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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

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    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: 30 Jul 2013 08:34
    Last Modified: 16 Mar 2017 09:58
    URI: http://repository.usp.ac.fj/id/eprint/6038
    UNSPECIFIED

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