To Build A Forecasting Model To Predict Steel Billet Cash Prices Traded in the London Metal Exchange
Chelladurai, Vinoth babu (2010) To Build A Forecasting Model To Predict Steel Billet Cash Prices Traded in the London Metal Exchange. [Dissertation (University of Nottingham only)] (Unpublished)
The forecasting of asset prices using time series analysis techniques has focussed a great deal on the accuracy of the forecasting models. Among the traditional techniques of time series forecasting, the Box Jenkins Autoregressive Integrated Moving Average (ARIMA) models have been one of the most widely used linear time series models. There had been growing number of research indicating that novel techniques like Artificial Neural Networks (ANN) can be a promising model for forecasting and could prove to be a better alternative to the traditional models.
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