Background: Sustainable development is the buzzword of the decade, yet developing countries struggle to comply with environmental guidelines. A study was done to determine the possibility of financial gain by means of share price prosperity as a result of compliance with environmental accounting principles. Objective: To investigate the relationship between the commitment to environmental accounting principles and the share price of Main Board listed companies on the Johannesburg Stock Exchange. Design: A quantitative, cross-sectional design with descriptive, explanatory and contextual elements was undertaken. Setting and Sample: An all-inclusive sample of the announcements of the Main Board listed companies of the Johannesburg Stock Exchange between 1 June 2008 and 1 June 2013 was used, as well as a stratified random sample of 32 companies – 16 as listed on the SRI Index and 16 not. Measurements: Data related to compliance with environmental accounting principles were correlated with share price fluctuations of Main Board listed companies. T-tests were done to determine whether a correlation exists between compliance with environmental accounting principles and fluctuations in share price. Results: 56 instances of upward trends and 80 instances of downward trends after one month followed announcements that included compliance to environmental accounting principles (one constant and one unknown). 52 instances of upward trends and 54 instances of downward trends after one year followed these announcements (30 unknown). 48 out of 336 listed companies (14%) announce environmental accounting principle compliance with their shareholders. More announcements referring to environmental accounting compliance were posted in 2012 and 2013 (n = 17 and n = 22 averaged for six months) compared to those in 2008 to 2011 (n = 9; n = 15; n = 14 and n = 15 averaged for six months). 56% of companies complying with environmental accounting principles are from the mining industry. 39.19% of principles complied with was within the diverse principle division. P-values derived from t-tests done to investigate correlations between share price and compliance with environmental accounting principles on various levels all revealed P-values of more than 0.25. Conclusions: No statistically significant correlation could be made between compliance with environmental accounting principles and fluctuations in share price. There is low divulgence of compliance practices to shareholders from mentioned companies. An upward trend for compliance with environmental accounting principles is noted during the past five years. The mining industry showed the greatest compliance with these principles when judged according to divulgence of compliance by means of announcements to their shareholders as well as when judged according to stance on the SRI Index. / MBA, North-West University, Potchefstroom Campus, 2014

Asset pricing models have been of interest since their origin in modern finance. The Capital Asset Pricing Model is a widely used tool and is one of the early developed asset pricing models in modern finance. There are continual improvements of this model with the evident multifactor models of Fama and French (2015), Carhart (1997) and the South African two – factor arbitrage pricing models of Van Rensburg (2002) and Laird-Smith et al. (2016). This research empirically investigates the performance of eight-different multi-factor asset pricing models in describing average portfolio returns in the South African Johannesburg Stock Exchange. We find that the Carhart (1997) four factor model comprising of the market factor, size factor, value factor and the momentum factor is the most parsimonious model and thus better explains the average portfolio returns in the South African JSE. This model is an improvement of the Fama and French (1992) three factor model. Additionally, we investigate the performance of the two factor Asset Pricing Theory (APT) model of Laird-Smith et al. (2016) and Van Rensburg (2002) that consists of the South African Financial Index (SAFI) and the South African Resources Index (SARI). We observe that the model performs better than the traditional CAPM that is widely used in industry. Adding the SAFI and the SARI to the six-factor model results in an eight-factor model that has a significant improvement in explaining average returns. The results indicate that the market factor, the South African Financial Index and the South African Resources Index (SARI) poorly explain each other but their linear combination improves the eight-factor asset pricing model in explaining average portfolio returns in the South African market. The eight – factor model comprises of the market, size, value, investment, profitability, momentum factors and the two South African indices namely, the South African Financials Index (SAFI) and the South African Resources Index (SARI).

This study has been prompted by the recent introduction of the JSE Alternative Exchange in South Africa, an alternative listing platform for smaller companies compared to the more established JSE Main Board Exchange. This new era has led to information asymmetry among current and prospective investors regarding the risk-return profile of the companies listed on the relatively new JSE Alternative Exchange and how this profile relates to the profile of firms listed on the long established JSE Main Board Exchange. In an attempt to fill the above information gap, this study sheds light on the short, medium and long-term performances of initial public offerings of companies listed on the JSE Alternative Exchange vis-a-vis that of JSE Main Board Exchange. This information is relevant for investment and financing decision making, principally for investors, venture capitalists and entrepreneurs. The findings of this research appear to be contrary to expectations and to corporate finance theory. The results indicate that on average, initial public offerings by larger JSE Main Board companies outperform the smaller JSE Alternative Exchange companies on a nominal and risk-adjusted bases in the short-medium and long-term. It must be noted however that the differences in performance are not statistically significant. On the other hand, in line with documented evidence in the literature, it was found that the risk of returns on the smaller capitalisation JSE Alternative Exchange companies was indeed higher than that of the JSE Main Board companies. A similarity identified between the average performances of the two listing platforms is that, the returns for companies decreased overtime between the short and long-term. This may be partly due to the impact of the 2007 economic recession.

M.Com. (Business Management) / The capital structure of a company depends on the degree of debt used. Companies use debt to trade of tax shields and financial distress costs. At the margin where these equate, the optimal capital structure is reached. This optimal capital structure has been determined for each size of market capitalisation on the Johannesburg Securities Exchange. The capital structure theories of the static trade-off theory, pecking order and signalling model theory are highlighted in relation to company determinants such as size, asset structure, profitability and growth opportunities. A sample of 35 companies was used for each market capitalization for the period 2003 to 2009. The researcher uses a bar graph to display the average price to book value (P/BV) in sequential intervals for each degree of leverage in order to determine the optimal capital structure. The research shows that the optimum leverage for small market capitalisations was reached with a DIE ratio of 0.75-1 and for medium and large market capitalisations between 1.01-1.25.

Magister Commercii - MCom / A distinctive phenomenon on the JSE Securities Exchange (JSE) is the market segmentation between the resource sector and the financial and industrial sectors. Criticisms also arise from employing a capitalization-weighted (cap-weighted) index such as the ALSI index when the market is less than perfectly efficient. A study conducted by Vardharah and Fabozzi (2007) also suggests that a correlation exists between sector allocation decisions and the investment styles inherent in portfolios. The uniqueness of the South African stock market is that it is dominated by three major sectors, namely, the financial sector, the industrial sector and the resources sector. The goal of this research is to examine the application of sector influences on the JSE over the examination period 1 January 2003 to 31 December 2013. It is the contention that the cap-weighted ALSI index is price-sensitive and potentially mean-variance inefficient. The study therefore attempts to evaluate the relative meanvariance efficiency of alternative sector allocation strategies versus the cap-weighted ALSI as the optimal risky portfolio on the JSE. Two optimal long-only portfolios that maximises the Sharpe ratio are constructed and compared to the market proxy on the JSE over the examination period from 1 January 2003 to 31 December 2013. A longonly portfolio that comprises the JSE tradable sector indices and includes a cash allocation (risk-free proxy) and a long-only portfolio exclusive of the cash allocation are constructed. The research extends to cross-examine the inter-relationship between sector returns and the investment styles on the JSE using the Carhart (1997) four-factor model. The research further reexamines and updates the market segmentation phenomenon over the extended examination period from 1 January 2003 to 31 December 2013. The practicality of two sector-based multifactor APT models are examined and compared to the single-factor CAPM to determine which of the asset pricing models better explain JSE equity returns. A sector-based two-factor APT model proposed by Van Rensburg (2002) using the JSE sector indices FNDI and RESI as the sector proxies is reexamined and a sector-based three-factor APT model using the JSE tradable sector indices FINI, INDI and RESI as the sector proxies is explored. The optimal long-only portfolio with the cash allocation is found to offer the best meanvariance efficient allocation and the ALSI index represents the most mean-variance inefficient portfolio. The resource sector is found to be the worst performing sector and significantly influences the performance of ALSI. In terms of the style risk influences, the financial sector has a strong value bias and the industrial sector has a moderate value bias, small cap bias and a momentum bias. The resource sector, for the most part, is influenced by growth stocks and has a contrarian tilt. It is also found that the market segmentation phenomenon continues to exist on the JSE. Although the explanatory power of the three-factor APT model and the two-factor APT model is similar, the distinct advantage of the three-factor APT model is that systematic risks could be observed more closely by separating FINI and INDI in the asset pricing model.

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

The study investigates the relationship between the Johannesburg Stock Exchange Listing Status and performance of selected South African private Hospital Operators covering a 10- year period from 2008-2017. The selected proxies for the hospital performance measured were: Total Annual Revenue, Revenue per Bed per Day, Total Number of Hospital Beds, and EBITDA margin while controlling for Healthcare Inflation and Medically Insured Population, respectively. The specified regression equation was expanded to include simultaneous equations for the proxies of hospital performance. From this system of simultaneous equations, the study estimated the panel regression model using Seemingly Unrelated Regression (SUR). The findings showed that (1) JSE-listed Hospital Operators command higher Total Annual Revenues generated, superior Hospital Bed Numbers, and higher Revenue per Bed per Day compared to their unlisted peers, but their operating efficiency is not superior to that of their unlisted peers. In addition, the study found (2) a positive and statistically significant relationship between JSE Listing Status and Private Hospital Operator Performance for the performance proxies of Total Annual Revenue, Revenue per Bed per Day and Total Number of Hospital Beds, but a positive statistically insignificant relationship in respect of EBIDTA margin, the operating efficiency measure of performance; (3) a positive statistically significant relationship between Medically Insured Population and Private Hospital Operator Performance for the performance proxies of Total Annual Revenue, Revenue per Bed per Day, Total Number of Hospital Beds, but a positive statistically insignificant relationship in respect of the operating efficiency measure of performance; (4) a negative statistically insignificant relationship between Healthcare Inflation and Private Hospital Operator Performance for the performance proxies of Total Annual Revenue, Revenue per Bed per Day, Total Number of Hospital Beds, but a positive also statistically insignificant relationship in respect of the operating efficiency measure of performance. These results corroborate the theoretical predictions and are supported by previous studies. The study has important implications for public bourse listing as a strategic organisational consideration in terms of funding mobilisation for corporate performance and growth strategy. The sizeable macroeconomic contribution of the private hospital sector, and the importance of the medical insurance-private hospital performance nexus, behoves policy makers to ensure that the proposed universal health fund in South Africa must not totally crowd out the development of private health insurance.

Magister Commercii - MCom / Motivated by the number of firms that migrate from the Alternative Exchange (AltX) to the JSE main board, this research undertakes to examine the role and the functions of the AltX and its contribution to the development of the small and medium-sized enterprises (SMMEs) in South Africa over the period from January 2004 to December 2015. This study seeks to explore the performance of the firms that have migrated from the AltX to the JSE main board, as well as the attributes that contribute to a successful migration. The study emerges by computing risk, return, risk-adjusted performance and liquidity statistics of the firms that migrated from the AltX to the JSE main board over the period of the research since their respective listings on the AltX. In the preliminary tests conducted in this study, the excess returns of the sample firms were regressed against the market risk premium using ALSI as the market proxy. It is discovered that the beta coefficients estimated by the regressions are statistically insignificant. This indicates that the firms listed on the AltX have insignificant correlation with the firms listed on the JSE main board. Therefore, the ALSI could not be used as a performance benchmark for the sample firms in this research. Subsequently, the research evaluates the market response before and after the announcement date and the actual migration date of the firms that have migrated from the AltX to the JSE main board. The reasons why this research investigates the impact of announcement and actual migration separately is due to the observation that the period between announcement date and migration date is usually more than a month and investors might have different reactions towards these two mentioned events. Moreover, this is the first research that has investigated the impact corporate reaction on both migration announcement date and the actual migration date of the firms from the AltX to the JSE main board. The results reveal that there are significant average abnormal returns and average abnormal turnovers reaction around migration announcement date/actual migration date. The findings suggest that both the migration announcement and actual migration of the firms from the AltX to the JSE main board have produced significant abnormal returns. Moreover, the research evaluates the performance of the firms that have migrated from the AltX to the JSE main board against their comparable peers. The performance evaluation is conducted in two folds. Firstly, the evaluation is conducted in order to assess the financial position of the AltX sample firms before their migration to the JSE main board. Secondly, the post migration performance evaluation is conducted in order to classify each of the sample firms either as a success or as a failure after their migration to the JSE main board. The results reveals that, out of 20 sample firms only 13 firms have been categorised as successful post their migration from the AltX to the JSE main board, while the remaining 7 firms are categorised as unsuccessful post migration. Finally, this research investigates the attributes that differentiate the AltX firms that are likely to be successful and those that are unlikely to be successful after their migration to the JSE main board. To achieve this, Multivariate Discriminant Analysis (MDA) model developed by Altman (1968) is employed. The results reveals that, the model is able to classify 90% of the original cases and 85% of the cross-validated cases perfectly. Moreover, the model has identified net profit margin, current ratio and return on capital invested as the most important financial ratios in distinguishing the successful firms from unsuccessful firms post migration from the AltX to the JSE main board. / 2021-04-30

Thesis (MBA (Business Management))--University of Stellenbosch, 2009. / ENGLISH ABSTRACT: The research report investigated scrip dividends declared by companies on the Johannesburg Stock Exchange (JSE). Scrip dividends started becoming popular in 1993, due to the introduction of the secondary tax on companies (STC). The purpose of the study was to calculate the total amount of money not paid out as dividends, but retained within the company as cash. No single source could be found which provided sufficient dividend information. Eventually the JSE Monthly Bulletin, Reuters, McGregor BFA and the Hamman financial dataset had to be combined to collect a single set of scrip dividends. Changes in the number of shares issued were used as a way to calculate scrip dividends that were not available, or to crosscheck with the Hamman dataset. All along the way various validations were performed to ensure data consistency. For example, the percentage of shares for which scrip dividends were paid out was checked to ensure that the calculated amount of scrip shares issued were within acceptable boundaries. Furthermore, the equivalent scrip option value on the last date to register (LOR) was compared to the cash dividend option to ensure that the values were of equivalent sizes. In total, 754 scrip dividends were included in the report. For these dividends, R33 265 million was not paid out as cash dividends, but retained within the company. The equivalent share value of those shares on the LOR is R35 337 million. Only R19 576 million was paid as cash. This means that 63% of the total dividend payout was reinvested in the companies. Analysis of the LOR dates shows that 1995 to 1997 were the most popular years for scrip, with more than 130 cases every year. From 1994 to 2000, there were more than 40 scrip dividends every year. Not much has been written in South Africa about the impact and usage of scrip dividends. The research report has for the first time created a consolidated datasheet containing scrip dividend details, allowing further research. The R33 265 million reinvested in the economy has perhaps helped fuel the successful growth of the South African economy over the last 10 years. / AFRIKAANSE OPSOMMING: Die navorsingsverslag ondersoek skripdividende wat verklaar is deur maatskappye op die Johannesburgse Effektebeurs (JSE). Skripdividende het gewild begin raak in 1993 as gevolg van die bekendstelling van sekondêre belasting op maatskappye (STC). Die doel was om die totale kontantbedrag te bereken wat behou is in die maatskappy, en dus nie uitbetaal is as dividende nie. Geen enkele bron kon gevind word wat volledige inligting oor skripdividende bevat het nie. Uiteindelik is die JSE Monthly Bulletin, Reuters, McGregor BFA en die Hamman finansiele datastel gekombineer in 'n enkele versameling van skrip dividende. Veranderinge in the totale hoeveelheid uitgereikte aandele is gebruik as 'n manier om die skrip aandele wat uitgereik is te bereken, en te korrelleer met die Hamman datastel. Gedurende die dataversamelingsproses is daar verskeie toetsdatapunte bereken, om die data integriteit te verseker. Byvoorbeeld, die persentasie aandele waarvoor skrip uitgereik is, is geverifieer om seker te maak dat die berekende hoeveelheid skrip aandele binne geldige grense was. Verder is die kontantwaarde van die skrip aandeel, soos op die laaste dag van registrasie (LOR), vergelyk met die kontant dividendopsie, om te verifieer dat die waardes van soortgelyke groottes was. In totaal is daar 754 skripdividende ingesluit in die verslag. Vir hierdie dividende is R33 265 miljoen nie uitbetaal as kontant dividende nie, maar as skrip aandele. Die ekwivalente aandeelwaardes van hierdie uitgereikte aandele op die LOR was R35 337 miljoen. Slegs R19 576 miljoen is uitbetaal as kontant. Dit beteken dat 63% van die totale dividenduitbetaling herbelê is in die maatskappye as skrip-aandele. Analise van die dividend LDR datums wys dat 1995 tot 1997 die gewildste jare was vir skrip, met meer as 130 gevalle per jaar. Van 1994 tot 2000 is daar elke jaar meer as 40 skripdividende uitgereik. Daar is nog nie veel oor die impak en gebruik van skripdividende in Suid-Afrika geskryf nie. Die navorsingsverslag het vir die eerste keer 'n gekonsolideerde skripdividend datastel geskep waarmee verdere navorsing gedoen kan word. Die R33 265 miljoen wat herbelê is in die ekonomie het moontlik bygedra tot die ongekende groei in die Suid-Afrikaanse ekonomie oor die laaste 10 jaar.

Thesis (M.M. (Finance & Investment))--University of the Witwatersrand, Faculty of Commerce, Law and Management, Graduate School of Business Administration, 2013. / This study examines potential benefits of investing in various gold investment vehicles in terms of risk and return from a typical South African investor’s perspective. Furthermore, the study examines the relationship between gold price and South African macroeconomic variables. Data used in the study comprises of monthly closing share price data of JSE listed gold mining companies, gold price, Krugerrand coin, NewGold ETF, FTSE/JSE all share index, gold mining index, unit trust index (gold & precious metals), real GDP, rand/dollar exchange rate, repo rate and CPI. It was found that gold bullion produced superior abnormal returns and yielded greater capital growth compared to the JSE all share index. However, the JSE all share index exhibit lower volatility compared to gold bullion. Abnormal returns for JSE listed gold mining companies tend to differ substantially from gold bullion abnormal returns. Gold mining companies exhibit added risk which cannot be attributed to the gold bullion. Gold has a potential to reduce systematic risk when added to a portfolio of stocks. A multiple regression model was estimated which relates gold price to South African macroeconomic variables. It was found that gold price depends on real GDP and rand/dollar exchange rate.