Thesis (MDF (Business Management))--University of Stellenbosch, 2009. / ENGLISH ABSTRACT: The risk of operating in a foreign investment climate is a subject of interest to most investors looking for opportunities to expand their international footprint. There are many organisations that provide risk assessments of the levels of threat of specific risks in foreign countries. However, most focus on political or what is commonly known as country risk or they provide a summary of ranking providing a comparison of different countries’ investment climate attractiveness. The make-up of the variables used in coming up with the ranking or a view on a particular country do not usually provide a level of detail that allows an analyst to understand the qualitative issues that give a country a particular rating assessment or ranking. This research has tried to address this gap by coming up with a detailed qualitative model that provides understanding of the key sources of information required for each major category of risk. The research also attempts to integrate as many aspects of the business environment that could affect a country. A particular case of Malawi has been chosen to demonstrate the level detail and understanding the investors need to reach before making a decision on whether to invest in a country.
The research focuses on three major areas. The first is to provide a good understanding of what is currently available for analysts to use in determining risk factors of a particular environment or risk category. The second is to illustrate the uses and limitations of the options available in the form of assessment reports or assessment models. The third is to develop a model and demonstrate its use in the context of Malawi’s investment climate. / AFRIKAANSE OPSOMMING: Die meeste van die beleggers op soek na geleenthede om hul internasionale voetspoor uit te brei, stel ook in die risiko belang wat besigheid in ’n buitelandse beleggingsklimaat inhou. Talle organisasies verskaf risiko-assesserings van die bedreigingsvlakke van spesifieke risiko’s in die buiteland. Die meeste van hulle kyk egter na politieke of landspesifieke risiko’s of hulle verskaf ’n opsomming waarin die ranglysposisies van die aanloklikheid van verskillende lande se beleggingsklimate vergelyk word. Die samestelling van die veranderlikes in hierdie ranglysposisies of oorsig van ’n spesifieke land verskaf gewoonlik nie voldoende detail aan die ontleder om die kwalitatiewe kwessies te verstaan wat aan ’n land ’n spesifieke assessering of ranglysposisie gee nie. Hierdie navorsing fokus op hierdie gaping deur ’n breedvoerige kwalitatiewe model te verskaf vir ’n beter begrip van die vernaamste inligtingsbronne wat vir elke groot risikokategorie vereis word. Hierdie navorsing poog ook om soveel aspekte van die sakeomgewing te integreer wat ’n land kan beïnvloed. Die spesifieke geval van Malawi is gekies om die vlak van detail en begrip te demonstreer wat beleggers nodig het voordat hulle ’n beleggingsbesluit ten opsigte van ’n land kan neem.
Die navorsing lê op drie belangrike areas klem. Die eerste is om ’n goeie begrip te bied van die inligting wat tans aan ontleders beskikbaar is om die risikofaktore van ’n spesifieke omgewing of risikokategorie te bepaal. Die tweede is om die gebruike en beperkings te illustreer van die opsies wat in die vorm van assesseringsverslae of assesseringsmodelle beskikbaar is. Die derde is om ’n model te ontwikkel en die gebruik daarvan in die konteks van Malawi se beleggingsklimaat te demonstreer.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/1029 |
| Date | 12 1900 |
| Creators | Ng'ombe, Chikondi Dalitso |
| Contributors | Roux, Andre, University of Stellenbosch. Faculty of Economic and Management Sciences. Graduate School of Business. |
| Publisher | Stellenbosch : University of Stellenbosch |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | Unknown |
| Type | Thesis |
| Format | 176 p. |
| Rights | University of Stellenbosch |
Page generated in 0.0021 seconds