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...

From a theoretical point of view, uncertainty may have an impact on investment by different channels and in different directions. Thus, the sign of its overall effect is unknown and could be found only empirically from the historical data. This paper analyzes the relation between macroeconomic...

After treating Gross Fixed Capital Formation and Domestic and Public Consumption, we continue with the problem of the relation between predictability and complexity in Romanian economy, analyzing other two components of GDP: Import and Export. The macroeconomic forecasting is a very difficult...