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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.119, or equivalently that the price of a yen in relation to dollars is
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.119, or equivalently that the price of a yen in relation to dollars is $1/119.||
Any company operating globally must deal in foreign currencies./119.
It is the ratio of the number of units of a given country's currency necessary to buy a market basket of goods in the other country, after acquiring the other country's currency in the foreign exchange market, to the number of units of the given country's currency that would be necessary to buy that market basket directly in the given country.
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.
Finally, the authors find out that their suggested hybrid neural network is able to produce more accurate forecasts than the standard models and can be helpful in eliminating the risk of making the bad decision in decision-making process. Profits or losses accrue as the exchange rate of that currency fluctuates on the open market.
This report provides exchange rate information under Section 613 of Public Law 87-195 dated September 4, 1961 ( (b)) which gives the Secretary of the Treasury sole authority to establish the exchange rates for all foreign currencies or credits reported by all agencies of the government. The rates provided in this report are not meant to be used by the general public for conducting foreign currency conversion transactions.
The primary purpose is to ensure that foreign currency reports prepared by agencies are consistent with regularly published Treasury foreign currency reports regarding amounts stated in foreign currency units and U. This paper deals with application of quantitative soft computing prediction models into financial area as reliable and accurate prediction models can be very helpful in management decision-making process.