InternationaleJournals

FORECASTING OF INR/USD EXCHANGE RATES

Venugopal Sanke1, Raghavender Mamillapally 2

1Department of  Statistics, Osmania University, Hyderabad, A.P., India.
e-mail:
venugopalsanke@gmail.com

2Department of Statistics, University College of Science, Saifabad, Osmania Univeristy,  Hyderabad.

ABSTRACT

This article investigates the out-of-sample forecast performance of auto regressive integrated moving average (ARIMA) and Feed forward neural networks models for forecasting of INR/USD exchange rates. Neural networks model is outperforming than the ARIMA model. The results show that the exchange rate is declining and the value of rupee is increasing in the near future.

Keywords: Box-Jenkins Methodology, Exchange Rate, Neural Networks.

 

 

 

 

 

International eJournal of Mathematical Sciences, Technology and Humanities

Volume 4, Issue 2, Pages:  1228 - 1235