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The home country is where a company is headquartered.The firm is likely to be paid or have profits in a different currency and will want to exchange it for its home currency.

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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.

In finance, an exchange rate (also known as a foreign-exchange rate, forex rate, ER, FX rate or Agio) between two currencies is the rate at which one currency will be exchanged for another.

It is also regarded as the value of one country’s currency in relation to another currency.[1] For example, an interbank exchange rate of 119 Japanese yen (JPY, ? 119 will be exchanged for each US$1 or that US$1 will be exchanged for each ? In this case it is said that the price of a dollar in relation to yen is ?

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.Individual traders comprise a very small part of this market.Because of the volatility in the price of foreign currency, losses can accrue very rapidly, wiping out an investor’s down payment in short order.The forward exchange rate refers to an exchange rate that is quoted and traded today but for delivery and payment on a specific future date.In some areas of Europe and in the retail market in the United Kingdom, EUR and GBP are reversed so that GBP is quoted as the fixed currency to the euro.They also incorporate genetic algorithm as an optimizing technique for adapting parameters of ANN which is then compared with standard backpropagation and backpropagation combined with K-means clustering algorithm.

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