Development of Exchange Rate Estimation Method by Using Artificial Neural Networks

This study is presented the feasibility of cross-referencing of exchange rates to estimate exchange rates on a short-term basis. The cross-referencing technique suggested herein was used to predict EURO currency based on the exchange rate relations modeled by using Artificial Neural Networks. Foreign exchange rates namely UK Pound (GBP), Switzerland Francs (CHF), Canadian Dollar (CAD) and Singaporean Dollar (SGD) have been selected to estimate the EURO currencies based on the data collected from the past 10 years from 1999 to 2008. The main objective this paper is to estimate EURO currency trend based on the cross-referenced relations with the other four currencies by using Artificial Neural Networks. Promising result is shown that the Artificial Neural Networks has been found to be appropriate for modeling and simulation in the data assessments. The paper gives detailed results regarding the use of Artificial Neural Networks for modeling EURO trends in terms of other currencies.