage regressions run to determine the factors that influence the capital structure were found to be consistent with theoretical predictions except for firm size which had the correct sign as predicted by theory but statistically insignificant. Asset tangibility and firm size were both positive while Market to Book and profitability were both negative in line with theoretical predictions. All the conventional predictors of leverage were statistically significant at the 1% and 5% significance levels except for firm size which was not statistically significant at any of the conventional levels of significance. Thus, for the sample of companies used in this study and the sample period selected, there is no strong support for the pecking order theory while leverage is determined by growth options as proxied by MTB, asset tangibility as well as profitability. A limitation of the model used in this study is that it only considered firm-specific factors in determining the predictors of leverage. Future research could include macroeconomic variables as additional predictors of the financing decisions of listed firms in South Africa as empirical evidence shows that these macroeconomic are important in the leverage-financing deficit nexusItem Chinese stock market conditions and herd behaviour on the JSE: evidence from idiosyncratic volatile stock portfolios and industry sectors(2021) Bernstein, ShaunThe intention of the study was to broaden the knowledge and understanding of herd mentality on the JSE 40. Herd behaviour has the potential to destabilise and deteriorate financial markets, and a better understanding of this behaviour could minimize investment loss. Therefore, the study examined herd behaviour in terms of various idiosyncratic volatile stocks and different industry sectors using a dispersion-based model. The study also investigated whether or not Chinese market conditions influenced herd behaviour regarding those stock portfolios. The results suggest that fully and partly diversified portfolios tend to show evidence of herd behaviour. However, Chinese market conditions affect each stock portfolio differently. For example, the Industrial Portfolio Index was influenced by Chinese market conditions across all tranquil and turbulent periods. Meanwhile, other portfolios were only influenced by long tranquil or extreme volatile periods in the Chinese market. Interestingly, the Banking sector was the only stock portfolio that was not influenced by the Chinese market. Perhaps investors can use this knowledge to enhance their future portfolio returns