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- W2887231133 abstract "Financial forecasting is one of the challenging fields of research due to its wide commercial applicationsand high risks that could happen to courtiers economies if fail to deal with various changes in the market. StockMarket found to be a dynamic, non-linear and complex process in nature. It is usually affected by many factorssuch as economic conditions, bank exchange rate, investors’ expectations, governmental events, and of courseWars in various areas of the world. The process of prediction/forecasting of money exchange rate help organizations,governments and business market to make decisions; it is essential for determining information about futuremarkets. This paper introduces the basic idea of developing mathematical models for currency exchange rate usingArtificial Neural Network (ANN) and Multiple Linear Regression (MLR) models. The data set used in theexperiments collected during January 4, 2010 to December 31, 2013. Number of criterion were used to validatethe developed model’s performance. The NN model show promising results." @default.
- W2887231133 created "2018-08-22" @default.
- W2887231133 creator A5012742956 @default.
- W2887231133 date "2018-01-01" @default.
- W2887231133 modified "2023-09-26" @default.
- W2887231133 title "Prediction Stock Market Exchange Prices for the Reserve Bank of Australia Using Auto-Regressive with eXogenous Input Neural Network Model" @default.
- W2887231133 hasPublicationYear "2018" @default.
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