Thesis (MCOM.) -- University of Limpopo, 2019 / Responsible investment combines shareholder’s objective of financial performance with environmental, social and governance (ESG) issues when making investment decisions. Responsible investment has become necessary because most companies neglect the impact of their operation on the environment; society while focusing on short-term profits. Moreover, the collapse of big companies due to poor governance also demand that they focus on the need to strengthen good corporate governance. This study examines whether SA mutual funds companies listed on the JSE incorporate environmental, social and governance (ESG) factors in making investment decisions. The study further examines the relationship between selected ESG factors and financial performance measured using ROE. A total of 28 companies where SA mutual fund companies have invested their funds were sampled and studied between 2007 and 2017. Secondary data was used whereby raw data was collected from the annual, integrated and sustainability reports of the selected companies’ websites and the IRESS database. Although many ESG factors could influence responsible investment such as climate change, waste and pollution, deforestation, working conditions, local community, bribery and corruption, however, some of these factors cannot be easily quantified. Hence, this study focused on one component per ESG factor that can be quantified. All these factors are required to have a deeper understanding of responsible investment. This study adopts the quantitative research method and adds to the growing number of studies by examining the relationship between independent variables represented by water usage (environmental), employee health and safety cost (social) and gender diversity (governance) and dependent variable which is financial performance measured by ROE. The Stata statistical software utilising the panel data method was used to analyse the data. The iii | Page study results show a positive and insignificant relationship between water usage and ROE, a positive an insignificant relationship between employee health and safety cost (number of work-related fatalities) and ROE and negative and insignificant relationship between the percentage of women on corporate boards and ROE. The results show that UN PRI guideline that encourages responsible investments is not followed by South African (SA) mutual fund companies. This study recommends that SA mutual funds companies follow the UN PRI educate different stakeholders as to the importance of incorporating ESG factors in business operations and the benefits thereof. Future studies can consider incorporating ESG indicators other the ones presented in this study.

M. Tech (Department of Accountancy, Faculty of Management Sciences) Vaal University of Technology. / Numerous studies have been conducted to ascertain factors that impact on wealth creation of companies. It has been suggested by various researchers that economic value added (EVA) could be used to measure company wealth creation and a number of factors have been suggested that contribute to wealth creation for company shareholders. The purpose of this study is to determine the company characteristics that influence wealth creation. The study uses EVA, the dependent variable, as a measure of a company’s wealth creation. The company characteristics, independent variables, are operating capital size, capital gearing, export and domestic distribution market segments, sub-sectors and the type of product companies release into the market. Identifying company characteristics that influence wealth creation could enlighten investors on where capital should be directed in order to maximise wealth creation for the companies’ shareholders and the entire economy. Logistic regression analysis models were used to analyse 61 industrial companies listed on the Johannesburg Stock exchange (JSE) for the 10-year period of 2005 to 2014. The use of logistic regression for this analysis was necessitated by the binary nature of the data (EVA positive or negative) and logistic regression analysis is suitable for such binary data. A series of tests were conducted to assess the suitability of logistic regression analysis in evaluating the impact of company characteristics on EVA. The classification accuracy test, which shows the predictive accuracy or the forecast strength of the logistic regression model for this study yielded a forecast strength of the highest of 97.2 percent for 2006 and lowest of 63.2 percent for 2014. The results indicated the appropriateness of the logistic regression model for the study. The data on the EVA of companies were collected from INET-BFA. Other sets of data also obtained from INET-BFA include companies’ volume of operating capital, capital gearing, company product types, distribution channels and sub-sectors to which each company belongs. The historical inflation and exchange rates were also obtained and applied in comparing with EVA. The comparison was to determine if there was any relationship between EVA, exchange rates and inflation. Results of the logistic regression analysis model reveal that the sub-sector factor, capital size factor and capital gearing factor impact on EVA, while market segment and company product type do not impact on EVA. The results show that the sub-sector categories of manufacturing, retail and extraction have significant positive impact on EVA while property management does not impact on EVA. The large capital category of the capital size factor shows significant positive impact on EVA while the medium capital category shows a negative impact on EVA, leaving small capital size having no impact on EVA. The high as well as moderate capital gearing categories of the capital gearing factor show negative impact on EVA, while low gearing shows no impact on EVA. However, some years covered in the study did not have any significant factors. Results of wealth creation evaluation of the industrial companies using EVA as a metric reveals that the industrial companies created more value than was destroyed in terms of EVA. The results show that manufacturing, extraction and retail sub-sectors achieved net positive EVA, while the property management sub-sector achieved net EVA negative in the 10-year period. Furthermore, results of EVA comparison with foreign exchange and inflation rates indicated a relationship between EVA, exchange rate and rate of inflation. The results show that as inflation rises, foreign exchange depreciates, while EVA performance of companies drops during the same period. Findings and recommendations of this study are important to company managers as they offer crucial information regarding the types of activities organisations could engage in and for investors to consider the types of businesses in which to invest. The findings are also important in suggesting how companies could organise their capital structure as well as the size of the capital in order to optimise wealth creation. Such considerations by company managers and investors alike would help to increase wealth creation within the economic system. This study made use of five company characteristics, which were stated into various categories. Additional company characteristics should be used in a further study to identify other company attributes that may impact on EVA. There is also the need to carry out further studies using other methods to find out if different results could be achieved. In addition, a study is recommended to establish why no significant factor was identified in some of the years.

Text in English with summaries in English and Afrikaans / The introduction of single stock futures to a market presents the opportunity to assess an individual company's response to futures trading directly, in contrast to the market-wide impact obtained from index futures studies. Thirty-eight South African companies were evaluated in terms of a possible price, volume, and volatility effect due to the initial trading of their respective single stock futures contracts. An event study revealed that SSF trading had little impact on the underlying share prices. A normalised volume comparison pre to post SSF trading showed a general increase in spot market trading volumes. The volatility effect was the main focus of this study with a GARCH(1,1) model establishing a volatility structure (pattern of behaviour) per company. Results showed a reduction in the level and changes in the structure of spot market volatility. In addition, a dummy variable regression could find no evidence of an altered company-market relationship (systematic risk) post futures. / Business Management / M.Com. (Business Management)

The aim of this study was to assess the feasibility of constructing optimal portfolios using the Johannesburg Securities Exchange tradable sector indices. Three indices were employed, namely Financials, Industrials and Resources and were benchmarked against the JSE All Share Index for the period January 2007 to December 2017. The period was split into three, namely before the 2007-2009 global financial crises, during the global financial crises and after the global financial crises. The Markowitz’s mean-variance optimisation framework was employed for the construction of global mean variance portfolios. The results of this study showed that it was feasible to construct mean-variance efficient portfolios using tradable sector indices from the Johannesburg Securities Exchange. It was also established that, on the other hand, global mean variance portfolios constructed in this study, outperformed the benchmark index in a bullish market in terms of the risk-return combinations. On the other hand, in bear markets, the global mean variance portfolios were observed to perform better than the benchmark index in terms of risk. Further, the results of the study showed that portfolios constructed from the three tradable indices yielded diversification benefits despite their positive correlation with each other. The results of the study corroborate the findings by other scholars that the mean-variance optimisation framework is effective in the construction of optimal portfolios using the Johannesburg Securities Exchange. The study also demonstrated that Markowitz’s mean-variance framework could be applied by investors faced with a plethora of investment choices to construct efficient portfolios utilising the Johannesburg Securities Exchange tradable sector indices to achieve returns commensurate with their risk preferences. / Business Management / M. Com. (Business Management)

Abstract in English, Afrikaans and Zulu / This study is aimed at investigating the capital structures of the Johannesburg Stock Exchange listed South African IT firms and compare these to the capital structures of NASDAQ listed US IT firms in order to better understand the capital structures that JSE listed South African firms employ. The study made use of secondary data in the form of ratio analysis from public sources, as well as the published annual financial statements of the firms. The Generalised Method of Moments regression analysis technique was used in order to test the data for relationships between certain ratios. The study found positive relationships between the firm’s capital structure and its return on equity; meaning that firms should make use of their capital structures to maximise their return on equity and as a result, returns for its shareholders. / Hierdie studie is daarop gerig om die kapitaalstrukture van Suid-Afrikaanse IT-ondernemings wat op die Johannesburgse Aandelebeurs (JSE) genoteer is te ondersoek, en dit te vergelyk met die kapitaalstrukture van NASDAQ-genoteerde Amerikaanse IT-ondernemings ten einde die kapitaalstrukture wat JSE-genoteerde Suid-Afrikaanse ondernemings gebruik, beter te verstaan. Die studie het sekondêre data in die vorm van verhoudingsontleding uit openbare bronne, asook die gepubliseerde finansiële jaarstate van die ondernemings gebruik. Die Veralgemeende Metode van Momente-regressieanalisetegniek is gebruik ten einde die data vir verwantskappe tussen bepaalde verhoudings te toets. Die studie het positiewe verwantskappe tussen die ondernemings se kapitaalstruktuur en opbrengs op ekwiteit gevind; dit beteken dat ondernemings hul kapitaalstrukture behoort te gebruik om hul opbrengs op ekwiteit en gevolglik ook opbrengste vir hul aandeelhouers te maksimeer. / Lolu cwaningo kuhloswe ngalo ukuhlola izinhlaka ezifaka imali ezinkampanini zobuchwephese bamakhompuyutha ezisohlwini lwe-Johannesburg Stock Exchange (i-JSE), nokuziqhathanisa nezinhlaka ezifaka imali ezinkampanini zase-US zobuchwepheshe bekhompuyutha ezisohlwini lwe-NASDAQ ukuze kuqondakale kangcono izinhlaka ezifaka imali ezinkampanini zaseNingizimu Afrika ezisohlwini lwe-JSE. Lolu cwaningo lusebenzise imininingwane eqoqwe kweminye emayelana nokucwaningwa kwezinombolo etholakala emithonjeni evulelekile emalungwini omphakathi kanye nakwizitatimende zezezimali zonyaka zezinkampani. Kusetshenziswe indlela yokucwaninga ehlawumbiselayo ngokuqhathanisa ubudlelwano neyaziwa ngokuthi yi-Generalised Method of Moments, ukuze kuhlolwe imininingwane eveza ubudlelwano phakathi kwezinombolo ezithile. Ucwaningo luthole ubudlelwano obubonakalayo phakathi kwezinhlaka ezifaka imali enkampanini kanye nenzuzo yayo yamanani amasheya; okusho ukuthi izinkampani kumele zisebenzise izinhlaka zazo ezizifakela imali ukwandisa amathuba enzuzo yamanani amasheya okuyinto ezodala ukuba kuhlomule abanini-bamasheya. / Finance, Risk Management and Banking / M. Com. (Finance)

Value and size related equity investment strategies are supported by a large body of empirical research that shows a persistent premium, both longitudinally and crosssectionally. However, the competing rational and behavioural finance explanations for the success of these strategies are a subject of debate. The rational explanation is that the premium earned on value shares or shares of small companies can be attributed to higher risk. Behaviouralists argue that such shares are not riskier and attribute the premium to cognitive errors and biases in human decision making. The purpose of this study is to determine, firstly, whether the value and size premium exist in South Africa during the period July 2006 to June 2012, which includes one of the worst equity market crises in history. Secondly, this study sets out to determine whether the premium earned on value and size strategies are adequately explained by the principles of rational finance theory. To provide evidence regarding the existence of the value premium and size effect, returns are analysed, cross-sectionally, on portfolios of shares sorted by value and size. For evidence of a rational explanation, returns are regressed on value and size variables, and the relative riskiness of value and small companies is analysed. The results show evidence of a value premium in portfolios of small companies, but not big companies. The size effect is found not to be statistically significant. While regressions do show significant relationships between value and size variables and returns, these variables are found not to be associated with higher levels of risk. The conclusion is that the evidence does not support a rational, risk based explanation of the returns

Text in English with summaries in English and Afrikaans / The introduction of single stock futures to a market presents the opportunity to assess an individual company's response to futures trading directly, in contrast to the market-wide impact obtained from index futures studies. Thirty-eight South African companies were evaluated in terms of a possible price, volume, and volatility effect due to the initial trading of their respective single stock futures contracts. An event study revealed that SSF trading had little impact on the underlying share prices. A normalised volume comparison pre to post SSF trading showed a general increase in spot market trading volumes. The volatility effect was the main focus of this study with a GARCH(1,1) model establishing a volatility structure (pattern of behaviour) per company. Results showed a reduction in the level and changes in the structure of spot market volatility. In addition, a dummy variable regression could find no evidence of an altered company-market relationship (systematic risk) post futures. / Business Management / M.Com. (Business Management)

The goal of the study is to examine the relationship between financial sector development and output growth in the agricultural, mining and manufacturing sectors in South Africa. The analysis is based on the hypothesis that financial development is essential for promoting production growth in an economy. To test the hypothesis, in the South African context, the vector autoregressive model (VAR) framework and Granger causality test are applied to a quarterly data set starting from 1970 quarter one to 2009 quarter four. The results suggest that financial intermediary development (bank based measure) and stock market development (market based measure) have a positive impact on output growth in the agriculture, mining and manufacturing sectors in South Africa. There is evidence of a one way causal relationship between financial sector development and sectoral output growth. Particularly, there is evidence that financial intermediary development and stock market development causes output growth in the agriculture, mining and manufacturing sectors in South Africa. However, there is no evidence showing causality running from sectoral output growth to financial sector development. The results provide evidence supporting the theory which states that financial development is essential to promote output growth in a country i.e. in our case South Africa. Thus an efficient financial system which promotes efficient channeling of resources towards the agricultural, mining and manufacturing sectors should be built.

This study examines the nature of the relationship which exists between mining sector production and development of the financial systems in South Africa. This is particularly important in that the mining sector is considered to be one of the major contributors to the country’s overall economic growth. South Africa is also considered to have a very well developed financial system, to the point where the dominance of one over the other is difficult to identify. Therefore offering insight into the nature of this relationship will assist policy makers in identifying the most effective policies in order to ensure that the developments within the financial systems impact appropriately on the mining sector, and ultimately on the economy. In addition to using the conventional proxies of financial system development, this study utilises the principal component analysis (PCA) to construct an index for the entire financial system. The multivariate cointegration approach as proposed by Johansen (1988) and Johansen and Juselius (1990) was then used to estimate the relationship between the development of the financial systems and the mining sector production for the period 1988-2008. The study reveals mixed results for different measures of financial system development. Those involving the banking system show that a negative relationship exists between total mining production and total credit extended to the private sector, while liquid liabilities has a positive relationship. Similarly, with the stock market system, mixed results are also obtained which reveal a negative relationship between total mining production and stock market capitalisation, while a positive relationship is found with secondary market turnover. Of all the financial system variables, only that of stock market capitalisation was found to be significant. The result with the financial development index reveals that a significant negative relationship exists between financial system development and total mining sector production. Results on the other variables controlled in the estimation show that positive and significant relationships exist between total mining production and both nominal exchange rate and political stability respectively. Increased mining production therefore takes place in periods of appreciating exchange rates, and similarly in the post-apartheid era. On the other hand, negative relationships were found for both trade openness and inflation control variables. The impulse response and variance decomposition analyses showed that total mining production explains the largest amount of shocks within itself. Overall, the study reveals that the mining sector might not have benefited much from the development in the South African financial system.

This thesis analyses the effects of relative market share and the rate of market growth on the strategic characteristics and financial performance of selected companies quoted on the Johannesburg Stock Exchange over the period 1977 to 198. It is well established that business performance is partially contingent upon relative market share position and the rate of market growth. Together these variables comprise the basis of the Boston Consulting Group approach to portfolio analysis in the form of the Boston Consulting Group Growth/Share Matrix. A methodology was designed to test the validity of this matrix in measuring and predicting corporate behaviour at the business level in South Africa. Selected companies were placed into the matrix and analysed in terms of their strategic attributes (represented by selected financial ratios) and their level of performance (represented by a wide range of financial performance measures). The research findings show that relative market share and the rate of market growth have a significant impact on the strategic attributes and financial performance of South African businesses. Also, certain attributes are closely associated with particular types of performance. Therefore, given a specific performance target, management should ultimately be able to isolate and monitor the relevant strategic attributes in ensuring that the target is achieved. The analysis of contingent models of strategy is still in its infancy, but this study indicates that the field is possessed of great potential.