Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/20665
Author(s): | Muhammad, A. Ahmad, N. Dos-Santos, M. J. P. L. |
Date: | 2020 |
Title: | Forecast foreign exchange rate: the case study of PKR/USD |
Volume: | 11 |
Number: | 4 |
Pages: | 129 - 137 |
ISSN: | 2039-9340 |
DOI (Digital Object Identifier): | 10.36941/mjss-2020-0048 |
Keywords: | Autoregressive Forecasting Exchange rate ARIMA |
Abstract: | The 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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | DINÂMIA'CET-RI - Artigos em revistas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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12189-Article Text-44204-1-10-20200717.pdf | Versão Editora | 253,13 kB | Adobe PDF | View/Open |
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