Forecasting Tala-AUD using time series and artificial neural network model

Ahmed, Shamsuddin and Khan, Mohammad G.M. and Prasad, Biman C. and Prasad, Avlin (2013) Forecasting Tala-AUD using time series and artificial neural network model. World Academy of Science, Engineering and Technology (WASET), 77 . pp. 144-151. ISSN 2070-3740

PDF - Published Version Restricted to Repository staff only Download (995kB)

Abstract

The paper compares the autoregressive time series Artificial Neural Network model, exponential smoothing with trend, and Winters Method model to forecast exchange rate of Samoan
Tala/AUD during the period of January 3 2008 to September 28
2012. We use daily exchange rate data to do our study. The
performance of the models was measured by using varies error
functions such as Root Square mean error (RSME), Mean absolute error (MAE), and Mean absolute percentage error (MAPE). The empirical findings suggest that ANN model is an effective tool to forecast the Tala/AUD.

Item Type:	Journal Article
Uncontrolled Keywords:	Neural Network Forecasting Model, Autoregressive time series, Exchange rate, Tala/AUD, winters model
Subjects:	H Social Sciences > HB Economic Theory
Divisions:	Faculty of Business and Economics (FBE) > Graduate School of Business Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences Faculty of Science, Technology and Environment (FSTE) Faculty of Business and Economics (FBE) > School of Economics
Depositing User:	Anji Naidu
Date Deposited:	29 Jul 2013 20:34
Last Modified:	15 Mar 2017 21:58
URI:	https://repository.usp.ac.fj/id/eprint/6038

Actions (login required)

View Item