That Ghana derives her foreign exchange earnings mainly from cocoa and gold exports cannot be over emphasised. There is therefore the need to forecast these commodities prices as accurately as possible for proper planning and execution of major policies, since the prices have been notoriously volatile during the past two decades and attempts to stabilize especially the price of the beans (which contributes about 60% of the country's foreign exchange) through the system of buffer stock and export restrictions have not been successful. In this regard, autoregressive integrated moving averages models are built and used to generate short run forecasts for the beans and the precious metal price series. These models are simple to build and appear not only to describe the behaviour of the series but provide good forecasts of the prices.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.61112 |
| Date | January 1991 |
| Creators | Ankrah, Samuel K. O. |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Master of Arts (Department of Economics.) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 001274360, proquestno: AAIMM74721, Theses scanned by UMI/ProQuest. |
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