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dc.contributor.author Atepor, Loretta Aku Yayra
dc.date.accessioned 2023-12-06T10:22:24Z
dc.date.available 2023-12-06T10:22:24Z
dc.date.issued 2021-12
dc.identifier.uri http://hdl.handle.net/123456789/10579
dc.description ii,ill:92 en_US
dc.description.abstract ABSTRACT Exchange rate is a key economic variable all around the world due to its multi faceted nature and its effect on the lives of every individual in many ways. However, the non-linear and the non-stationary characteristics of exchange rates make them difficult to understand their dynamics as well as factors that drive exchange rates. Therefore, the behaviour of the GHS/USD exchange rate from 2000 to 2019 was examined in this research work. The study adopted the heterogeneous market hypothesis (HMH) to explain the intrinsic characteristics of the GHS/USD exchange rate. To achieve the objectives of the study, the ensemble empirical mode decomposition (EEMD) technique was employed to determine the factors influencing the GHS/USD exchange rate. Using the EEMD, the GHS/USD exchange rate was decomposed into intrinsic mode functions (IMFs) and a residue. Secondly, the IMFs and the residue were classified into high-frequency, medium-frequency, low frequency and trend components. These were then analysed and it was found that the macroeconomic fundamentals were the main drivers of GHS/USD exchange rates. Finally, the rescaled range analysis (R/S analysis) and the autoregressive fractionally integrated moving average (ARFIMA) were used to also investigate and analyse the existence of long memory in GHS/USD exchange rates. It was observed that the GHS/USD exchange rates possessed long memory characteristics. It is, therefore, recommended that policymakers, as well as investors, should closely monitor the movement of the exchange rates and macroeconomic fundamentals when formulating exchange rate policies and adopting investment strategies. en_US
dc.language.iso en en_US
dc.publisher University of Cape Coast en_US
dc.subject Autoregressive fractionally integrated moving average en_US
dc.subject Denoising en_US
dc.subject Ensemble empirical mode decomposition en_US
dc.subject Exchange rate en_US
dc.title Exchange Rate Behaviour in Ghana en_US
dc.type Thesis en_US


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