The primary goal of this study was to develop a preliminary tool to determine caregivers’ needs regarding the management of a person with a traumatic brain injury (TBI), during the acute rehabilitation period. The potential impact of TBI on family dynamics, interpersonal relationships and functional independence is well documented.To facilitate achievement of the main goal this study was divided into two phases. In the first phase, caregivers’ needs were determined by means of both qualitative and quantitative measurements in the form of structured and unstructured observations, the implementation of a “Needs Questionnaire”, a focus group and semi-structured interviews. The results obtained during this phase indicated that caregivers have needs for support from professionals and the community, as well as needs regarding the general management of the person with a TBI and the management of the potential communication difficulties associated with TBI. Based on these needs, a preliminary tool, namely the “Needs questionnaire for caregivers of a person with a traumatic brain injury”, was developed. During the second phase of the study, this tool was administered to caregivers of individuals with TBI before and after the presentation of a workshop to determine whether there is a change in caregivers’ needs once they have received information. A pretest-posttest, experimental design was thus implemented during the second phase of this study. Although further research is required for the qualitative and quantitative validation of this tool, the use of this tool has implications for providing a better understanding of caregivers’ needs during the acute rehabilitation period after TBI. The results of this study further emphasize that improved service delivery in the South African context is reliant on the early identification, by the professional team, of the needs that caregivers of individuals with TBI have. / Dissertation (M (Communication Pathology))--University of Pretoria, 2007. / Speech-Language Pathology and Audiology / unrestricted

Abstracts in English, Afrikaans and Zulu / The advancement and development of the financial sector is fundamental for building an efficient economic system that enhances foreign and domestic investments. The aim of this study was to compare the relationship between the price performance of initial public offerings and macroeconomic indicators in the South African and the Nigerian economy. With the increase of IPO listing on both stock exchanges, it is of paramount importance that an analysis and examination of IPO performance and its contribution to the economy is conducted. Using the 91 and 19 initial public offerings that were listed on the Johannesburg Stock Exchange and the Nigerian Stock Exchange respectively during the years 2005 to 2015, price performance was measured by using the market-adjusted abnormal returns and the wealth relative model. The linear ordinary least squares regression model was used to measure the relationship between initial public offering performance and macroeconomic indicators. Based on the mean market adjusted returns, initial public offerings listed between 2005 and 2015 were under-priced. The regression model established that the first day, week and month price changes in Nigeria were 0.19, 0.48 and 0.77 times higher respectively than to South Africa. The regression analysis found that inflation and interest rates were positively correlated with price changes at the end of the first month of trade, whereas gross domestic product growth was not statistically significant. Therefore, to evade financial loss, investment decision making processes should consider factors such as geographic location, interest rates, inflation and the industry prior to making the decision. / Die bevordering en ontwikkeling van die finansiële sektor is fundamenteel vir die ontwikkeling van ʼn doeltreffende ekonomiese stelsel wat buitelandse en binnelandse investering aanmoedig. Die doel van hierdie studie was om die verhouding tussen die prysprestasie van aanvanklike openbare aanbiedinge en makro-ekonomiese aanwysers in die Suid-Afrikaanse en Nigeriese ekonomie te vergelyk. Met die toename in AOA-notering op albei aandelebeurse, is dit uiters belangrik dat ’n ontleding van en ondersoek na AOA-prestasie en sy bydrae tot die ekonomie uitgevoer word. Deur gebruikmaking van die 91 en 19 aanvanklike openbare aanbiedinge wat onderskeidelik op die Johannesburgse Effektebeurs en die Nigeriese Effektebeurs gedurende die tydperk 2005 tot 2015 genoteer is, is prysprestasie gemeet deur gebruikmaking van die markaangepaste abnormale opbrengste en die rykdomrelatiewe model. Die lineêre gewone kleinste kwadrate-regressiemodel is gebruik om die verwantskap tussen die prestasie van aanvanklike openbare aanbod en makro-ekonomiese aanwysers te meet. Op grond van die gemiddelde markaangepaste opbrengste was aanvanklike openbare aanbiedinge wat tussen 2005 en 2015 genoteer is, onderprys. Die regressiemodel het vasgestel dat die eerste dag-, week- en maandprysveranderinge in Nigerië onderskeidelik 0.19, 0.48 en 0.77 keer hoër as in Suid-Afrika was. Die regressieontleding het bevind dat inflasie en rentekoerse ’n positiewe korrelasie gehad het met prysveranderinge aan die einde van die eerste handelsmaand, terwyl bruto binnelandse produk se groei nie statisties beduidend was nie. Derhalwe, om finansiële verlies te ontduik, behoort investeringbesluitnemingsprosesse faktore soos geografiese ligging, rentekoerse, inflasie en die bedryf in aanmerking te neem voordat besluite geneem word. / Ukuqhubekela phambili kanye nentuthuko yomkhakha (sector) yezezimali kubalulekile ekwakheni inqubo yezomnotho esebenza kahle neqhubekela phambili ukutshalwa kwezimali zangaphandle kanye nezangaphakathi ezweni. Inhloso yalolu cwaningo bekuwukuqhathanisa ubuhlobo phakathi kokusebenza kwentengo yama-initial public offerings kanye nezinkomba zama-macroeconomic kumnotho weNingizimu Afrika kanye nowase-Nigeria. Ngokwenyuka kwe-IPO listing kuwo womabili ama-stock exchange, kubaluleke kakhulu ukuthi kwenziwe uhlaziyo nohlolo lokusebenza kwe-IPO kanye nomthelela wakho kumnotho kumele kwenziwe. Ngokusebenzisa ama-initial public offerings ka 91 no 19 kwi-Johannesburg Stock Exchange kanye nakwi-Nigerian Stock Exchange ngokuhambisana phakathi kweminyaka ka 2005 kanye no 2015, ukusebenza kwamanani entengo kwakalwa ngokusebenzisa ama-market-adjusted abnormal returns kanye ne-wealth relative model. Imodeli ye-linear ordinary least squares regression model kwasetshenziswa ukukala ubuhlobo phakathi kwama-initial public offering performance kanye nezinkomba ze-macroeconomic. Ngokulandela i-mean market-adjusted returns, ama-initial public offerings okwafakelwa kuhla phakathi kweminyaka ka 2005 kanye no 2015 kwakufakelwe ngentengo ephansi. I-regression model yathola ukuthi ngosuku lokuqala, ngeviki, kanye nenyanga, ukushintsha kwamanani entengo eNigeria, kwakungu 0.19, 0.48 kanye ne 0.77 ngezihlandla eziphezulu kuneNingizimu Afrika. Uhlaziyo lwe-regression analysis lwathola ukuthi i-infleshini kanye namazinga enzalo achaphazeleka ngendlela enhle ngokuhambisana noshintsho lwentengo ekupheleni kwenyanga yokuqala yokuhwebelana, lapho khona ukukhula kwe-gross domestic project kwakungakhulile kakhulu ngokwezibalo. Ngakho-ke, ukugwema ulahlekelo kwezezimali, izinqubo zokuthatha izinqumo ngotshalo-mali kumele kubonelele izinto ezifana nendawo okuyi-geographical location, amazinga enzalo, i-infleshini kanye nemboni ngaphambi kokuthatha isinqumo. / Finance, Risk Management and Banking / M. Com. (Business Management)

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.