Forecasting Foreign Exchange Rates with the use of Artificial Neural Networks/Learning Machines and comparison with Traditional Concepts and Linear Models

Masters Thesis


Alrajhi, Omar Hamad 2014. Forecasting Foreign Exchange Rates with the use of Artificial Neural Networks/Learning Machines and comparison with Traditional Concepts and Linear Models. Masters Thesis University of East London Royal Docks Business School
AuthorsAlrajhi, Omar Hamad
TypeMasters Thesis
Abstract

2014 dissertation for MSc in Finance & Risk. Selected by academic staff as a good example of a masters level dissertation. The prediction of Foreign Exchange has been an ever-going learning process. The development of methods of prediction has come a long way, from the beginning where the though there was no ability to predict the future, and behavior is an unpredictable entity to the development of simple statistical linear models that has come a long way to todays technology world where computers and their computational powers have made it possible for Artificial Intelligence to be born.
This paper will be going through previous studies on these Neural Networks to forecast the EUR/USD, GBP/USD and USD/JPY to test and review their ability to forecast one day ahead.

Year2014
Publication dates
Print09 Sep 2014
Publication process dates
Deposited01 Jun 2015
Publisher's version
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CC BY-NC-ND
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