Cargando…

Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models

This paper was aimed at investigating the volatility and conditional relationship among inflation rates, exchange rates and interest rates as well as to construct a model using multivariate GARCH DCC and BEKK models using Ghana data from January 1990 to December 2013. The study revealed that the cum...

Descripción completa

Detalles Bibliográficos
Autores principales: Nortey, Ezekiel NN, Ngoh, Delali D, Doku-Amponsah, Kwabena, Ofori-Boateng, Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4342390/
https://www.ncbi.nlm.nih.gov/pubmed/25741459
http://dx.doi.org/10.1186/s40064-015-0837-6
_version_ 1782359273127280640
author Nortey, Ezekiel NN
Ngoh, Delali D
Doku-Amponsah, Kwabena
Ofori-Boateng, Kenneth
author_facet Nortey, Ezekiel NN
Ngoh, Delali D
Doku-Amponsah, Kwabena
Ofori-Boateng, Kenneth
author_sort Nortey, Ezekiel NN
collection PubMed
description This paper was aimed at investigating the volatility and conditional relationship among inflation rates, exchange rates and interest rates as well as to construct a model using multivariate GARCH DCC and BEKK models using Ghana data from January 1990 to December 2013. The study revealed that the cumulative depreciation of the cedi to the US dollar from 1990 to 2013 is 7,010.2% and the yearly weighted depreciation of the cedi to the US dollar for the period is 20.4%. There was evidence that, the fact that inflation rate was stable, does not mean that exchange rates and interest rates are expected to be stable. Rather, when the cedi performs well on the forex, inflation rates and interest rates react positively and become stable in the long run. The BEKK model is robust to modelling and forecasting volatility of inflation rates, exchange rates and interest rates. The DCC model is robust to model the conditional and unconditional correlation among inflation rates, exchange rates and interest rates. The BEKK model, which forecasted high exchange rate volatility for the year 2014, is very robust for modelling the exchange rates in Ghana. The mean equation of the DCC model is also robust to forecast inflation rates in Ghana.
format Online
Article
Text
id pubmed-4342390
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-43423902015-03-04 Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models Nortey, Ezekiel NN Ngoh, Delali D Doku-Amponsah, Kwabena Ofori-Boateng, Kenneth Springerplus Research This paper was aimed at investigating the volatility and conditional relationship among inflation rates, exchange rates and interest rates as well as to construct a model using multivariate GARCH DCC and BEKK models using Ghana data from January 1990 to December 2013. The study revealed that the cumulative depreciation of the cedi to the US dollar from 1990 to 2013 is 7,010.2% and the yearly weighted depreciation of the cedi to the US dollar for the period is 20.4%. There was evidence that, the fact that inflation rate was stable, does not mean that exchange rates and interest rates are expected to be stable. Rather, when the cedi performs well on the forex, inflation rates and interest rates react positively and become stable in the long run. The BEKK model is robust to modelling and forecasting volatility of inflation rates, exchange rates and interest rates. The DCC model is robust to model the conditional and unconditional correlation among inflation rates, exchange rates and interest rates. The BEKK model, which forecasted high exchange rate volatility for the year 2014, is very robust for modelling the exchange rates in Ghana. The mean equation of the DCC model is also robust to forecast inflation rates in Ghana. Springer International Publishing 2015-02-24 /pmc/articles/PMC4342390/ /pubmed/25741459 http://dx.doi.org/10.1186/s40064-015-0837-6 Text en © Nortey et al.; licensee Springer. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Nortey, Ezekiel NN
Ngoh, Delali D
Doku-Amponsah, Kwabena
Ofori-Boateng, Kenneth
Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
title Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
title_full Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
title_fullStr Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
title_full_unstemmed Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
title_short Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
title_sort modeling inflation rates and exchange rates in ghana: application of multivariate garch models
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4342390/
https://www.ncbi.nlm.nih.gov/pubmed/25741459
http://dx.doi.org/10.1186/s40064-015-0837-6
work_keys_str_mv AT norteyezekielnn modelinginflationratesandexchangeratesinghanaapplicationofmultivariategarchmodels
AT ngohdelalid modelinginflationratesandexchangeratesinghanaapplicationofmultivariategarchmodels
AT dokuamponsahkwabena modelinginflationratesandexchangeratesinghanaapplicationofmultivariategarchmodels
AT oforiboatengkenneth modelinginflationratesandexchangeratesinghanaapplicationofmultivariategarchmodels