3. Electronic Theses and Dissertations (ETDs) - All submissions
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Item Investor sentiment as a factor in an APT model: an international perspective using the FEARS index(2017) Solanki, Kamini NarendaTraditional finance theory surrounding the risk-return relationship is underpinned by the CAPM which posits that a single risk factor, specifically market risk, is priced into asset returns. Even though it is a popular asset pricing model, the CAPM has been widely criticised due to its unrealistic assumptions and the APT was developed to address the CAPM’s weaknesses. The APT framework allows for a multitude of risk factors to be priced into asset returns; implying that it can be used to model returns using either macroeconomic or microeconomic factors. As such, the APT allows for non-traditional factors, such as investor sentiment, to be included. A macroeconomic APT framework was developed for nine countries using the variables outlined by Chen, Roll, and Ross (1986) and investor sentiment was measured by the FEARS index (Da, Engelberg, & Gao, 2015). Regression testing was used to determine whether FEARS is a statistically significant explanatory variable in the APT model for each country. The results show that investor sentiment is a statistically significant explanatory variable for market returns in five out of the nine countries examined. These results add to the existing APT literature as they show that investor sentiment has a significant explanatory role in explaining asset prices and their associated returns. The international nature of this study allows it to be extended by considering the role that volatility spill-over or the contagion effect would have on each model.Item Performance analysis of South African hedge funds(2017) Adenigba, JosephWe use a comprehensive HedgeNews Africa data set from January 2007 to October 2016 to examine the performance of South African Hedge Funds in relation to JSE All share Index and All Bond Composite Index. We do so using Capital Assets Pricing Model (CAPM), Fama and French three-factor model and four factor model. Research on South African hedge funds are scarce, which motivate this research and in the light of the new regulation that provide for two categories of hedge funds, namely Qualified Investor hedge funds and Retail Investors hedge funds, to see how ordinary investor can benefit from this unique industry. The results show that South African hedge fund have low correlation with the All Bond Composite Index, but do not outperform the JSE All Share Index. We also find that South African hedge fund outperforms the All Bond Composite Index. We further test whether South African hedge fund managers have market timing ability and find that they do not have any significant market timing ability.Item The volatility factor and the performance of South African hedge funds(2017) Momoza, BongiweThe study focuses on determining the driving factors of the performance of different hedge fund strategies in the South African industry. This is done through the application of an augmented capital asset pricing model. The model is predicated on the original (Sharpe, 1964) and (Lintner, 1965) Capital Asset Pricing Model. The researcher uses the excess market returns and the South African Volatility index as independent variables in the explanation of hedge fund returns at strategy and portfolio level. Through the analysis, the researcher finds that the excess market returns and the South African Volatility Index characterize the hedge fund expected returns for some of the strategies using OLS and GMM techniques. The second section uses a system of seemingly unrelated regressions for both the OLS and GMM techniques to determine if the two explanatory variables are priced into the different strategies; this indeed is shown to be the case for some of the strategies examined in the analysis.Item The impact of interest rates on stock returns: empirical evidence from the JSE Securities Exchange(2016) Msindo, Zethu HandreyThis study investigates how interest rates impact the South African Stock market. We investigate how the selected interest rates proxies predict the level of the FTSE/JSE All Share Index returns. The vector auto-regression (VAR) model was estimated and interpreted, based on the monthly data from June 1995 to September 2014. Using tools such as Granger causality, impulse response function and variance decomposition, we found that the selected variables did not significantly influence the FTSE/JSE All Share Index returns. Consequently, these variables are not useful as predictive tools for the South African stock market returns.Item The performance of secondary equity offerings on the Johannesburg Stock Exchange(2016) Alves da Cunha, JesseInternational studies have widely documented the long-run underperformance of firms conducting secondary equity offerings (SEOs), a phenomenon commonly referred to as the ‘new issues puzzle’. Understanding the market’s reaction to SEOs is vital for managers who are commonly tasked with deciding on how to finance their firm’s operations. This study investigates the short-run and long-run performance of firms conducting SEOs on the Johannesburg Stock Exchange (JSE) over the period of 1998 to 2015, by exploring both rational and behavioural models in predicting SEO behaviour. Event-study analysis reveals that the market generally reacts negatively to the announcement of SEOs with a statistically significant average two-day cumulative abnormal return of -2.6%. Using a buy-and-hold abnormal return approach, as well as factor regression analysis to study the long-run share performance of issuing firms, there is no evidence that issuing firms significantly underperform relative to non-issuing firms over a five-year period when testing for abnormal share return performance with the Capital Asset Pricing Model. Furthermore, issuing firms exhibit no consistent signs of operating underperformance in comparison to non-issuing firms over a fiveyear period. Finally, in evidence contradicting the market timing theory, investor sentiment appears to bear no consistently significant influence on either a firm’s decision to issue equity, or on the short-run and long-run performance of SEOs. Overall, the results imply that the longrun performance of SEOs conducted in South Africa is best described by rational explanations centred on the risk-return framework. There is no consistent evidence of any ‘new issues puzzle’ on the JSE.