Abstracts in English, Afrikaans and Sesotho / As one of the renowned anomalies in modern investment theory, the low idiosyncratic volatility anomaly may be the most bewildering and captivating of them all. The anomaly defies the traditional asset pricing theories of modern portfolio theory, which state the fundamental principle that high-risk portfolios are compensated for with higher expected returns. This study determined if the low idiosyncratic volatility premium is present on the cross-section of share returns of the JSE. 12-, 36- and 60-month volatility estimation periods were used in this study to determine if this has any significant effect on share returns. A relevant 26-year sample period from January 1994 to December 2019 was employed. In examining the CAPM OLS regression results utilising the 60-month idiosyncratic volatility estimation period, statistically significant evidence was found to support the alternative hypothesis of a low idiosyncratic volatility anomaly on the cross-sectional returns on the JSE. These findings are supported by a statistically significant alpha for five of the six portfolios examined and clearly indicate the superior performance of the low volatility portfolio in contrast to the high idiosyncratic volatility portfolios. These findings of the 60-month CAPM regression analysis provide clear evidence of a low idiosyncratic volatility anomaly and reject the null hypothesis that there is no statistically significant evidence in favour of a low idiosyncratic volatility anomaly on the cross-section of share returns on the JSE after estimating volatility utilising a 60-month volatility estimation period. / As een van die bekendste anomalieë in moderne beleggingsteorie, is die lae idiosinkratiese gestadigheidsanomalie moontlik die mees verbysterende en boeiende anomalie van almal. Hierdie besondere anomalie bied ʼn uitdaging aan die tradisionele bateprysingsteorie van moderne portefeuljeteorie, die grondbeginsel waarvolgens daar vir hoërisiko-portefeuljes vergoed word deur hoër verwagte opbrengste. Die doel van hierdie studie is om te bepaal of die lae idiosinkratiese gestadigheidspremie aanwesig is by die deursnee-aandeleopbrengste op die JSE. In hierdie studie, is gestadigheidsramingstydperke van 12, 36 en 60 maande gebruik om te bepaal of dit enige beduidende uitwerking op aandeleopbrengste het. ʼn Relevante steekproeftydperk van 26 jaar van Januarie 1994 tot Desember 2019 is gebruik. Deur ondersoek van regressieresultate van die kapitaalbateprysingsmodel (KBPM) kleinste-kwadratemetode aan die hand van ʼn idiosinkratiese gestadigheidsramingstydperk van 60 maande is statisties-beduidende bewyse gevind om die alternatiewe hipotese van ʼn lae idiosinkratiese gestadigheidsanomalie in die deursnee-opbrengste op die JSE te ondersteun. Hierdie bevindings word ondersteun deur ʼn statisties-beduidende alfa vir vyf van die ses portefeuljes wat ondersoek is en dit dui duidelik op die superieure prestasie van die laegestadigheidsportefeulje in kontras met die hoë idiosinkratiese gestadigheidsportefeuljes. Die bevindings van die KBPM-regressie-analise van 60 maande voorsien duidelike bewyse van ʼn lae idiosinkratiese gestadigheidsanomalie en verwerp die nulhipotese dat daar nie statisties-beduidende bewyse is ten gunste van ʼn lae idiosinkratiese gestadigheidsanomalie in die deursnee-aandeleopbrengste op die JSE nie nadat gestadigheid geraam is aan die hand van ʼn gestadigheidsramingstydperk van 60 maande. / E le e nngwe ya diphoso tse tummeng kgopolong ya sejwale-jwale ya matsete, bothata bo tlase ba ho hloka botsitso e ka ba ntho e makatsang le e hohelang ka ho fetisisa. Phoso e ikgethileng ha e latele dikgopolo tsa ditheko tsa thekiso ya thepa ya sejwale-jwale, e hlalosang molao-theo wa hore dipotefoliyo tse kotsing e kgolo di lefellwa bakeng sa dikgutliso tse phahameng tse lebelletsweng. Phuputso ena e ne e ikemiseditse ho fumana hore na tefo e tlase ya botsitso e teng dikarolong tse sa tshwaneng tsa dikgutliso tsa dikabelo ho JSE. Phuputsong ena ho sebedisitswe dinako tsa tekanyetso ya ho hloka botsitso ya dikgwedi tse 12, 36 le tse 60 ho fumana hore na sena se na le phello e kgolo ho dikgutliso tsa dikabelo. Nako ya sampole e loketseng ya dilemo tse 26 ho tloha ka Pherekgong 1994 ho isa ho Tshitwe 2019 e ile ya sebediswa. Ha ho hlahlojwa sephetho sa tekanyo ya CAPM OLS ho sebediswa nako ya dikgakanyo tsa ho hloka botsitso ha dikgwedi tse 60, ho fumanwe bopaki ba bohlokwa ho tshehetsa mohopolo o mong wa phokotso dikgutlisong tsa dikarolo tse fapaneng ho JSE. Diphumano tsena di tsheheditswe ke qaleho ya dipalo bakeng sa dipotefoliyo tse hlano ho tse tsheletseng tse hlahlobilweng mme di bontsha tshebetso e phahameng ya potefolio e tlase ya ho hloka botsitso ho fapana le dipotefoliyo tse phahameng tsa ho hloka botsitso. Diphumano tsena tsa tlhahlobo ya tekanyo ya CAPM ya dikgwedi tse 60 di fana ka bopaki bo hlakileng ba phokotso e sa tlwaelehang ya ho hloka botsitso le ho hanyetsa kgopolo-taba ya hore ha ho na bopaki ba dipalo-palo bo tshehetsang boemo bo tlase ba ho hloka botsitso bo sa tlwaelehang dikarolong tse sa tshwaneng tsa dikabelo ho JSE kamora ho lekanyetsa ho hloka botsitso ho sebedisang nako ya dikgakanyo tsa ho hloka botsitso ya dikgwedi tse 60. / Business Management / M. Com. (Business Management)

Abstract in English, Afrikaans and Sepedi / The auditing profession is facing criticism for audit firms being associated with clients with a poor ‘tone at the top’ despite auditors being required to assess a company’s ‘tone at the top’, both prior to and during an audit. A problem arises if, should auditors perform an inappropriate ‘tone at the top’ assessment, they may be associated with an unethical company. Moreover, such an inappropriate assessment may result in an incorrect risk of material misstatement assessment and, consequently, an inappropriate audit opinion on the financial statements of the company. A qualitative research approach and a multiple case study design were used to understand how auditors assess a company’s ‘tone at the top’. An audit partner from six JSE-accredited audit firms and senior inspectors from the IRBA were interviewed. It was found that the participating auditors assess a company’s ethical leadership, ethical culture, the governance role of the audit committee and compliance with laws and regulations when assessing a company’s ‘tone at the top’ while adhering to quality control principles. Despite the participants acknowledging both that ‘tone at the top’ assessments are conducted during the pre-engagement and planning of an audit and that the audit engagement partner is responsible for these assessments, there was a lack of evidence in the audit files supporting these assessments. The study findings may enable audit firms to include guidance in their audit methodologies on ‘tone at the top’ assessments and in documenting such assessments and may also assist the IRBA in providing guidance and training to auditors on ‘tone at the top’ assessments. / Die ouditprofessie staar kritiek in die oë as gevolg van die feit dat ouditfirmas geassosieer word met kliënte met 'n swak “karakter aan die hoof”, ten spyte daarvan dat van ouditeurs vereis word om 'n maatskappy se “karakter aan die hoof” voor en tydens 'n oudit te assesseer. Die probleem is dat indien ouditeurs 'n onvanpaste assessering van die “karakter aan die hoof” uitvoer, hulle met 'n onetiese maatskappy geassosieer kan word. Boonop kan so 'n onvanpaste assessering aanleiding gee tot 'n verkeerde assessering van die risiko van wesenlike wanvoorstelling en, gevolglik, 'n onvanpaste ouditmening oor die finansiële state van die maatskappy. 'n Kwalitatiewe navorsingsbenadering en 'n veelvoudige gevallestudie-ontwerp is gebruik om te verstaan hoe ouditeurs 'n maatskappy se “karakter aan die hoof” assesseer. Onderhoude is met ouditvennote van ses ouditfirmas wat deur die JSE geakkrediteer word en senior inspekteurs van die IRBA gevoer. Daar is bevind dat die deelnemende ouditeurs 'n maatskappy se etiese leierskap, etiese kultuur, die beheerrol van die ouditkomitee en voldoening aan wette en regulasies assesseer wanneer 'n maatskappy se “karakter aan die hoof” geassesseer word terwyl aan gehaltebeheerbeginsels voldoen word. Ten spyte daarvan dat die deelnemers erken dat assesserings van “karakter aan die hoof” uitgevoer word tydens die vooraanstelling en beplanning van ’n oudit en dat die ouditaanstellingsvennoot verantwoordelik is vir hierdie assesserings, is daar 'n gebrek aan bewyse in die ouditlêers wat hierdie assesserings steun. Die studie se bevindings kan ouditfirmas in staat stel om leiding in hulle ouditmetodologieë in te sluit vir assesserings van “karakter aan die hoof” en om sodanige assesserings te dokumenteer, en dit kan die IRBA ook help om leiding en opleiding aan ouditeurs te gee vir sulke assesserings. / Profešene ya go hlakiša e lebane le tshekatsheko ka lebaka la difeme tša tlhakišo tšeo di amanywago le badirelwa ba ‘boikgafo le boetapele bja taolo’ bja go fokola, le ge bahlakiši ba nyakega go lekola ‘boikgafo le boetapele bja taolo’ bja khamphani, bobedi pele ga le nakong ya tlhakišo. Bothata bo tšwelela ge, go ka direga gore bahlakiši ba dire tekolo ya ‘boikgafo le boetapele bja taolo’ yeo e sego ya maleba, ba ka amanywa le khamphani ya go se be le maitshwaro. Gape, tekolo yeo e sego ya maleba, e ka tšweletša kotsi ya tekolo ya setatamente se se fošagetšego sa materiale gomme, ka gona, kgopolo ya tlhakišo yeo e sego ya maleba mo setatamenteng sa ditšhelete sa khamphani. Mokgwa wa dinyakišišo tša temogo le moakanyetšo wa tshepetšo ya dinyakišišo di šomišitšwe go kwešiša ka moo bahlakiši ba lekolago ‘boikgafo le boetapele bja taolo’ bja khamphani. Badirišani ba tlhakišo go tšwa femeng ya bahlakiši yeo e dumeletšwego ya JSE le bahlahlobibagolo go tšwa IRBA ba boledišitšwe. Go utollotšwe gore bahlakiši bao ba kgathago tema ba lekotše boetapele bja maitshwaro bja khamphani, setšo sa maitshwaro, mošomo wa taolo wa komiti ya tlhakišo le go obamela melao le melawana ge go lekolwa ‘boikgafo le boetapele bja taolo’ wa khamphani mola go latelwa mekgwa ya taolo ya boleng. Le ge bakgathatema ba amogela bobedi gore ditekolo tša ‘boikgafo le boetapele bja taolo’ di dirwa nakong ya peakanyo ya pele le thulaganyo ya difaele tša tlhakišo tšeo di thekgago ditekolo tše, ga se gwa ba le bohlatse ka mo difaeleng tša tlhakišo tšeo di thekgago ditekolo tše. Dikutollo tša dinyakišišo di ka thuša difeme tša tlhakišo go akaretša tlhahlo mo mekgweng ya bona ya tlhakišo mo go ditekolo tša ‘boikgafo le boetapele bja taolo’ le go ngwala ditekolo tšeo, gape di ka thuša gape IRBA ka go fa tlhahli le tlhahlo go bahlakiši mo ditekolong tšeo. / Business Management / M. Phil. (Accounting Sciences)

Abstracts in English, Zulu and Southern Sotho / The advent of Basel II Capital Accord has revolutionised credit risk measurement (CRM) to the extent that the once “perceived riskier bank assets” are now accommodated for lending. The Small and Medium Enterprise (SME) sector has been traditionally perceived as a riskier and unprofitable asset for lending activity by Commercial Banks, in particular. But empirical studies on the implementation of the Basel II internal-ratings-based (IRB) framework have demonstrated that SME credit risk is measurable. Banks are still finding it difficult to forecast SME loan default and to provide credit to the sector that meet Basel’s capital requirements. The thesis proposes to construct an empirical credit risk measurement (CRM) model, specifically for SMEs, to ameliorate the adverse effects of SME credit inaccessibility due to high information asymmetry between financial institutions (FI) and SMEs in Zimbabwe. A well-performing and accurate CRM helps FIs to control their risk exposure through selective granting of credit based on a thorough statistical analysis of historical customer data. This thesis develops a CRM model, built on a statistically random sample, known-good-bad (KGB) sample, which is a better representation of the through-the-door (TTD) population of SME loan applicants. The KGB sample incorporates both accepted and rejected applications, through reject inference (RI). A model-based bound and collapse (BC) reject inference methodology was empirically used to correct selectivity bias inherent in CRM domain. The results have shown great improvement in the classification power and aggregate supply of credit supply to the SME portfolio of the case-studied bank, as evidenced by substantial decrease of bad rates across models developed; from the preliminary model to final model designed for the case-studied bank. The final model was validated using both bad rate, confusion matrix metrics and Area under Receiver Operating Characteristic (AUROC) curve to assess the classification power of the model within-sample and out-of-sample. The AUROC for the final model (weak model) was found to be 0.9782 whilst bad rate was found to be 14.69%. There was 28.76% improvement in the bad rate in the final model in comparison with the current CRM model being used by the case-studied bank. / Isivumelwano seBasel II Capital Accord sesishintshe indlela yokulinganisa ubungozi bokunikezana ngesikweletu credit risk measurement (CRM) kwaze kwafika ezingeni lapho izimpahla ezazithathwa njengamagugu anobungozi “riskier bank assets” sezimukelwa njengesibambiso sokuboleka imali. Umkhakha wezamaBhizinisi Amancane naSafufusayo, phecelezi, Small and Medium Enterprise (SME) kudala uqondakala njengomkhakha onobungozi obukhulu futhi njengomkhakha ongangenisi inzuzo, ikakhulu njengesibambiso sokubolekwa imali ngamabhange ahwebayo. Kodwa izifundo zocwaningo ezimayelana nokusetshenziswa nokusetshenziswa kwesakhiwo iBasel II internal-ratings-based (IRB) sezikhombisile ukuthi ubungozi bokunikeza isikweletu kumabhizinisi amancane nasafufusayo (SME) sebuyalinganiseka. Yize kunjalo, amabhange asathola ukuthi kusenzima ukubona ngaphambili inkinga yokungabhadeleki kahle kwezikweletu kanye nokunikeza isikweletu imikhakha enemigomo edingekayo yezimali kaBasel. Lolu cwaningo beluphakamisa ukwakha uhlelo imodeli ephathekayo yokulinganisa izinga lobungozi bokubolekisa ngemali (CRM) kwihlelo lokuxhasa ngezimali ama-SME, okuyihlelo elilawulwa yiziko lezimali ezweni laseZimbabwe. Imodeli ye-CRM esebenza kahle futhi eshaya khona inceda amaziko ezimali ukugwema ubungozi bokunikezana ngezikweletu ngokusebenzisa uhlelo lokunikeza isikweletu ababoleki abakhethekile, lokhu kususelwa ohlelweni oluhlaziya amanani edatha engumlando wekhasimende. Imodeli ye-CRM ephakanyisiwe yaqala yakhiwa ngohlelo lwamanani, phecelezi istatistically random sample, okuluphawu olungcono olumele uhlelo lwe through-the-door (TTD) population lokukhetha abafakizicelo zokubolekwa imali bama SME, kanti lokhu kuxuba zona zombili izicelo eziphumelele kanye nezingaphumelelanga. Indlela yokukhetha abafakizicelo, phecelezi model-based bound-and-collapse (BC) reject-inference methodology isetshenzisiwe ukulungisa indlela yokukhetha ngokukhetha ngendlela yokucwasa kwisizinda seCRM. Imiphumela iye yakhombisa intuthuko enkulu mayelana namandla okwehlukanisa kanye nokunikezwa kwezikweletu kuma SME okungamamabhange enziwe ucwaningo lotho., njengoba lokhu kufakazelwa ukuncipha okukhulu kwe-bad rate kuwo wonke amamodeli athuthukisiwe. Imodeli yokuqala kanye neyokugcina zazidizayinelwe ibhange. Imodeli yokugcina yaqinisekiswa ngokusebenzisa zombili indlela isikweletu esingagculisi kanye negrafu ye-Area under Receiver Operating Characteristic (AUROC) ukulinganisa ukwehlukaniswa kwamandla emodeli engaphakathi kwesampuli nangaphandle kwesampuli. Uhlelo lwe-AUROC lwemodeli yokugcina (weak model) lwatholakala ukuthi luyi 0.9782, kanti ibad rate yatholakala ukuthi yenza i-14.69%. Kwaba khona ukuthuthuka nge-28.76% kwi-bad rate kwimodeli yokugcina uma iqhathaniswa nemodeli yamanje iCRM model ukuba isetshenziswe yibhange elithile. / Basel II Capital Accord e fetotse tekanyo ya kotsi ya mokitlane (credit risk measurement (CRM)) hoo “thepa e kotsi ya dibanka” ka moo e neng e bonwa ka teng, e seng e fuwa sebaka dikadimong. Lekala la Dikgwebo tse Nyane le tse Mahareng (SME) le bonwa ka tlwaelo jwalo ka lekala le kotsi e hodimo le senang ditswala bakeng sa ditshebetso tsa dikadimo haholo ke dibanka tsa kgwebo. Empa dipatlisiso tse thehilweng hodima se bonweng kapa se etsahetseng tsa tshebetso ya moralo wa Basel II internal-ratings-based (IRB) di supile hore kotsi ya mokitlane ya SME e kgona ho lekanngwa. Leha ho le jwalo, dibanka di ntse di thatafallwa ke ho bonelapele palo ya ditlholeho tsa ho lefa tsa diSME le ho fana ka mokitla lekaleng leo le kgotsofatsang ditlhoko tsa Basel tsa ditjhelete. Phuputso ena e ne sisinya ho etsa tekanyo ya se bonwang ho mmotlolo wa kotsi ya mokitlane (CRM) tshebetsong ya phano ya tjhelete ya diSME e etswang ke setsi sa ditjhelete (FI) ho la Zimbabwe. Mmotlolo o sebetsang hantle hape o fanang ka dipalo tse nepahetseng o dusa diFI hore di laole pepeso ya tsona ho kotsi ka phano e kgethang ya mokitlane, e thehilweng hodima manollo ya dipalopalo ya dintlha tsa histori ya bareki. Mmotlolo o sisingwang wa CRM o hlahisitswe ho tswa ho sampole e sa hlophiswang, e leng pontsho e betere ya setjhaba se ikenelang le monyako (TTD) ya batho bao e kang bakadimi ba tjhelete ho diSME, hobane e kenyelletsa bakopi ba amohetsweng le ba hannweng. Mokgwatshebetso wa bound-and-collapse (BC) reject-inference o kentswe tshebetsong ho nepahatsa tshekamelo ya kgetho e leng teng ho lekala la CRM. Diphetho tsena di bontshitse ntlafalo e kgolo ho matla a tlhophiso le palohare ya phano ya mokitlane ho diSME tsa banka eo ho ithutilweng ka yona, jwalo ka ha ho pakilwe ke ho phokotseho ya direite tse mpe ho pharalla le dimmotlolo tse hlahisitsweng. Mmotlolo wa ho qala le wa ho qetela e ile ya ralwa bakeng sa banka. Mmotlolo wa ho qetela o ile wa netefatswa ka tshebediso ya bobedi reite e mpe le mothinya wa Area under Receiver Operating Characteristic (AUROC) ho lekanya matla a kenyo mekgahlelong a mmotlolo kahare ho sampole le kantle ho yona. AUROC bakeng sa mmotlo wa ho qetela (mmotlolo o fokotseng) e fumanwe e le 0.9782, ha reite e mpe e fumanwe e le 14.69%. Ho bile le ntlafalo ya 28.76% ho reite e mpe bakeng sa mmotlolo wa ho qetela ha ho bapiswa le mmotlolo wa CRM ha o sebediswa bankeng yona eo. / Graduate School of Business Leadership / D.B.L.