Forecasting the EUR/USD Exchange Rate Using ARIMA and Machine Learning Models
Said Lakhal
Data and Metadata, 2024, vol. 3, .368
Abstract:
The present paper compared ARIMA with two machine learning algorithms, for forecasting USD/EUR exchange rate data. The experimental results indicated that the performance of ARIMA fell between that of recurrent neural networks and long short-term memory machine learning algorithms.
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:3:y:2024:i::p:.368:id:1056294dm2024368
DOI: 10.56294/dm2024.368
Access Statistics for this article
More articles in Data and Metadata from AG Editor
Bibliographic data for series maintained by Javier Gonzalez-Argote ().