PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH
The prediction of the exchange rate time series has been quite challenging but is an essential process. This is as a result of the inherent noise and the volatile behavior in these series. Time series analysis models such as ARIMA have been used for this purpose. However, these models are limited d...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mehmet Akif Ersoy University
2023-08-01
|
| Series: | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/2349177 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832584500862779392 |
|---|---|
| author | Abdul-razak Bawa Yussif Fatih Mangır Zeynep Karaçor Ayten Yağmur |
| author_facet | Abdul-razak Bawa Yussif Fatih Mangır Zeynep Karaçor Ayten Yağmur |
| author_sort | Abdul-razak Bawa Yussif |
| collection | DOAJ |
| description | The prediction of the exchange rate time series has been quite challenging but is an essential process. This is as a result of the inherent noise and the volatile behavior in these series. Time series analysis models such as ARIMA have been used for this purpose. However, these models are limited due to the fact that they are not able to explain the non-linearity as well as the stochastic properties of foreign exchange rates. In order to perform a more accurate exchange rate prediction, deep-learning methods have been employed withremarkable rates of success. In this paper, we apply the Long-Short Term Memory Neural Network to predict the USD/TL exchange rate in Turkey. The result from this paper indicates that the Long-Short Term Memory Neural Network deep learning method gives higher prediction accuracy compared to the Auto Regressive Integrated Moving Average and the Multilayer Perception Neural Network models. |
| format | Article |
| id | doaj-art-16dd9faefe3b4963bfdd6dc5c721f171 |
| institution | Kabale University |
| issn | 2149-1658 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | Mehmet Akif Ersoy University |
| record_format | Article |
| series | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
| spelling | doaj-art-16dd9faefe3b4963bfdd6dc5c721f1712025-01-27T13:23:57ZengMehmet Akif Ersoy UniversityMehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2149-16582023-08-0110293594910.30798/makuiibf.1097568273PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACHAbdul-razak Bawa Yussif0https://orcid.org/0000-0002-1930-0287Fatih Mangır1https://orcid.org/0000-0003-1348-7818Zeynep Karaçor2https://orcid.org/0000-0003-2050-644XAyten Yağmur3https://orcid.org/0000-0003-2138-240XUniversity of ManitobaSELÇUK ÜNİVERSİTESİSELÇUK ÜNİVERSİTESİAKDENİZ ÜNİVERSİTESİThe prediction of the exchange rate time series has been quite challenging but is an essential process. This is as a result of the inherent noise and the volatile behavior in these series. Time series analysis models such as ARIMA have been used for this purpose. However, these models are limited due to the fact that they are not able to explain the non-linearity as well as the stochastic properties of foreign exchange rates. In order to perform a more accurate exchange rate prediction, deep-learning methods have been employed withremarkable rates of success. In this paper, we apply the Long-Short Term Memory Neural Network to predict the USD/TL exchange rate in Turkey. The result from this paper indicates that the Long-Short Term Memory Neural Network deep learning method gives higher prediction accuracy compared to the Auto Regressive Integrated Moving Average and the Multilayer Perception Neural Network models.https://dergipark.org.tr/en/download/article-file/2349177tahmindöviz kuruzaman serileriarimalstmmlp.predictionexchange ratetime seriesarimalstmmlp. |
| spellingShingle | Abdul-razak Bawa Yussif Fatih Mangır Zeynep Karaçor Ayten Yağmur PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi tahmin döviz kuru zaman serileri arima lstm mlp. prediction exchange rate time series arima lstm mlp. |
| title | PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH |
| title_full | PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH |
| title_fullStr | PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH |
| title_full_unstemmed | PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH |
| title_short | PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH |
| title_sort | predicting usd tl exchange rate in turkey the long short term memory approach |
| topic | tahmin döviz kuru zaman serileri arima lstm mlp. prediction exchange rate time series arima lstm mlp. |
| url | https://dergipark.org.tr/en/download/article-file/2349177 |
| work_keys_str_mv | AT abdulrazakbawayussif predictingusdtlexchangerateinturkeythelongshorttermmemoryapproach AT fatihmangır predictingusdtlexchangerateinturkeythelongshorttermmemoryapproach AT zeynepkaracor predictingusdtlexchangerateinturkeythelongshorttermmemoryapproach AT aytenyagmur predictingusdtlexchangerateinturkeythelongshorttermmemoryapproach |