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The models can approximate any nonlinear function with an arbitrary level of accuracy, which makes them perfect for forecasting in various settings. Another study called "Using Recurrent Neural Networks to Forecasting of Forex," provides more empirical evidence that neural networks offers statistically reliable prediction of foreign currency rates. The model utilized in the study reportedly obtained 80% accuracy in prediction, confirming that neural networks can be be extremely effective in making foreign currency predictions. Some studies may have used data mining strategies to identify misleading relationships in data Curve Fitting. Some studies could possibly have used curve fitting techniques that will produce reliable most current listings for one data set, nevertheless, not for a wider population sample.
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The policy looks to own brought the Croatian economy some much needed breathing space, for exports increased by 6 percent in 2010 while imports dropped by 1.3 % within the same period.[4] An estimated 770 billion of Croatia's foreign reserve holdings of Euros are already sold to support the Kuna within the last 15 months, a necessary step to get a country that saw its economy contract by 6 percent of Real GDP in 2009.[5] One of the most glaring weaknesses in the Croatian economy, according to The Economist Intelligence Unit (EIU), is its over attachment to certain things: (1) a narrow export sector and (2) seasonal tourism. It is the a valuable thing that this Kuna is not a free floating currency traded without restraint about the international forex markets, correctly would be a speculators dream.
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