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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.

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.Even if a company expects to be paid in its own currency, it must assess the risk that the buyer may not be able to pay the full amount due to currency fluctuations.XE Currency Converter - Live Rates com/currencyconverter Calculate live currency and foreign exchange rates with this free currency converter.

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  1. Earliest cultural activity at Chau Hiix has been traced to the early Middle Preclassic Swasey phase (ca 1000-500 BC) Among the many important aspects of Postclassic and early Spanish colonial period Maya life at Lamanai is shown by the presence of significant numbers of copper artifacts. Nearly all of the copper objects found at Lamanai are distinctly Mesoamerican in form and design and based on metallurgical analyses it appears that manufacturing technologies were distinctly Mesoamerican as well. The term "copper" is used to describe the metal found at the site but, all of the copper artifacts found at Lamanai were alloyed with other metals such as tin or arsenic and could technically be considered bronze (Hosler 1994: 210-213).