Relationship between Exchange Rate Volatility and Interest Rates Evidence from Ghana
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Taylor & Francis Group
Abstract
This paper examines the effect of interest rates on exchange rate
volatilities in Ghana. It utilizes the Quarterly Time Series dataset spanning 2000
Quarter 1 to 2017 Quarter 2 and the Autoregressive Distributed Lag model as well
as the Vector Error Correction Model to investigate the long-run and short-run
relationships between the variables. The results showed that in the long-run model,
exchange rate volatility was seen to be influenced by money supply, inflation,
Central Bank’s policy rate, and the Ghana Stock Exchange composite index.
However, in the short-run model, exchange rate volatility was found to be significantly influenced by its past values and the Central Bank’s policy rate
Description
Research Article