Residential real estate forecasting has become a part of the larger process of business planning and strategic management. Several studies of housing price trends recommend confining statistical analysis to repeated sales of residential property. This study presents an alternate methodology which combines information only on repeated residential sales regardless of the changes that has been made in the house in-between the sales. Additive and multiplicative models were used to forecast the residential property prices in Nelson Mandela Metropole. Data was collected from various sources and was reconciled into one data set for analysis through a process of data screening.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:21006 |
| Date | January 2014 |
| Creators | Mpapela, Sinazo |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Science |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Masters, MSc |
| Format | ix, 112, 9 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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