Forecast Foreign Exchange Rate
The Case Study of PKR/USD
Bibliographic Data
| ID | 21872043 |
|---|---|
| Authors | Muhammad Asadullah (0000-0003-1573-2178, Institute of Business Management), Nawaz Ahmad (0000-0002-6643-582X, Institute of Business Management), Dos Santos (0000-0002-1992-0419, Sport Lisboa e Benfica), Maria José Palma Lampreia Dos-Santos |
| Year | 2020 |
| Volume | 11 |
| Issue | 4 |
| Pages | 129 |
| Publication date | 2020-07-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Mediterranean Journal of Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2039-2117 • E-ISSN: 2039-9340 |
| Publisher | Richtmann Publishing (PUBLISHER) |
| DOI | 10.36941/mjss-2020-0048 |
| OpenAlex | W3042517128 |
| Language | EN |
| References cited | 1 |
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
Autoregressive integrated moving average · Econometrics · Economics · Exchange rate · Foreign exchange · Liberian dollar · Monetary economics · Moving average · Rupee · Statistics · Time series · Us dollar · Forecasting Techniques and Applications · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact · Finance
| Citation velocity | historical |
|---|---|
| Highly cited | No |