Modeling Volatility in the Gambian Exchange Rates: An ARMA-GARCH Approach

dc.contributor.authorMarreh, Sambujang
dc.contributor.authorOlubusoye, Olusanya E.
dc.contributor.authorKihoro, John M.
dc.date.accessioned2017-04-26T18:36:31Z
dc.date.available2017-04-26T18:36:31Z
dc.date.issued2015-09
dc.description.abstractThis paper models the exchange rate volatility in the Gambian foreign exchange rates data. Financial time series models that combined autoregressive moving average (ARMA) and generalized conditional heteroscedasticity (GARCH) was explored theoritically and applied to the daily Euro and US dollars (USD) exchange rates against the Gambian Dalasi (GMD) from 2003 through 2013. Based on Akaike information criteria, the ARMA(1,1)- GARCH(1,1) and ARMA(2,1)-GARCH(1,1) were judged the best fitting models to the Euro/GMD and USD/GMD return series respectively. Our empirical results revealed that the distribution of the return series was heavy-tailed and volatility was highly persistent in the Gambian foreign exchange market.en_US
dc.identifier.issn1916-971X
dc.identifier.issn1916-9728
dc.identifier.urihttp://hdl.handle.net/123456789/211
dc.language.isoenen_US
dc.publisherInternational Journal of Economics and Finance;en_US
dc.relation.ispartofseries;Vol. 6, No. 10;
dc.subjectexchange rates, Gambia, returns, volatility, ARMA, GARCHen_US
dc.titleModeling Volatility in the Gambian Exchange Rates: An ARMA-GARCH Approachen_US
dc.typeArticleen_US

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