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In order to determine which is the fixed currency when neither currency is on the above list (i.e.both are "other"), market convention is to use the fixed currency which gives an exchange rate greater than 1.000.Authors test the suggested model on high-frequency time series data of USD/CAD and examine the ability to forecast exchange rate values for the horizon of one day.To determine the forecasting efficiency, they perform a comparative statistical out-of-sample analysis of the tested model with autoregressive models and the standard neural network.The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average.The moving average is supposed to enhance the outputs of the network using the error part of the original neural network.
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Forex markets are among the most active markets in the world in terms of dollar volume.
The participants include large banks, multinational corporations, governments, and speculators.
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