This paper aims to explore the forecasting accuracy of RON/USD exchange rate structural models with monetary fundamentals. I used robust regression approach for constructing robust neural models less sensitive to contamination with outliers and I studied its predictability on 1 to 6-month...

This paper aims to explore the nonlinear relation between investments and GDP. The method of neural network is used to construct two nonlinear models of GDP in relation to domestic investments, foreign direct investments and real interest rate. The results show that the two neural models present...