Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2259
Title: MODELLING THE DYNAMIC RELATIONSHIPS BETWEEN SOME MACROECONOMIC VARIABLES IN GHANA
Authors: Logubayom, Anuwoje Ida
Issue Date: 2015
Abstract: Macroeconomic variables are the main signposts signaling the current trends in an economy. In this study, data on the 91-day T-bill rate, 182-day T-bill rate, inflation rate and exchange rate from the Bank of Ghana database was modelled using multivariate time series techniques to investigate the dynamic interrelationships existing between these macroeconomic variables over time. The results revealed that, the 91-day T -bill, 182-day T -bill and inflation rates exhibit log-quadratic trends whiles exchange rate exhibit log- linear trend. Results of the Johansen's unrestricted trend co-integration test performed revealed that, the four set of variables were co-integrated and two linearly independent co- integrating equations describe the long run equilibrium relationship between these variables over time. The results also revealed that, both VAR (1) and VEC (2) models fitted was structural stable over time and best described the short run relationship between the rates over time. However, for a further inference on the relationship between the four time series variables, the V AR (1) model was selected since it has the least AIC, SBIC, HQIC and the maximum likelihood ratio values. Results from the VEC (2), VAR (1) models, Granger Causality, IRF and FEVD analysis showed that, there exist a unidirectional relationship between the 91-day T -bill and 182-day T -bill rates, between the 182-day T-bill and Inflation rates, between inflation and exchange rates and between the two T-bill rates and exchange rate. Both univariate and multivariate Ljung-Box and ARCH-LM model diagnostics test performed on the residuals of the VAR (1) models revealed that, the residuals were white noise series. A chi-square goodness of fit test performed on an out-sample forecasted growth rates with the VAR (1) model revealed that, the model adequately determined the behaviour of the rates over time.
Description: Master of Science in Applied Statistics
URI: http://hdl.handle.net/123456789/2259
Appears in Collections:Faculty of Mathematical Sciences

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