Mercantile Law / LL. M. (Corporate Law)

South African company law has provided for the rescue of financially distressed companies since 1926 when the statutory procedure of judicial management was introduced by the Companies Act 46 of 1926. Unfortunately, judicial management has never been regarded as a successful corporate rescue procedure and for most of its existence it has been severely criticised on many grounds. The Companies Act 61 of 1973 that replaced the Companies Act 46 of 1926 did very little to improve this situation and judicial management remained underutilised. As a result, the Companies Act 71 of 2008 now introduces two newly-created corporate rescue procedures in the form of business rescue proceedings and the compromise with creditors. This study analyses judicial management and the new corporate rescue procedures to establish whether the identified weaknesses of judicial management have been adequately and effectively addressed in the new procedures. A comparative study with similar procedures in England and Germany is undertaken to determine whether the South African legislature has delivered on its promise to create a system of corporate rescue that will meet the needs of a modern South African economy. Several weaknesses in the new procedures are identified and a number of recommendations are made to improve the relevant provisions and to assist in providing South African company law with an efficient and acceptable corporate rescue regime. / Mercentile Law / LLD (Mercentile Law)

Thesis (MBA (Business Management))--University of Stellenbosch, 2008. / ENGLISH ABSTRACT: To date, there has been significant research completed on the topic of corporate financial distress. Two pioneering researchers in the field of predicting financial distress was Beaver in 1966 and Altman in 1968. More recent research, based on companies listed on the JSE has been that of Steyn-Bruwer and Hamman (2006). This project, based on the latter authors’ work, has been formulated with one main research objective and two subordinate research objectives. The main research objective is to prove that different modelling techniques provide better prediction accuracies than others. The two subordinate research objectives are firstly to prove that there is a difference in the overall predictive accuracy if the data (provided by Steyn-Bruwer and Hamman) is subdivided according to “year before failure” and not according to economic period and secondly to prove that more optimised, independent variables would provide a better overall predictive accuracy. This research report summarises several significant papers on the topic; and draws the conclusion that research on financial distress is fragmented with very little consensus on any of the major definitions, assumptions and findings. In order to contextualise these differences; this research report defines and discusses corporate financial distress and considers the major issues associated with the field of research. An interesting observation from the literature survey was the fact that existing literature does not readily take consideration of the number of Type I and Type II errors made. As such, this research report introduces a novel concept (not seen in other research) called the “Normalised Cost of Failure” (NCF) which takes cognisance of the fact that a Type I error typically costs 20 to 38 times that of a Type II error. In order to satisfy the main research objective several different modelling techniques were selected based on their popularity in the literature surveyed. They are: Multiple Discriminant Analysis (MDA), Recursive Partitioning (RP), Logit Analysis (LA) and Neural Networks (NN). A summary of each of the different techniques is provided in Chapter 4 of this research report. The research by Steyn-Bruwer and Hamman forms the departure point for this research and their work is summarised in Chapter 5 of this report. Chapters 6, 7 and 8 use the data from Steyn-Bruwer and Hamman along with the above mentioned modelling techniques to verify the main and subordinate objectives. In terms of the main research objective, the results of these chapters show that the different analysis techniques definitely produce different predictive accuracies. Here, the MDA and RP techniques correctly predict the most “failed” companies; and consequently have the lowest NCF. This research report also shows that LA and NN provide the best overall predictive accuracy. In terms of the first subordinate research objective; this research shows that using the year before failure rather than the economic period as a subdivision provides superior predictive accuracy. With regard to the second subordinate research objective: there is no difference in the predictive accuracies if the independent variables are further optimised. These results were disappointing and consequently disprove the second subordinate objective that widening the number of input variables actually improves the predictive accuracy. In fact, the results indicate that the information contained in the independent variables seems to saturate after the most important (key predictor) independent variables have been included in the model. It is important to take cognisance of the fact that each predictive technique has its own strength and weakness. It is proposed by the author that the strengths and weaknesses of these predictive techniques be combined to provide a better overall predictive methodology. / AFRIKAANSE OPSOMMING: Heelwat betekenisvolle navorsing oor die onderwerp van maatskappye se finansiële verknorsing is tot op hede voltooi. Twee baanbreker-navorsers op die gebied van vooruitskatting van finansiële verknorsing was Beaver in 1966 en Altman in 1968. Meer onlangse navorsing, gebaseer op maatskappye wat op die JSE genoteer is, was dié van Steyn-Bruwer en Hamman (2006). Hierdie navorsingsverslag, gebaseer op die voorgenoemde outeurs se werk, is geformuleer met een hoofnavorsingsdoelwit en twee ondergeskikte navorsingsdoelwitte. Die hoofnavorsingsdoelwit is om te bewys dat verskillende modelleringstegnieke beter voorspellingsakkuraatheid as andere het. Die twee ondergeskikte navorsingsdoelwitte is, eerstens, dat daar ʼn verskil is in die oorhoofse voorspellingsakkuraatheid as die data (verskaf deur Steyn-Bruwer en Hamman) onderverdeel word volgens die “jaar voor mislukking” eerder as volgens die ekonomiese tydperk; en tweedens, om te bewys dat meer geoptimiseerde, onafhanklike veranderlikes kan lei tot ʼn beter oorhoofse voorspellingsakkuraatheid. Ten einde hierdie verskille te konseptualiseer, het hierdie navorsingsverslag finansiële mislukkings van maatskappye bespreek en gedefinieer en aandag geskenk aan die belangrikste aspekte geassosieer met die navorsingsveld. ʼn Interessante waarneming uit die literatuurstudie was die feit dat die huidige literatuur selde indien enige, oorweging skenk aan die aantal Tipe I- en Tipe II-foute wat gemaak word. As sulks het hierdie navorsingsprojek ʼn nuwe begrip (nog nie in ander navorsing gesien nie) ontwikkel, wat beskryf word as die “Genormaliseerde Kostefaktor”; wat die feit dat ʼn Tipe I-fout tipies 20 tot 38 maal die koste van ʼn Tipe II-fout beloop, in ag neem. Ten einde te voldoen aan die hoofnavorsingsdoelwit is verskillende modelleringstegnieke wat op grond van hul gewildheid in die literatuur voorgekom het, gekies. Hulle is: Meervoudige Diskriminantanalise (MDA), Herhalende Verdeling (RP), Logit-Analise (LA) en Neurale Netwerke (NN). ʼn Opsomming van elk van hierdie verskillende tegnieke word in Hoofstuk 4 van hierdie navorsingsverslag verskaf. Die navorsing wat deur Steyn-Bruwer en Hamman gedoen is, vorm die vertrekpunt van hierdie navorsing en hulle werk is gevolglik in Hoofstuk 5 van hierdie verslag opgesom. Hoofstukke 6, 7 en 8 gebruik die data van Steyn-Bruwer en Hamman tesame met die bovermelde modelleringstegnieke ten einde die hoof- en ondergeskikte doelwitte te bewys. In terme van die hoofnavorsingsdoelwit, het die resultate van hierdie hoofstukke getoon dat die verskillende analitiese tegnieke definitief verskillende voorspellingsakkuraatheid oplewer. Hier het die MDA- en RP-tegnieke die grootste aantal mislukte maatskappye korrek voorspel, en gevolglik die laagste Genormaliseerde Kostefaktor gehad. Die navorsingsverslag toon ook dat LA en NN die beste oorhoofse akkuraatheid van voorspelling het. In terme van die eerste ondergeskikte navorsingsprobleem het hierdie navorsing getoon dat, om die jaar voor mislukking te gebruik as onderverdeling, eerder as die ekonomiese tydperk, beter voorspellingsakkuraatheid het. Wat die tweede ondergeskikte navorsingsdoelwit betref, is daar bevind dat daar geen verskille in die voorspellingsakkuraatheid bestaan as die individuele veranderlikes verder geoptimaliseer word nie. Hierdie resultate was teleurstellend en het gevolglik die tweede ondergeskikte probleem, naamlik dat as die aantal inset-veranderlikes sou vergroot word, dit die vooruitskattingsakkuraatheid behoort te kan verhoog, verkeerd bewys. Tewens, die resultate het getoon dat die inligting soos vervat in die onafhanklike veranderlikes klaarblyklik versadiging bereik nadat die belangrikste (hoof-vooruitskatter) onafhanklike veranderlikes in die model opgeneem is. Dit is belangrik om kennis te neem van die feit dat elke vooruitskattingstegniek sy eie sterk en swak punte het. Die skrywer stel dus voor dat hierdie sterk- en swakpunte gekombineerd gebruik word om ʼn beter oorhoofse vooruitskattingsmetodologie daar te stel.

Thesis (MBA)--Stellenbosch University, 2012. / ENGLISH ABSTRACT: “The business format, franchising, can be defined as the granting of a license for a predetermined financial return by a franchising company (franchisor) to its franchisees. The grant entitles them to make use of a complete business package, including training, support and the corporate name which include all branding and logos. Through this enabling the franchisees to operate their own businesses to the same standards and format as the other outlets in the franchise chain” (Maree, 2007, p. iii). Franchising has grown in popularity for entrepreneurs and business people to start a business, a professional career and a way of creating employment. It is seen as a proven business system that is sold to a franchisee as “best practices knowledge” by the franchisor (Maree, 2007). Although the “best practices” approach is at the core of franchising very little research was found to exist that investigates the factors that influence the success or failure of franchisees. The lack of formal research in this regard gave rise to the research question as to what the factors are that will contribute to the failure and subsequent liquidation of franchise businesses in the Western Cape. Current franchise owners and entrepreneurs considering to enter into the franchising sphere need to ensure that they not only understand what factors will influence the success of their businesses, but possibly more importantly, they need to comprehend which are the factors that could potentially lead to the failure of the franchise business. Based on the theoretical research and the data gained from the questionnaire analysis, one can conclude that the majority of the factors discussed in this report contribute towards the failure of franchisee businesses in the Western Cape. / AFRIKAANSE OPSOMMING: Die besigheidsvormbekend as ‘n eksklusieweagentskap of konsessie (“franchise”) kanomskryf word as die verlening van ‘n lisensie of reg teen ‘n voorafbepaaldefinansieletariefdeur die konsessiegewer (“franchisor”) aansykonsessiehouers. Hierdie vergunningmaakdie konsessiehouersgeregtig op die gebruik van ‘n volledigebesigheidsmodelwatopleiding, ondersteuning en die maatskappynaam, sowel as allehandelsmerke en logos, insluit. Hierdeur word die konsessiehouers in staatgestelomhuleiebesighedevolgensdieselfdestandaarde en formaat as die anderafsetpunte in die konsessiegroeptebedryf (Maree, 2007) Die verskaffing van eksklusieweverkoopsregaan entrepreneurs en sakemensewathuleiebesighedewil begin, ‘n professioneleloopbaanwilbeoefen en werksgeleenthedewil skep, het in die jongstetyd al gewildergeword. Dit word as ‘n bewesebesigheidskonsepbeskou en word deur die konsessiegeweraan die konsessiehouer as “bestegebruikskennis” verhandel (vertaaluitMaree, 2007).Alhoewel die “bestegebruik”-benadering die kern van ‘n konsessie is, is slegskarigenavorsingmet betrekking tot die faktorewat die sukses of mislukking van konsessiesondersoek, tans beskikbaar. Die gebrekaanformelenavorsing in hierdie verband het aanleidinggegee tot die navorsingsvraagoorwatterfaktorebydraendkanwees tot die mislukking en gevolglikelikwidasie van konsessies in die Wes-Kaap. Huidigekonsessiehouers, asook entrepreneurs watditoorweegom die terrein van eksklusieweagentskappetebetree, moetnie net die faktorewat die sukses van hulbesighedesalbeinvloedverstaannie maar, stellig van groterbelang, die faktorewatmoontlik tot die mislukking van die besigheidkan lei, identifiseer en begryp. Na aanleiding van die teoretiesenavorsingwatgedoen is, asook die inligtingwat van die vraelys-ontledingsbekom is, kan tot die slotsomgekom word dat die meerderheidfaktorewat in hierdie werkstukbespreek is, tot die mislukking van eksklusieweagentskappe in die Wes-Kaap bydra.

South African company law has provided for the rescue of financially distressed companies since 1926 when the statutory procedure of judicial management was introduced by the Companies Act 46 of 1926. Unfortunately, judicial management has never been regarded as a successful corporate rescue procedure and for most of its existence it has been severely criticised on many grounds. The Companies Act 61 of 1973 that replaced the Companies Act 46 of 1926 did very little to improve this situation and judicial management remained underutilised. As a result, the Companies Act 71 of 2008 now introduces two newly-created corporate rescue procedures in the form of business rescue proceedings and the compromise with creditors. This study analyses judicial management and the new corporate rescue procedures to establish whether the identified weaknesses of judicial management have been adequately and effectively addressed in the new procedures. A comparative study with similar procedures in England and Germany is undertaken to determine whether the South African legislature has delivered on its promise to create a system of corporate rescue that will meet the needs of a modern South African economy. Several weaknesses in the new procedures are identified and a number of recommendations are made to improve the relevant provisions and to assist in providing South African company law with an efficient and acceptable corporate rescue regime. / Mercentile Law / LLD (Mercentile Law)

LL.M. (Corporate Law) / Please refer to full text to view abstract.

The prediction of a company's financial health is of critical importance to a variety of stakeholders ranging from auditors, creditors, customers, employees, financial institutions and investors through to management. There has been considerable research in this field, ranging from the univariate dichotomous approach of Beaver (1966) to the multivariate multi-state approaches of Lau (1987) and Ward (1994). All of the South African studies namely, Strebel and Andrews (1977), Daya (1977), De La Rey (1981), Clarke et al (1991) and Court et al (1999), and even, Lukhwareni's (2005) four separate models, were dichotomous in nature providing either a "Healthy" or a "Failed" state; or a "Winner" or "Loser" as in the latter case. Notwithstanding, all of these models would be classified as first stage, initial screening models. This study has focused on following a two stage approach to identifying (first stage) and analysing (second stage) the States of Health in a company. It has not adopted the rigid "Healthy" or "Failed" dichotomous methodology. For the first stage, three-state models were developed classifying a company as Healthy, Intermittent or Distressed. Both three year and five year Profit after Tax (PAT) averages for Real Earnings Growth (REG) calculations were used to determine the superior definition for the Intermittent state; with the latter coming out as superior. Models were developed for the current year (Yn), one (Yn-1), two (Yn-2) and three years (Yn-3) forward using a Test sample of twenty companies and their predictive accuracy determined by using a Holdout sample of twenty-two companies and all their data points or years of information. The statistical methods employed were a Naïve model using the simple Shareholder Value Added (SVA) ratio, CHAID and MDA, with the latter providing very disappointing results - for the Yn year (five year average), the Test sample results were 100%, 95% and 95%, respectively; with the Holdout sample results being 81.3%, 83.8% and 52.5%, respectively. The Yn-1 to Yn-3 models produced very good results for the Test sample but somewhat disappointing Holdout sample results. The best two Yn models namely, the Naïve and the CHAID models, were modified so as to enable a comparison with the notable, dichotomous De La Rey (1981) model. As such, three different approaches were adopted and in all cases, both the modified Naïve (100%, 81.3%, 100%) and the modified CHAID (100%, 85.9%, 98%) produced superior results to the De La Rey model (84.8%, 62.6%, 75.3%). For the second stage, a Financial Risk Analysis Model (FRAM) using ratios in the categories of Growth, Performance Analysis, Investment Analysis and Financial Status were used to provide underlying information or clues, independent of the first stage model, so as to enable the stakeholder to establish a more meaningful picture of the company. This would pave the way for the appropriate strategy and course of action to be followed, to take the company to the next level; whether it be taking the company out of a Distressed State (D) or further improving on its Healthy status (H). / Business Management / D. BL.

Whenever legal disciplines overlap interesting scenarios occur and differences in opinions create intellectual tension. One such interesting scenario occurs when employees’ rights are affected during a company’s liquidation or business rescue. The employees of a company are normally the last persons to find out that a company is struggling financially. They are also the only stakeholders who are in no position to negotiate their risk should the company be liquidated. It is therefore necessary to evaluate the rights given to employees during a company’s liquidation and business rescue. The fundamental ideologies of company law, insolvency law and labour law are challenged and examined to attempt a harmonizing result that respects the core of each discipline. It is crucial to determine whether an appropriate balance is struck between the interests of all the stakeholders of the company during these procedures. The aim of this thesis is to evaluate whether South Africa manages to strike this balance. If employee rights are protected whilst a company is restructured back to solvency and success, this balance will be struck. An evaluation will also be made whether employees are always better protected during business rescue than in liquidation. The study analyses employee rights in a company’s liquidation and during a company’s restructuring process. The comparative study of employee rights in liquidation and rescue is done with the jurisdictions of Australia and England – countries with similar procedures. Important conclusions show that South Africa protects employee rights during business rescue procedures the best. An appropriate balance is indeed struck between the interests of all stakeholders of a company during business rescue procedures and employees are most of the time better off after a restructuring than in a liquidation. Should the recommendations for law reform be implemented in our legislation, South Africa will overcome the few obstacles currently in its way to be seen as a world leader where employee rights are concerned in liquidation proceedings as well as business rescue. / Mercantile Law / LL. D.

The prediction of a company's financial health is of critical importance to a variety of stakeholders ranging from auditors, creditors, customers, employees, financial institutions and investors through to management. There has been considerable research in this field, ranging from the univariate dichotomous approach of Beaver (1966) to the multivariate multi-state approaches of Lau (1987) and Ward (1994). All of the South African studies namely, Strebel and Andrews (1977), Daya (1977), De La Rey (1981), Clarke et al (1991) and Court et al (1999), and even, Lukhwareni's (2005) four separate models, were dichotomous in nature providing either a "Healthy" or a "Failed" state; or a "Winner" or "Loser" as in the latter case. Notwithstanding, all of these models would be classified as first stage, initial screening models. This study has focused on following a two stage approach to identifying (first stage) and analysing (second stage) the States of Health in a company. It has not adopted the rigid "Healthy" or "Failed" dichotomous methodology. For the first stage, three-state models were developed classifying a company as Healthy, Intermittent or Distressed. Both three year and five year Profit after Tax (PAT) averages for Real Earnings Growth (REG) calculations were used to determine the superior definition for the Intermittent state; with the latter coming out as superior. Models were developed for the current year (Yn), one (Yn-1), two (Yn-2) and three years (Yn-3) forward using a Test sample of twenty companies and their predictive accuracy determined by using a Holdout sample of twenty-two companies and all their data points or years of information. The statistical methods employed were a Naïve model using the simple Shareholder Value Added (SVA) ratio, CHAID and MDA, with the latter providing very disappointing results - for the Yn year (five year average), the Test sample results were 100%, 95% and 95%, respectively; with the Holdout sample results being 81.3%, 83.8% and 52.5%, respectively. The Yn-1 to Yn-3 models produced very good results for the Test sample but somewhat disappointing Holdout sample results. The best two Yn models namely, the Naïve and the CHAID models, were modified so as to enable a comparison with the notable, dichotomous De La Rey (1981) model. As such, three different approaches were adopted and in all cases, both the modified Naïve (100%, 81.3%, 100%) and the modified CHAID (100%, 85.9%, 98%) produced superior results to the De La Rey model (84.8%, 62.6%, 75.3%). For the second stage, a Financial Risk Analysis Model (FRAM) using ratios in the categories of Growth, Performance Analysis, Investment Analysis and Financial Status were used to provide underlying information or clues, independent of the first stage model, so as to enable the stakeholder to establish a more meaningful picture of the company. This would pave the way for the appropriate strategy and course of action to be followed, to take the company to the next level; whether it be taking the company out of a Distressed State (D) or further improving on its Healthy status (H). / Business Management / D. BL.