M.Comm. / Many people work for their money but do not know how to make their money work for them. The subject of investment is foreign and even daunting to many people that can potentially benefit from investing their money wisely. While earning money is something most people are actively focussed on through the application of their skills, talents and gained knowledge, not many people are so focused on or adept at the management of their money after they earned it. Such individuals include professionals like engineers, lawyers, doctors, accountants as well as managers, entrepreneurs or tradesmen. In actual fact it includes all people that have not been specifically trained or exposed to the selection and management of investments. It is for this reason that a decision framework to aid such non specialist investors in their investment decisions have been conceptualised. This study will demystify general considerations related to investments and investment management and to open the field of investment management to non specialist investors by providing them with an investment selection decision framework. The study conducted thorough research into the different investment types available as well as the considerations that go with the subject of investment and investment management. The research findings clarify why people need to invest their money, the options that exist to choose from, the distinguishing features and considerations of investments options, how to gain access to different investment options and also who the stakeholders in the investment industry are. The decision support framework combines the learnings from the research into a simple to use tool whereby potential investors are guided through structured questions to derive at a list of investment types that most likely will meet their investment needs and preferences.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:6918 |
| Date | 04 October 2010 |
| Creators | Hickman, Thomas Nicolaas John |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Thesis |
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