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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.In order to determine which is the fixed currency when neither currency is on the above list (i.e.

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.

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.

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

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.

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.

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 ?

119, or equivalently that the price of a yen in relation to dollars is $1/119.

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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.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.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 ?119, or equivalently that the price of a yen in relation to dollars is $1/119.

or that US

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.

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.

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 ?

119, or equivalently that the price of a yen in relation to dollars is $1/119.

||

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.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.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 ?119, or equivalently that the price of a yen in relation to dollars is $1/119.

will be exchanged for each ? In this case it is said that the price of a dollar in relation to yen is ?

119, or equivalently that the price of a yen in relation to dollars 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.

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.

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 ?

119, or equivalently that the price of a yen in relation to dollars is $1/119.

||

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.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.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 ?119, or equivalently that the price of a yen in relation to dollars is $1/119.

/119.

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