longer forecasting horizons (the forecast accuracy gain as measured by the root mean squared forecast error is about 8% at …

losses. Study of the literature on lamb sales called for an analysis of price forecasting. In my study, I performed a … forecasting of lamb prices in Hungary, Italy and Greek for the period between 1996 and 2007 based on the data of the European … Committee. Among the forecasting methods, Seasonal Decomposition and SARIMA models are the most precise, producers can achieve a …

forecasting of linear and non-linear systems. This paper presents a neuro-fuzzy model for forecasting the fruit production of some … fruit forecasting is based on Adaptive Neural Fuzzy Inference System (ANFIS). ANFIS uses a combination of the least …

capable of forecasting agricultural prices on a quarterly basis. Firstly, we find that seasonal cycles in agricultural …

Forecasting at business cycle frequencies is traditionally done with statistically estimated econometric models. This …

This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting …