A research report submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree of Masters of Commerce (Accountancy / Previous research findings suggest that companies within developed markets which report on environmental, social and governance (ESG) issues attract a long term oriented institutional investor base. Against this background, the purpose of this study was to assess whether this relationship holds true within an emerging market context. Using cross-sectional time series data for 114 Johannesburg Stock Exchange (JSE) listed companies over the period 2012 to 2016, this study investigated whether the integration of ESG factors in investor decision making has resulted in investments being held into the long term by institutional investors and whether this relationship varies between different sectors of the JSE. The results were based on a regression analysis which was performed employing data from the Thomson Reuters ASSET4 platform as a proxy for ESG reporting scores against institutional investor shareholdings. The results did not indicate a statistically meaningful relationship between ESG reporting and the long term oriented institutional investor base even at the industry level. The results did not appear to be consistent with similar studies in developed markets, partly as a consequence of the JSE comprising greater quasi institutional investors as compared to dedicated investors. The results suggest that institutional investor’s commitment to the United Nations Principles for Responsible Investment (UN PRI) and Code for Responsible Investing in South Africa (CRISA) is yet to translate into investments in JSE companies being held long term. These findings motivate for further academic analysis of ESG-long term investor relationship, to policy setters the results call for greater consideration to be given to policy changes or industry guidance in order to ensure that the objectives as set out by the UN PRI and CRISA are achieved. / NG (2020)

The purpose of this study is to investigate the determinants of technical efficiency, using data envelopment analysis and the Tobit regression model, of the six largest listed South African banks for the years 2008-2018. An input-oriented intermediary constant-return-to-scale approach was followed to determine technical efficiency scores. After technical efficiency scores were obtained, a binary data set was created by assigning a score of 1 to all observations that were regarded as technical efficient, whereas all observations that were regarded as technically inefficient were assigned a score of 0. Thereafter, a Tobit regression analysis was performed to test the following hypotheses: skimping hypothesis, diversification hypothesis, bad management hypothesis and the funding hypothesis. The results of the regression analysis show that the skimping, diversification, and bad management hypotheses were not relevant for the six largest South African banks over the period under review. Regression results pointed towards the funding hypothesis being applicable to the six largest listed banks over the review period. It can therefore be suggested that the banks under review were generally well managed with a keen focus on expense control and thorough underwriting. To ensure the efficiency of large listed banks, it is proposed that regulators continue to monitor large banks as evidence of the study suggests that as deposit bases grow, a deterioration in technical efficiency is experienced. Generally, the results of the study indicate that the six large listed banks are overall relatively efficient over the review period.

In this study, the main focus was to investigate the relationship between listing suspensions and corporate governance mechanisms which are related to the board of directors. The study also examined the effectiveness of King III in improving corporate governance on companies listed on the Johannesburg Securities Exchange of South Africa (JSE). The matched pairs research design was utilised where a comparison of 56 suspended companies were selected for the study. The period covered by the study was 2006 to 2017. Control companies were selected to match all the relevant suspended companies. The matching was done in terms of time, industry and size (measured by total assets). The control company should not have been suspended in the year under consideration. With the use of the conditional logistic regression model to analyse the data, the study found that the practice of board performance evaluation significantly reduced the odds of suspension. Another key finding of the study was that the number of directors with shares in the company has a statistically significant negative correlation to the odds of suspension. A comparison of King II and King III regimes indicates a stronger corporate governance era during the King III phase. Board size, the proportion of non-executive directors, and the number of independent directors and board performance evaluations increased significantly during the King III phase. Additionally, the study notices a decrease in the number of JSE listing suspensions during the King III era as compared to King II which implies that King III brought in stronger governance measures to listed companies in South Africa. Corporate governance is a critical focal point in managing corporates, raising capital as well as performing valuations of entities. The governance aspects relating to the actions of directors appear to have a direct correlation in determining whether a company will be suspended or not from the JSE. Findings of the study have contributed to the body of literature in proving the presence of a correlation between corporate failure and the failure of corporate governance structures. The findings in this study have a significant impact on policymakers in South Africa as they continue to strengthen corporate governance.

Money laundering, the financing of terrorism and proliferation financing continue to be serious threats to the stability of the international financial system. The international community therefore has prioritised the fight against these activities. For example, international bodies such as the Financial Action Task Force (FATF) and others have developed standards and recommendations against which countries and organisations are measured in this regard. Against this background, this thesis investigates to what extent Botswana’s legislative framework regarding money laundering, terrorism financing and other illicit financial flows complies with international standards, especially the FATF Recommendations. The study sets the scene by defining and describing money laundering, financing of terrorism and proliferation financing, after which the current statutory framework in Botswana is discussed in detail. After subsequently setting out the various global and regional (specifically African) initiatives in the fight against money laundering and other financial crimes, the current state of affairs in Botswana is benchmarked against both the South African framework as well as the FATF Recommendations. The investigation is limited to a technical assessment (doctrinal analysis) of Botswana law to determine the current compliance (or lack thereof) of the country’s statutory provisions and to make recommendations regarding how the framework can be improved. It is difficult for some countries, especially African countries like Botswana, to comply fully with the FATF Recommendations, since compliance can be expensive and dependent on high levels of expertise on the part of the relevant authorities. Therefore, such more vulnerable countries tend to face a higher risk of being used as conduits for money laundering and related activities. Despite these and other challenges, Botswana has gone to great lengths to re-assess and improve its anti-money laundering and combating the financing of terrorism (AML/CFT) legislation with a view to move towards full compliance with the FATF Recommendations. Nevertheless, the evaluation indicates that there are some remaining shortcomings in Botswana’s legislation. Consequently, the thesis concludes by proffering certain recommendations towards ensuring that Botswana’s AML/CFT legislation is rendered fully compliant with the FATF Recommendations. / Thesis (LLD)--University of Pretoria, 2021. / Mercantile Law / LLD / Unrestricted

Includes bibliographical references / This study examines a multifactor model of the Johannesburg Stock Exchange (JSE) framed within the Arbitrage Pricing Theory (APT). The APT has been set up such that it can be able to separate the beta for the precious metal factor within the model. The process goes via the investigation of macrovariables (with precious metals used as one of the macrovariables) and their effect on market (JSE) returns. A complete analysis and modeling of this relationship is likely to yield unparalleled rewards and cost-effective risk management, monitoring and mitigation. Using monthly data for the period 31/07/2002 to 30/04/2013 the dissertation focuse d on using a market (JSE) representative index as a basis for creating a wholly functioning APT model. This included creating a more liquid representative of the JSE All Share Index (A LSI) by using the top 100 stocks by market capitalization. Principal Components Analysis (PCA) was applied to the variables to ascertain a proper model for the JSE return structure. However, in the end an appropriate econometric structure in the form of Autoregressive Conditional Heteroscedastic (ARCH) and Generalized Autoregressive Conditional Heteroscedastic (GARCH) models was used and applied to test and create the APT model to address the objective. The other purpose of this dissertation was to separate beta attributable to the precious metal macrovariable within the model. This is based on the establishment of the JSE in the late 1880s being primarily due to the discovery of precious metals in the former Transvaal (North West) and Pretoria, Witwatersrand and Vereeniging (PWV) region now Gauteng. This is to ascertain whether these metals still have as much influence on the JSE as they did for over half a century. The results show that macroeconomic variables do influence the return generating process of the JSE, explaining almost 80% of variation in returns. The results show that the ALSI is characterized by a seven factor APT with, industrial production, money supply, SA consumer price index, ZARUSD exchange rate, crude oil, MSCI ACWI and precious metals statistically significant.

The maintenance of asset quality, efficiency and profitability is a vital requirement for the survival and development of banks. Loans are the main asset class from which banks generate their major portion of income and also signify the greatest risk to banks. There has been significant indication that the financial crises in the USA, Sub-Saharan Africa and East Asia were signalled by high levels of non-performing loans (NPLs). Due to the detrimental effect that these loans have on a bank's revenue and the economic welfare of a country, it is essential to examine and investigate the determinants of NPLs in the banking industry of any country. This study examines Botswana, a developing country in Southern-Africa and is stimulated by the assumption that both the industry level variables and macroeconomic variables have an effect on NPLs. Secondary data of the banking sector was obtained from Botswana's central bank, the Bank of Botswana. Correlation and regression analysis were carried out over a period of ten years (2005-2014), using quarterly data. It was found that the following industry level variables (i.e. credit growth, industry size and profitability) and macroeconomic variables (i.e. real gross domestic product (GDP) growth, inflation, real interest rates and the unemployment rate) have a statistically significant impact on the NPL rate. On the other hand, capitalization and diversification had a statistically insignificant relationship with NPLs. The banking industry in Botswana should carefully monitor the household loan portfolio as well as their credit advancement policies with regard to the aforementioned variables to help lower their NPL ratios. This study is the first of its kind in the Botswana banking industry and therefore will provide scholars with the opportunity to enrich their knowledge and serve as a reference for other researchers in the related area while also providing a foundation for further studies.

The ability of active managers to produce consistent benchmark-beating returns is a topic that has been widely debated with increasing interest over the past decade. The majority of previous studies in which persistence of performance is tested consider a fund's ability to maintain its relative ranking over various time periods amongst its peer group. This study adds to the literature by considering the persistence of alpha, where alpha is defined as the out- or under-performance of a market-related benchmark. Persistence of alpha for South African general equity unit trusts is tested over six-month, one-, two- and three-year formation and holding periods using a similar methodology to that of Collinet & Firer (2003). Alpha is found to persist most prominently in tests of one-year periods, with other period lengths yielding less significant results. Additionally, using the methodology of Malkiel (1995), certain funds which have demonstrated statistically significant persistent alpha over various periods are identified.

The financial crises of 2008 increased the focus around financial distress and even more so on predicting financially distressed companies prior to the fact. This research paper investigates using recursive partitioning to predict financially distressed companies on the Johannesburg Stock Exchange, taking different business cycle periods into account over the time period 1997-2014. The updated as well as longer time period over which the analysis is conducted distinguishes this research paper from prior research. This paper employs both the CART and CHAID algorithm and obtains financially distressed prediction models which have a higher correct classification rate than chance alone and prior literature in South Africa. This paper also makes use of a matched data sample approach and the manner in which missing data is addressed makes a valuable contribution to financial distress prediction research. Furthermore, support is found for prior literature in that financial variables are statistically significant in predicting financial distress.

This study investigates the effect that announcements of rights issues have on abnormal share price returns on the JSE over the period January 2009 to December 2014. This study will focus specifically on the equity element of the capital structure and the issuing of new equity in the form of rights issues. There have been a few studies done in this regard in the South African context but the prior papers have been conducted over significantly different time periods and data samples and there is therefore merit in combining all four approaches into a single study focused on one consistent data sample. Secondly, this study also investigates the impact the motivation for the rights issue as provided by the issuer, has on the share price returns of the issuers. Thirdly, this study investigates the effect of the "financial health" of the rights issuer, as measured in terms of the Altman Z-score, has on the abnormal returns of the share prices of the issuers. The final area of investigation is to test the ability of rights issuers on the JSE to time the market when performing rights issues.

This paper examines the nature and significance of market betas on the Johannesburg Stock Exchange (JSE). The identity of market betas is determined by means of Principal Component Analysis (PCA) performed on the returns of the FTSE/JSE Africa Index Series. A scree test shows two factors necessary for inclusion in the appropriate Arbitrage Pricing Theory (APT) model. Based on the promax rotated factor loadings, it is argued that the Financials (J580) and Basic Materials (J510) indices ought be used as the appropriate observable index proxies for the first and second factors respectively. Regarding the estimation of beta, this paper makes the case for the use of Reduced Major Axis (RMA) regression over the traditional Ordinary Least Squares (OLS) approach. A number of characteristics are assessed when arriving at this conclusion. Importantly, it is shown that the traditional OLS regression method chronically underestimates the magnitude of the beta parameter whereas RMA regression does not. In addition, it is shown that, while OLS beta values are more stable in absolute terms than RMA beta values, the RMA values are more stable when adjusted for their magnitude. This paper does not make use of a thin trading filter to narrow the sample of stocks for empirical evaluation. Instead, an examination is made of the significance of beta values at the point at which they are estimated. This is accomplished by means of a rolling window of regressions. It is shown that, while most stocks do exhibit betas which are consistently significant over their listing period, many stocks do not. Some stock returns result in almost no significant beta values while some others exhibit beta values which are significant for only a portion of their listing period. It is shown that a median beta p-value value of 5% is an appropriate 'significance filter' for limiting the sample of stocks to only those significant for the majority of their listing period. Using only these stocks, an empirical evaluation of beta is conducted using portfolios sorted on both OLS and RMA beta values. It is found that neither beta measure explains the cross-section of returns in the case of resource stocks. However, in the case of non-resource stocks the results show a clear divergence between the methods. In the case of OLS sorted portfolios, the results show a negative relationship between beta and returns. This surprising and counterintuitive result has also been arrived at by other researchers and is the opposite of what the APT would predict. However, in the case of RMA sorted portfolios, this pattern reverses itself, showing a positive relationship between beta and returns. For some holding periods, this is shown to be significant, providing evidence in support of the APT. As a result it is demonstrated that OLS regression not only underestimates the magnitude of beta, but that it distorts the results of empirical tests. On this basis it is argued that RMA regression ought replace OLS regression as the preferred method of beta estimation for the JSE.