There are many types of econometric models used in predicting the inflation rate, but in this study we used a Bayesian shrinkage combination approach. This methodology is used in order to improve the predictions accuracy by including information that is not captured by the econometric models....

Many researchers are interested in making predictions for macroeconomic variables, but few of them studied the accuracy of their forecasts. The problem is essential, especially in crisis periods, because from many forecasts made for the same indicator only one or few are the most accurate. In...

The simple econometric models for the exchange rate, according to recent researches, generates the forecasts with the highest degree of accuracy. This type of models (Simultaneous Equations Model, MA(1) Procedure, Model with lagged variables) is used to describe the evolution of the average...

Purpose – The purpose of the research is to find a suitable strategy to improve the SPF predictions for inflation. Design/methodology/approach – some alternative forecasts for the annual rate of change for the HICP for EU were developed, their accuracy was evaluated, using proper accuracy...

In crisis periods many malfunctions affect the economic environment. The forecasting process is also influence by the negative evolution of the macroeconomic variables. It is hard to predict the economic behavior of many indicators because of the lack of stability of the economic world. It is...

In this study, transformations of SPF inflation forecasts were made in order to get more accurate predictions. The filters application and Holt Winters technique were chosen as possible strategies of improving the predictions accuracy. The quarterly inflation rate forecasts (1975 Q1-2012 Q3) of...