Open AccessA survey on exchange rate prediction using neural network based methods
Author(s) -
Pragyan Paramita Barik,
Smruti Rekha Das,
Debahuti Mishra
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.6.10069
Subject(s) - artificial neural network , exchange rate , computer science , econometrics , foreign exchange , machine learning , artificial intelligence , economics , finance , monetary economics
Forecasting exchange rate has always been in demand as it is very important for the international traders to predict how their money will perform against other currencies. So different methods have been applied by the researchers to accurately predict the exchange rates so that it can assist in taking decision while trading. From all the models the Artificial Neural Network (ANN) has given consistent performance in prediction by overcoming the limitations of other models and has outperformed all the models in terms of efficiency. The evolution of ANN is remarkable. In this paper, we have given the performance of different network models used by researchers to predict the exchange rates of major currencies in the future.