Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Journal of Applied Sciences
Year: 2011  |  Volume: 11  |  Issue: 24  |  Page No.: 3860 - 3864

Development of Exchange Rate Estimation Method by Using Artificial Neural Networks

M. Niamul Bary, M. Habib Ullah, M.T. Islam and M.R. Ahsan    

Abstract: 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.

Cited References   |    Fulltext    |   Related Articles   |   Back
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility