SA has one of the lowest survival rates of small and medium enterprises (hereafter referred to as “SMEs”), in the world (Edmore, December 2011). Therefore, business rescue is critical in developing SA’s economy, as defined in Section 7(b)(i) of the Companies Act, No.71 of 2008 (“the Act”) which reads: “Promote the development of the South African Economy by encouraging entrepreneurship and enterprise efficieny” The literature on business rescue concludes that post commencement finance is critical to the success of business rescue. However, to date, there has been no research performed on actual data collected from practitioners to answer the question of whether post commencement finance is a predictor of a successful business rescue The findings of this study initially contradict the literature insofar as 56% of business rescues received post commencement finance: however, further investigation showed that only 7% of the total companies in this study received third party financial institutional post commencement finance, with the balance being introduced by shareholders. The main finding of this study was that the introduction of post commencement finance is only a partial predictor of a successful business rescue. Thus, in the case of those companies which received finance, under business rescue, only 57% were successful. Another finding of this study is that the combination that provides the best probability of successful business rescue is when equity, in the business rescue company, is made available after the successful adoption of the business rescue plan.

During 2006, AAL adopted and implemented its first share repurchase program, which continued up until its suspension in 2008. While management stated that share repurchases would only be done in the interest of shareholders, the repurchase program was disastrous for shareholder value. Management also stated that share repurchases provide the firm with flexibility regarding its capital structure. We investigated the capital structure of AAL for the years 2004 to 2012 from an optimal capital structure perspective. Using a CAPM approach, we find no evidence that AAL targeted or implemented a capital structure, which could be considered optimal.

Includes bibliographical references / This paper provides an assessment of Africa's first "bad bank", the Asset Management Corporation of Nigeria (AMCON) and its role in resolving non-performing loans (NPLs) in the aftermath of the 2008 financial crisis. It is a case study that primarily investigates the effectiveness of AMCON in addressing the banking crisis in Nigeria based on evidence from different sources ranging from economic indicators to media reports and newspaper interviews. The establishment of AMCON in 2010 helped to resolve the non-performing loans crisis in Nigerian banks, through a transparent removal of toxic assets and by providing the affected banks with a fresh start, while eliciting a minimal moral hazard effect as far as financial institutions were concerned . Other African countries such as Ghana are now considering adopting a similar "bad bank" solution. However, the AMCON solution has been at a considerable cost to the Nigerian taxpayers as AMCON has been running at a huge loss, partly funded by the taxpayer through the government. Data analysed in the study cover the period from 2008 to 2013. The analysis showed that the AMCON solution was successful as the balance - sheet sanitization effort helped to neutralize many of the banking sector 's n on - performing loans, and spurred improvements in the sector's aggregate loan book quality with in its first two years . As at December 2012, AMCON had purchased more than 95% of the banking sector's NPLs, leaving the industry's NPLs at less than 5%. This offered banks a fresh start and the leeway to concentrate on building new and sustainable lending models. This outcome of this study supports prior empirical work which only examined bad banks in developed economies (the US A and Europe) and in the Asia Pacific. It should be noted that the "bad bank" concept is new to Africa and so there is very little empirical work on this topic. This study contributes to the discussion by its exposition on the overall positive trends in Nigeria's banking sector post - crisis and the impressive growth in bank credit , GDP and the equity market after the financial crisis.

SAPPI Limited ("SAPPI") is a company that was established in South Africa in the 1930's and has grown into a global player in the paper and pulp industry, as well as the chemical cellulose industry. Historical financing decisions made in the growth phases of the company's life cycle left it with the need to refinance debt obligations payable in the early 2010's. In order to meet these obligations, four callable bonds with high coupon rates denominated in Euro and US Dollar were issued in 2011 and 2012 below investment grade. This study examines the cost at which these high yield bonds were issued by SAPPI and discusses the potential reasoning behind the decisions made by SAPPI in the process to obtain further financing. Financing solutions within the South African market are discussed with the conclusion that the South African listed high yield corporate bond market was not adequate for SAPPI, given its credit rating being below investment grade and the value of funding required. In addition, SAPPI's exposure to foreign currencies through global operations made the Euro and US Dollar denominated bond issues favourable to the business. To illustrate the cost of the bonds issued in both Euro and US Dollar, the second part of this study consists of an analysis of the option‐adjusted spreads at which these bonds were issued. Our analysis involved taking into account the probability of the call provisions being exercised by SAPPI at the date of issue through a detailed application of the option‐adjusted spread methodology and the use of a recombining binomial lattice. Through a quantitative example of the process followed and a discussion of the spreads determined, we indicate the true cost at which finance was obtained by SAPPI for each bond issued. A brief discussion on the hedging decisions taken by SAPPI management on the issuance of the debt has also been included. Furthermore, the retrospective performance of the foreign exchange hedging decisions made have been assessed through movements in global financial markets from the time hedging decisions were enacted up until 30 September 2015.

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.

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.