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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.

Convert currencies using interbank, ATM, credit card, and kiosk cash rates. Daily Foreign Exchange Rates or.th/English/Statistics/Financial Markets/Exchange Rate/... Currency Converter - Google Finance https:// Get real-time stock quotes & charts, financial news, currency conversions, or track your portfolio with Google Finance. Finance finance.yahoo.com/currency-converter Currency Converter from Yahoo! Foreign Exchange Rates & World Currencies - Bloomberg https:// Current exchange rates of major world currencies.

Historical Exchange Rates · Average Exchange Rates · Live Exchange Rates Exchange Rates - X-Rates foreign exchange rates and tools including a currency conversion calculator, historical rates and graphs, and a monthly exchange rate average. NOTICE: Myanmar's central bank has set a reference exchange rate under a managed float currency regime starting from 02 April 2012. Find updated foreign currency values, a currency converter and info for foreign currency trading.

This reduces rounding issues and the need to use excessive numbers of decimal places.

There are some exceptions to this rule: for example, the Japanese often quote their currency as the base to other currencies.

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.

For example, the purchasing power of the US dollar relative to that of the euro is the dollar price of a euro (dollars per euro) times the euro price of one unit of the market basket (euros/goods unit) divided by the dollar price of the market basket (dollars per goods unit), and hence is dimensionless.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.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.

For example, the purchasing power of the US dollar relative to that of the euro is the dollar price of a euro (dollars per euro) times the euro price of one unit of the market basket (euros/goods unit) divided by the dollar price of the market basket (dollars per goods unit), and hence is dimensionless.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.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.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.