This study presents an extension of the Gaussian process regression model for multiple-input multiple-output forecasting. This approach allows modelling the cross-dependencies between a given set of input variables and generating a vectorial prediction. Making use of the existing correlations in...

This paper analyses the leading characteristics of the Consumer Confidence Index (CCI) with respect to stock market returns for 11 New EU Member States. It proposes novel CCI weights by minimizing mean squared errors from regression forecasting equations, using CCI lags as regressors. With...

This study aims to refine unemployment forecasts by incorporating the degree of consensus in consumers' expectations. With this objective, we first model the unemployment rate in eight European countries using the step-wise algorithm proposed by Hyndman and Khandakar (J Stat Softw 27(3):1-22,...