Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature

Foreign exchange (Forex) is the global scale trading of currency and the most liquid financial market. Therefore, predicting Forex has been challenged for many years. On the other hand, Artificial Neural Network (ANN) was widely used by researchers as a prediction technique since it can provide the...

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Main Authors: Ardiansyah, Soleh, Mazlina, Abdul Majid, Jasni, Mohamad Zain
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/5186/
http://umpir.ump.edu.my/id/eprint/5186/1/NCON-PGR_2012_Ardiansyah_Soleh.pdf
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author Ardiansyah, Soleh
Mazlina, Abdul Majid
Jasni, Mohamad Zain
author_facet Ardiansyah, Soleh
Mazlina, Abdul Majid
Jasni, Mohamad Zain
author_sort Ardiansyah, Soleh
building UMP Institutional Repository
collection Online Access
description Foreign exchange (Forex) is the global scale trading of currency and the most liquid financial market. Therefore, predicting Forex has been challenged for many years. On the other hand, Artificial Neural Network (ANN) was widely used by researchers as a prediction technique since it can provide the best prediction result. This paper surveys recent literature in the domain of ANN which used to forecast foreign exchange. This paper classifies the literature based on forecasting model, input data type, forecasting intervals, and evaluation method. This paper reveals progressive applications in addition to existing gap and less considered area and determines the future work of researchers.
first_indexed 2025-11-15T01:23:36Z
format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T01:23:36Z
publishDate 2012
recordtype eprints
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spelling ump-51862018-05-21T01:55:41Z http://umpir.ump.edu.my/id/eprint/5186/ Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature Ardiansyah, Soleh Mazlina, Abdul Majid Jasni, Mohamad Zain QA76 Computer software Foreign exchange (Forex) is the global scale trading of currency and the most liquid financial market. Therefore, predicting Forex has been challenged for many years. On the other hand, Artificial Neural Network (ANN) was widely used by researchers as a prediction technique since it can provide the best prediction result. This paper surveys recent literature in the domain of ANN which used to forecast foreign exchange. This paper classifies the literature based on forecasting model, input data type, forecasting intervals, and evaluation method. This paper reveals progressive applications in addition to existing gap and less considered area and determines the future work of researchers. 2012-09-08 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5186/1/NCON-PGR_2012_Ardiansyah_Soleh.pdf Ardiansyah, Soleh and Mazlina, Abdul Majid and Jasni, Mohamad Zain (2012) Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature. In: Proceeding National Conference for Postgraduate Research (NCON-PGR 2012) , 8-9 September 2012 , Universiti Malaysia Pahang. pp. 1-5.. (Published) http://ncon-pgr.ump.edu.my/
spellingShingle QA76 Computer software
Ardiansyah, Soleh
Mazlina, Abdul Majid
Jasni, Mohamad Zain
Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature
title Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature
title_full Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature
title_fullStr Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature
title_full_unstemmed Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature
title_short Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature
title_sort foreign exchange forecasting by using artificial neural networks: a survey of literature
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/5186/
http://umpir.ump.edu.my/id/eprint/5186/
http://umpir.ump.edu.my/id/eprint/5186/1/NCON-PGR_2012_Ardiansyah_Soleh.pdf