OF INR/USD EXCHANGE RATES
Sanke1, Raghavender Mamillapally 2
of Statistics, Osmania University, Hyderabad, A.P., India.
of Statistics, University College of Science, Saifabad, Osmania Univeristy, Hyderabad.
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.
Box-Jenkins Methodology, Exchange Rate, Neural Networks.
eJournal of Mathematical Sciences, Technology and Humanities
Issue 2, Pages: 1228 - 1235