Can the forecast of the cotton price be improved using a model based upon economic variables?
The purpose of this thesis is to find a model, which is based on economic variables that can forecast the cotton price better than commonly used benchmark models. A vector error correction model is used because of the existence of non-stationary variables and one cointegration relation in the data. Two types of forecasting methods are used for out-of sample predictions. The dynamic forecasting in
