EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE
Artificial Neural Networks as one of the Artificial Intelligence applications, which is the leading candidate for the greatest innovation of the century, has been started to be used in solving the complex problems of the economy for a while. Among them, predicting the exchange rate is one of the ut...
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| Format: | Article |
| Language: | English |
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Mehmet Akif Ersoy University
2021-07-01
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| Series: | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
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| Online Access: | https://dergipark.org.tr/en/download/article-file/1310885 |
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| author | Ayça Sarıalioğlu Hayali Hasan Babacan |
| author_facet | Ayça Sarıalioğlu Hayali Hasan Babacan |
| author_sort | Ayça Sarıalioğlu Hayali |
| collection | DOAJ |
| description | Artificial Neural Networks as one of the Artificial Intelligence applications, which is the leading candidate for the greatest innovation of the century, has been started to be used in solving the complex problems of the economy for a while. Among them, predicting the exchange rate is one of the utmost important complex issues to be determined especially for the small open economies, such as Turkey, where the changes in exchange rate influence all the other variables in the economy, from macro variables to micro ones. This paper aims to analyse the exchange rate determination between Turkish Lira and American Dollar by using Artificial Neural Networks through the Monetarist Model. As a result, much closed results to the real values were obtained. It can be said that although in exchange rate estimation both Artificial Neural Networks -Levenberg Marquardt and Artificial Neural Networks-Quasi-Newton models give good results, the Artificial Neural Networks -Levenberg Marquardt model is more successful in general terms. |
| format | Article |
| id | doaj-art-5bb108374dbd43c699ebed6f6cb298d2 |
| institution | Kabale University |
| issn | 2149-1658 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | Mehmet Akif Ersoy University |
| record_format | Article |
| series | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
| spelling | doaj-art-5bb108374dbd43c699ebed6f6cb298d22025-01-27T14:06:32ZengMehmet Akif Ersoy UniversityMehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2149-16582021-07-018274976010.30798/makuiibf.800405273EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASEAyça Sarıalioğlu Hayali0https://orcid.org/0000-0002-6613-7531Hasan Babacan1https://orcid.org/0000-0001-9570-1966Karadeniz Technical UniversityAMASYA UNIVERSITYArtificial Neural Networks as one of the Artificial Intelligence applications, which is the leading candidate for the greatest innovation of the century, has been started to be used in solving the complex problems of the economy for a while. Among them, predicting the exchange rate is one of the utmost important complex issues to be determined especially for the small open economies, such as Turkey, where the changes in exchange rate influence all the other variables in the economy, from macro variables to micro ones. This paper aims to analyse the exchange rate determination between Turkish Lira and American Dollar by using Artificial Neural Networks through the Monetarist Model. As a result, much closed results to the real values were obtained. It can be said that although in exchange rate estimation both Artificial Neural Networks -Levenberg Marquardt and Artificial Neural Networks-Quasi-Newton models give good results, the Artificial Neural Networks -Levenberg Marquardt model is more successful in general terms.https://dergipark.org.tr/en/download/article-file/1310885yapay sinir ağlarıdöviz kuru belirlemetürkiye örneğiartificial neural networksexchange rate determinationturkish case |
| spellingShingle | Ayça Sarıalioğlu Hayali Hasan Babacan EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi yapay sinir ağları döviz kuru belirleme türkiye örneği artificial neural networks exchange rate determination turkish case |
| title | EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE |
| title_full | EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE |
| title_fullStr | EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE |
| title_full_unstemmed | EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE |
| title_short | EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE |
| title_sort | exchange rate determination by artificial neural networks turkish case |
| topic | yapay sinir ağları döviz kuru belirleme türkiye örneği artificial neural networks exchange rate determination turkish case |
| url | https://dergipark.org.tr/en/download/article-file/1310885 |
| work_keys_str_mv | AT aycasarıaliogluhayali exchangeratedeterminationbyartificialneuralnetworksturkishcase AT hasanbabacan exchangeratedeterminationbyartificialneuralnetworksturkishcase |