Thesis (PhD)--Stellenbosch University, 2015. / ENGLISH ABSTRACT: Share repurchases were allowed in South Africa as from 1 July 1999. The concept of repurchasing shares is therefore relatively new in this country, compared to many other countries (e.g. the United States of America and the United Kingdom), where it is an established practice. Considerable research in the field already exists, providing empirical evidence on the extent of share repurchase activities and current theoretical thinking on the motivations for share repurchases and the determinants affecting the choice of payout methods. In South Africa there are indications, as this study demonstrates, that research on payout methods and payout reform has become a matter of urgency. Share repurchase activity by JSE-listed companies is not comprehensively recorded by South African financial data sources. Prior research on South African share repurchases is limited, mainly owing to the fact that a comprehensive share repurchase database is not available. This study sets out to document the extent of share repurchases by companies in selected JSE-listed sectors (for reporting periods including 1 July 1999 to the 2009 year-ends of the companies) and to test whether empirical evidence and current theoretical thinking also applied in South Africa. The results of these tests were used to develop a model to ascertain what the significant determinants were when a JSE-listed company had to decide between repurchasing shares and paying special dividends. This study found that the South African regulatory environment pertaining to share repurchases differed from the regulatory environments of other countries. The main differences related to the share repurchase announcement structure (namely the JSE Listings Requirements that open market share repurchases need to be announced via SENS only once a 3% limit has been reached) and that subsidiaries are allowed to repurchase shares in the holding company (and have a tax benefit when compared to share repurchases made by the holding company itself). These differences affected the results of this study. On compiling a database on share repurchases by companies in selected JSE-listed sectors, it was found that the share repurchase announcements (made via SENS) could not be used as the main source to compile comprehensive share repurchase data (mainly owing to the 3% rule on open market share repurchases). Annual report disclosures were therefore scrutinised to obtain share repurchase data for this study. These disclosures were found to be applied inconsistently by companies (mainly because subsidiaries were allowed to repurchase shares in the holding company; International Financial Reporting Standards and the JSE Listings Requirements did not adequately cater for the differing South African regulatory environment in their disclosure stipulations; and compliance to the disclosure requirements were not adequately monitored). Consequently, an extensive process of verification was applied in order to compile a comprehensive and reliable share repurchase database for this study. When testing whether empirical evidence and current theoretical thinking on share repurchases also applied in South Africa, it was found that the unique South African regulatory environment led to certain aspects of the South African share repurchase experience not mirroring the global precedent. The main differences between the South African and global share repurchase evidence which emerged from the present study are that the open market share repurchase type is not the outright favoured repurchase type (as is the case globally); that subsidiaries repurchasing shares in the holding company are the favoured South African share repurchasing entity (as opposed to subsidiaries not being allowed to repurchase shares in most other countries); and that share repurchases announced via SENS do not represent comprehensive share repurchase data (as opposed to global security exchanges requiring share repurchase announcements on a regular and accurate actual-time basis). When testing the current theoretical thinking on the information-signalling motivation for share repurchases, it was found that the motivation for South African open market and pro rata share repurchases mirrored the current theoretical thinking. Open market share repurchases were found to be motivated by the information-signalling hypothesis, while the short-term abnormal returns of pro rata offers were offset by the negative abnormal returns over the long term. A share repurchase type unique to the South African share repurchase environment (namely the repurchase of treasury shares by the holding company) was found not to be motivated by the information-signalling hypothesis. This study also found that companies repurchasing shares were generally classified as value companies (which tend to be undervalued) prior to the repurchase transaction which mirrored the current theoretical thinking. In developing a model of choice to determine what the main determinants were when a company had to decide between open market share repurchases and special dividends, this study found that some of the South African determinants mirrored the current theoretical thinking, but also identified determinants which were not identified as significant determinants in global research. This study found that ownership structure, size of the distribution and level of company undervaluation were the significant factors which affected a company’s choice of payout method. It was found that smaller companies, with fewer shareholders and more public investors favoured open market share repurchases over special dividends. Open market share repurchases were found to be selected for smaller distributions when compared to special dividends. Companies paying special dividends were found to exhibit lower degrees of undervaluation when compared to companies which repurchased shares in the open market. This study found that share repurchases became a popular means of distributing excess cash as from 2005. A total amount of about R384 billion was spent on share repurchases during the reporting periods including 1 July 1999 to the 2009 year-ends of the companies included in the population of this study. Share repurchases did not exceed dividend payments over the target period and represented about 36 per cent of total payouts. In 2009, the final year of the study, share repurchases represented about 44 per cent of total payouts. The results of this study showed that investors would benefit over the long term when investing in companies which repurchased shares in the open market. It was also found that there were certain characteristics which were evident in companies when choosing open market share repurchases rather than special dividend payments. This study concluded that the South African regulatory environment possesses many characteristics of a developing economy’s financial systems. Suggestions are given on how to improve and better align the South African repurchasing environment to those of developed economies.

Thesis (MBA)-- Stellenbosch University, 1995. / ENGLISH ABSTRACT: The price of shares is determined primarily by investors' current expectations about the future values of variables that measure the relevant aspects of a company's performance and profitability, particularly the anticipated growth rate of earnings per share. Empirically, no model estimated with only historical senes data has been found to have greater forecast accuracy than the random walk model in estimating earnings one period ahead. This has led to the conclusion that past and future earnings growth is uncorrelated and that only year t-l earnings are useful in forecasting year t earnings. Research by Mozes in the USA has found the opposite and his model is applied to the South African situation. The aim is to determine whether the Mozes model has greater forecasting accuracy in the prediction of earnings per share than the random walk model. The present study shows that the Mozes model has greater forecast accuracy in the prediction of earnings per share than the random walk model if the following criteria are met: the company must be classified as a large company in terms of market capitalisation; or the percentage increase in earnings per share must be large; and the earnings per share must be classified in the growth mode. It is demonstrated that if these criteria are met, the historical growth in earnings and the future growth in earnings are positively correlated and not distributed at random. If earnings per share is classified in the non~growth mode, the random walk model is more accurate in the prediction of earnings per share than the Mozes model and as such, only the earnings per share of year t-l is important in forecasting year t's earnings per share. The most important conclusion from the study is that earnings per share in the South African market is not always randomly distributed. / AFRIKAANSE OPSOMMING: Die prys van aandele word primer bepaal deur beleggers se huidige verwagtinge rakende die toekomstige waarde van veranderlikes wat relevante aspekte van die maatskappy se prestasie en winsgewendheid beinvloed, meer spesifiek die geantisipeerde groei in verdienste per aandeel. Empiriese studies het bevind dat die toevalslopie-model die grootste akkuraatheid in die vooruitskatting van verdienste vir een periode in die toekoms lewer indien van historiese tydreeksdata gebruik gemaak word. Die gevolgtrekking word dus gemaak dat groei in verdienste van die verlede en die toekoms nie gekorreleerd is nie en dat slegs jaar t-1 se verdienste belangrik is in die vooruitskatting van jaar t se verdienste. Navorsing deur Mozes in die VSA het die teendeel getoon en die model is in die ondersoek toegepas op Suid-Afrikaanse data om te bepaal of dieselfde bevindinge geld. Resultate van hierdie studie toon dat daar aan die volgende kriteria voldoen moet word alvorens die Mozes-model meer akkurate vooruitskattings van verdienste per aandeel lewer as die toevals-Iopiemodel : -die maatskappy behoort as 'n groot maatskappy geklassifiseer te wees volgens markkapitalisasie; of -die persentasieverandering in verdienste per aandeel behoort groot te wees; en -indien verdienste per aandeel as synde in die groeifase geklassifiseer is. Indien aan die kriteria voldoen word, is aangetoon dat historiese groei in verdienste en toekomstige groei in verdienste gekorreleerd is en nie ewekansig versprei is nie. In die gevalle waar verdienste per aandeel as synde in die nie-groeifase geklassifiseer is, lewer die toevalslopie-model oorheersend meer akkurate vooruitskattings van verdienste per aandeel as die Mozes-model en gevolglik is daar bevind dat slegs jaar t ~ 1 se verdienste per aandeel belangrik is vir die vooruitskatting van jaar t se verdienste per aandeel. Die belangrikste afleiding vanuit die studie is gevolglik dat verdienste per aandeel in die SuidAfrikaanse mark nie in aile gevalle sonder meer ewekansig versprei is nie.

A research report submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, in fulfillment of the requirements for the degree of Master of Management in Finance and Investment. June 2017 / This research report explores how various macroeconomic surprises impact on individual stock returns in South Africa. The focus of the study is on the individual constituent stocks of the FTSE/JSE Top 40 Index listed during the period January 2005 to December 2015. This report employs an event study and Bayesian Vector Autoregressive (BVAR) analysis approach to provide comprehensive insights into the relationship between the macroeconomic surprises and the individual stock returns in South Africa. This study closely mirrors a previous study conducted by Gupta and Reid (2013) which explored the impact of five macroeconomic surprises on general stock market indices (ALSI and JSE Top 40) and industry-specific stock returns in South Africa. However, in the interests of completeness and robustness, there are a few material differences and additional innovations introduced in this report. The event study results show that individual stock returns in South Africa are highly sensitive to GDP growth and CA surprises. Upon immediate impact, the GDP growth shocks cause negative stock returns indicating that initially market participants have a general dislike for the surprise element in GDP growth surprise announcements. However, post immediate impact, the stock returns increase and remain positive in line with widely hypothesized economic theory. In addition to GDP growth and CA surprises, the BVAR analysis indicates that USFed shocks have significant dynamic effects on individual stock returns in South Africa. The study finds that individual banking stocks and resource stocks are significantly sensitive to REPO surprises, whilst individual retail, property and consumer goods stocks are very responsive to GDP growth shocks. / MT2017

A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science. Johannesburg 2014. / The application of agent based modelling in nance allows market experiments to be undertaken which would normally be prohibitive due to cost, complexity and other factors. Agent based models use simple behaviour and interaction to produce complex outcomes. We introduce the requirements of an agent based market simulator based on protocol stipulated by the Johannesburg Stock Exchange. The requirements are then translated into a technical design. This design is implemented using the Microsoft .NET framework. The product of this design and creation approach is a market simulator which is then used to run three simulations where different agent behaviour is demonstrated. The approach and results of the simulations are documented to show possible use cases of the simulator.

A research report submitted to the School of Economic and Business Sciences, Faculty of Commerce, Law and Management, University of the Witwatersrand, in partial fulfilment (50%) of the requirements for degree of Master of Commerce in Finance. Date of submission: April 2016 / International 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. / MT2017

Thesis (M.Com. (Finance))--University of the Witwatersrand, Faculty of Commerce, Law and Management, School of Economic and Business Sciences, 2016. / Could not copy abstract

A research report submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, Johannesburg, in partial fulfillment of the requirements for the degree of Master of Management in Finance and Investment. Johannesburg, 2016 / The prediction of stock price and index level in a financial market is an interesting but highly complex and intricate topic. Advancements in prediction models leading to even a slight increase in performance can be very profitable. The number of studies investigating models in predicting actual levels of stocks and indices however, far exceed those predicting the direction of stocks and indices. This study evaluates the performance of ensemble prediction models in predicting the daily direction of the JSE All-Share index. The ensemble prediction models are benchmarked against three common prediction models in the domain of financial data prediction namely, support vector machines, logistic regression and k-nearest neighbour. The results indicate that the Boosted algorithm of the ensemble prediction model is able to predict the index direction the best, followed by k-nearest neighbour, logistic regression and support vector machines respectively. The study suggests that ensemble models be considered in all stock price and index prediction applications. / MT2017

Thesis submitted in fulfilment of the requirements for the degree of Masters of Management in Finance and Investments in the Faculty of Commerce, Law and Management Wits Business School at the University of the Witwatersrand , 2016 / We 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. / MT2017

Thesis (M.Com. (Accounting))--University of the Witwatersrand, Faculty of Commerce, Law and Management, School of Accountancy, 2017 / Research into corporate governance has shown that there are a number of factors that influence company performance, one of them being ownership structure. The objective of this study is to determine how ownership structure affects the performance of companies listed on the Johannesburg Stock Exchange (JSE). Five categories of shareholders were identified namely, managerial shareholders, institutional investors, family shareholders, government shareholders and foreign shareholders. Some shareholders of a company may be entirely passive whereas others may play a more active role in the company or perform an important monitoring service. The various motivations and abilities of the different types of shareholders may directly impact their ability to influence the major corporate decisions of the company that will ultimately impact the performance of the company. Using return on assets (ROA) and return on equity (ROE) as performance measures this study investigates the effect of ownership structure on the performance of 143 companies from the year 2004 to 2014. The results of the study reveal that of the five different categories of shareholders identified it was only managerial shareholders and institutional shareholders that had a significant impact on a company’s performance / GR2018

A 50% research report to be submitted in partial fulfilment for the degree of: MASTER OF COMMERCE (FINANCE) UNIVERSITY OF THE WITWATERSRAND / Several studies have assessed the forward-looking characteristic of share prices and confirmed their resultant capability as leading indicators of economic activity, especially in advanced economies. Contention however exists when evaluating the role of stock markets as leading indicators for less developed countries. This study examines the validity of the stock market as a leading indicator of economic activity in South Africa using quarterly time-series data for the period January 1992 to June 2014. Causality and cointegration between the JSE All Share Index against Real GDP and Real Industrial Production is evaluated by employing Granger-causality tests and the Johansen cointegration procedure. The empirical investigation indicates that unidirectional causality exists between the nominal and real stock indices and economic activity in South Africa, and confirms a long-run relationship between the JSE and GDP and Industrial Production. Therefore, similar to the study by Auret and Golding (2012), in a South African context, the stock market is in fact a leading indicator of economic activity. / MT2017