Prediction of Rupiah Currency Value Against Dollar with ARIMA Model
DOI:
https://doi.org/10.30829/zero.v5i2.11101Abstract
The currency of each country is different, resulting in difficulties in transacting between one country and another. So it takes a currency exchange process to facilitate a transaction process between countries called the Exchange Rate. However, exchange rate volatility can threaten the economy of a country. Therefore, a prediction of the exchange rate is needed so that investors or the public can determine strategies or plans for future economic policies. Therefore, this study aims to find the ARIMA model that has the best performance in predicting the rupiah exchange rate against the dollar. So that this model can be a reference for investors and the public in investing in shares with other countries. The results of this study obtained the best model, namely the ARIMA model (0, 1, 1) to predict the exchange rate for the next 20 periods with the help of eviews9 software.Downloads
Published
2022-02-03
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).