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Any company operating globally must deal in foreign currencies.
It has to pay suppliers in other countries with a currency different from its home country’s currency.
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 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.
This is the exchange rate (expressed as dollars per euro) times the relative price of the two currencies in terms of their ability to purchase units of the market basket (euros per goods unit divided by dollars per goods unit).
If all goods were freely tradable, and foreign and domestic residents purchased identical baskets of goods, purchasing power parity (PPP) would hold for the exchange rate and GDP deflators (price levels) of the two countries, and the real exchange rate would always equal 1.
This reduces rounding issues and the need to use excessive numbers of decimal places.