A Comparison of the Monetary Model and Artificial Neural Networks in Exchange Rate Forecasting

摘要: Exchange value is one of the significant tools for investors in decision making. Since exchange values are volatile and they change within short periods, need an effective method to minimize risk. This study compares prediction performances artificial neural networks, which recently being used as tool prediction, monetary model, methods predict structural rates. In this rates Turkish Lira against US Dollar Euro predicted. models, inflation levels domestic foreign countries, money supply, interest economic indicators used. The time period between 1986 2010 covered USD 1999 EU. Results show that ANN, problems, reached a high level performance.