M.Com. (Financial Management) / Working capital management (WCM) is considered critical for the success of all business and especially for small businesses. A recession (such as the one that took place in 2009) complicates the working capital management of small businesses. Working capital management of a sample of small and medium enterprises in South Africa were investigated to determine how they manage their working capital during challenging economic conditions. The impact of the 2009 economic recession on WCM was specifically investigated by following a quantitative descriptive research approach. The study sample consisted of 44 companies listed on the JSE Ltd AltX Index. A trend analysis was applied on WCM variables to determine significant changes overthe study period. Because variables were not normally distributed, the Mann Whitney U test was conducted to determine the statistical significance of the WCM mean ranks pre-, during and post-recession phases. The trend analysis of working capital management over the six-year study period exhibited a significant improvement in the working capital management level during the economic recession. This was largely attributed to delaying payment to creditors. The analysis of the WCM variables pre-, during and post-recession phases indicated that there were no significant changes in WCM that can be attributed to the 2009 economic recession. It was concluded that although there were changes in working capital management over the study period, the changes could not only be attributed to the 2009 recession.

Corporate Social Responsibility (CSR) is a much debated and ever changing topic. From a South African context, one of the most recent means of measuring CSR has been through the use of the Johannesburg Stock Exchange (JSE) socially responsible investment index (SRII). The JSE SRII was first introduced in 2004 and has grown in popularity and effectiveness since. Included amongst the criteria for inclusion in this index is compliance with black economic empowerment (BEE). The index measures companies against the triple bottom line (environment, society&economy). Companies included in the index are deemed to have good CSR practices. This study evaluates the effects of CSR on the corporate financial performance (CFP) of the top 100 listed companies on the JSE over a 10 year period (2002-2011). The findings of the study suggest that companies not included in the SRII, on average, perform better than SRII companies. The basis of this conclusion is on the analysis of the results of the total return index (TRI), return on assets ratio (ROA) and the net profit margin percentage (NPM). / Dissertation (MCom)--University of Pretoria, 2013. / Financial Management / unrestricted

This research evaluates the impact of job satisfaction on the share price of companies listed on the Johannesburg Stock Exchange (JSE). Current HRM theory stipulates that job satisfaction can improve retention and employee motivation leading to accrued benefits for the shareholder (Edmans, 2011). In addition over the last few years, studies have shown the JSE to be inefficient as it does not react rapidly by setting its share price when provided with new qualitative news. This research was conducted as a longitudinal study of the relationship between job satisfaction and shareholder returns. This was done through a quantitative approach using a combination of an event based and style research methodology. The results of this research confirms HRM theory that positive benefits accrued from investing in job satisfaction outweigh the cost. This is shown via a 4.1% pa return over an equal weighted index in the period 2008-2014. In addition the JSE was also shown to be inefficient, as the companies listed on the top employers were still obtaining abnormal returns 59 days after the announcement. The findings of this study thus provide valuable information to traders on the JSE on the returns of listed companies that invest in job satisfaction. / Dissertation (MBA)--University of Pretoria, 2014. / zkgibs2015 / Gordon Institute of Business Science (GIBS) / Unrestricted

Various equity investment styles have been developed and documented extensively in recent history – these styles have, in certain cases, outperformed the broader market. Muller and Ward (2013) have done extensive research into the efficiency of various equity styles on the Johannesburg Stock Exchange (JSE), and made a meaningful contribution to the topic in the South Africa arena by using a sophisticated style engine and good quality data to prove the effectiveness of certain styles in outperforming the JSE All Share Index. This research builds on Muller and Ward’s methodology by combining the style-based investment approach with the concept of portfolio insurance, using synthetic replication of a put option over the style-based portfolio to provide protection. We found that the application of synthetic portfolio insurance is effective in lessening the effect of market downturns, and that optimising the desired level and time period of protection can lead to outperformance of the unprotected style-based portfolio as the implied cost of the synthetic option is negated by the avoidance of large downturns in the market. / Dissertation (MBA)--University of Pretoria, 2014. / zkgibs2015 / Gordon Institute of Business Science (GIBS) / Unrestricted

The South African government introduced the Black Economic Empowerment (BEE) as an intervention to resolve economic imbalances. In furthering inclusivity in the previously exclusive sectors, like Mining, the BEE legislations and Mining Charter were introduced to benefit the HDSA. The study addressed a significant gap in BEE research, which is important within the South African context, as the country currently reviews progress after the initial 20 years of democratic dispensation. The research examined the share price performance of mining stocks listed on the JSE by tracking their share price performance after announcements relating to black empowerment transactions. The objectives of the research were to, first, determine whether announcements of BEE transactions lead to better shareholder wealth creation in the South African mining sector, second, to determine the impact of these announcements on Old and BEE mining companies that were listed on the JSE post- 1994, third, to determine whether the early BEE announcements made before the release of the Mining Charter in September 2010 had a greater positive impact on the Cumulative Abnormal Returns (CARs) of Mining companies compared to those made after the amendment to legislation. The research employed an event study methodology to analyse a sample of 26 mining companies that made a total of 241 qualifying announcements from January 2000 to November 2014. The results of the study showed negative impact on the CARs of the mining companies. It was noted that the old mining companies that existed before 1994 had better average abnormal return than the BEE companies. Further, the results showed that the Average Abnormal Returns (AARs) of the BEE announcements made prior to the Mining Charter had greater AARs than those made after the implementation. In sum, the BEE announcements had largely a negative impact on share performance of the mining companies. / Dissertation (MBA)--University of Pretoria, 2014. / lmgibs2015 / Gordon Institute of Business Science (GIBS) / Unrestricted

Magister Commercii - MCom / Over the past four decades, size, value and momentum effects have been uncovered on stock markets, and several multifactor asset pricing models have been proposed to explain them. The associated premiums have been found to be time-varying and the explanations behind the effects are still debated. In South Africa, contradictory findings have been reported on the existence of those effects and the explanatory power of multifactor models. More important, the cyclicality of the effects and the risk/mispricing debate have been given little attention. In this regard, this study purports to establish the existence of size, value and momentum effects, investigate the explanatory power of the Fama-French three- and five-factor models (FF3F and FF5F respectively), and Carhart four-factor model (C4F), and examine the cyclicality and risk-based rationale of the style premiums on the Johannesburg Stock Exchange (JSE). Using a research sample comprised of common stocks included in the FTSE/JSE All Share Index (ALSI) for the period 1 January 2002 - 31 December 2018, the study subdivides the examination period into two business cycles, with each cycle including one upward phase and one downward phase

Whether mergers and acquisitions create or destroy shareholder value for acquiring companies has been widely researched and remains fairly inconclusive. The purpose of this research was to study the short term and long term impacts of large acquisitions on the share price performance of acquiring companies using the event study methodology.From a population of 11 062 acquisitions made by JSE listed companies between 1999 and 2008, 39 acquisitions met the relevant criteria of non-occurrence of confounding events and the availability of information. The Cumulative Abnormal Returns of acquiring companies over a short term period surrounding the announcement date and the longer term post-announcement date period were tested to observe whether they were significantly different to zero.Whilst statistically significant Cumulative Abnormal Returns were observed over the short term 3-day event window [-1;+1], no statistically significant Cumulative Abnormal Returns were observed around the remaining five event windows. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted

This research project investigated the effectiveness of the Piotroski screen to select financially sound stocks from the upper quintile of high book-to-market value (growth) stocks on the Johannesburg Stock Exchange (JSE). The period chosen for this study was all the years since the publication of the Piotroski screen in 2000 until the most recent financial year, 2011.Although no conclusive evidence was found that the mean returns from the portfolio of financially strong firms that were selected by means of the Piotroski screen were significantly better than the portfolio of value stocks, it was strongly suspected that the small group of firms that were signified as financially the strongest by the Piotroski screen had a decreased probability of containing firms with negative one year buy-and-hold returns compared to the other portfolios. Although the outcome was inconclusive due to small sample sizes, it was also strongly suspected that the one year buy-and-hold strategy yielded returns that were in the order of almost four times better than the five year buy-and-hold strategy.It was recommended that, in order to minimise suboptimal investor behaviour caused by psychological biases on the JSE, investors should adopt a mechanical investment method based on objective financial statement analysis, using the Piotroski screen to select financially strong firms from the pool of value firms. It was further recommended that an annual portfolio balancing strategy should be used. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted

Masters of Science / In 1976 Rozeff and Kinney found that seasonality exists in the monthly rates of return on the New York Stock Exchange with peak periods in January. By making use of this information and the fact that the rates of return lag real activity by one month, Chang en Pinegar (1986) indicated that rates of return unidirectionally predict future growth rates in industrial production for large companies. They also found that the seasonal growth rates in industrial production partially reflect the January seasonals in the rates of return for small companies. This is inconsistent with the efficient market hypothesis. Altough numerous studies in South Africa have been conducted on the efficiency of the Johannesburg Stock Exchange, no one has departed from the viewpoint of seasonality. The aim of this study is to investigate the efficiency of the Johannesburg stock Exchange with respect to seasonality in industrial production. It will be shown that there is no relationship between rates of return and real activity in the majority of sectors. The clothing sector is inefficient in the sense that real activity unidirectionally predicts rates of return three months in advance. At a six months lag period there are strong relationships, in both ways, between rates of return and real activity for this sector, that also implies inefficiency. Lastly it will be indicated that the November peaks on the Johannesburg stock Exchange do not coincide with the January peaks found overseas and that they do not lag real activity by one month. In the international research the attention was mainly focussed on the size of companies and stock price sensitivity to changes in industrial production while in this paper it focusses on different sectors.

We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio strategies. The learning algorithm is used to determine the relative population dynamics of technical trading strategies that can survive historical back-testing as well as form an overall aggregated portfolio trading strategy from the set of underlying trading strategies implemented on daily and intraday Johannesburg Stock Exchange data. The resulting population time-series are investigated using unsupervised learning for dimensionality reduction and visualisation. A key contribution is that the overall aggregated trading strategies are tested for statistical arbitrage using a novel hypothesis test proposed by Jarrow et al. [31] on both daily sampled and intraday time-scales. The (low frequency) daily sampled strategies fail the arbitrage tests after costs, while the (high frequency) intraday sampled strategies are not falsified as statistical arbitrages after costs. The estimates of trading strategy success, cost of trading and slippage are considered along with an offline benchmark portfolio algorithm for performance comparison. In addition, the algorithms generalisation error is analysed by recovering a probability of back-test overfitting estimate using a nonparametric procedure introduced by Bailey et al. [19]. The work aims to explore and better understand the interplay between different technical trading strategies from a data-informed perspective.