Forecast foreign exchange rate: the case study of PKR/USD

dc.contributor.authorMuhammad, A.
dc.contributor.authorAhmad, N.
dc.contributor.authorDos-Santos, M. J. P. L.
dc.date.accessioned2020-08-06T14:09:46Z
dc.date.available2020-08-06T14:09:46Z
dc.date.issued2020
dc.date.updated2020-08-06T15:07:54Z
dc.description.abstractThe main aim of this paper is to forecast the future values of the exchange rate of the USD. Dollar (USD) and Pakistani Rupee (PR). For this purpose was used the ARIMA model to forecast the future exchange rates, because the time series was stationary at first difference. Data reported to five years ranging from the first day of April 2014 to 31st March 2019. The results proved that ARIMA (1,1,9) is the most suitable model to forecast the exchange rate. The difference between the forecasted values and actual values are less than 1%; therefore, it was found that the ARIMA is robust and this model will be helpful for the government functionaries, monetary policymakers, economists and other stakeholders to identify and forecast the future trend of the exchange rate and make their policies accordingly.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.36941/mjss-2020-0048
dc.identifier.issn2039-9340
dc.identifier.urihttp://hdl.handle.net/10071/20665
dc.journalMediterranean Journal of Social Sciences
dc.language.isoeng
dc.number4
dc.pagination129 - 137
dc.peerreviewedyes
dc.publisherMCSER – Mediterranean Center of Social and Educational Research
dc.rightsopen access
dc.subjectAutoregressiveeng
dc.subjectForecastingeng
dc.subjectExchange rateeng
dc.subjectARIMAeng
dc.titleForecast foreign exchange rate: the case study of PKR/USDeng
dc.typearticle
dc.volume11
degois.publication.firstPage129
degois.publication.issue4
degois.publication.lastPage137
degois.publication.titleForecast foreign exchange rate: the case study of PKR/USDeng
dspace.entity.typePublicationen
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-73834
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.subject.odsParcerias para a implementação dos objetivospor

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