Modelling covariance structures is known to suffer from the curse of dimensionality. In order to avoid this problem for forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures that accommodates asymmetry and long memory....

We assess the forecast ability of Norges Bank's regional survey for inflation, GDP growth and the unemployment rate in Norway. We propose several factor models based on regional and sectoral information given by the survey. The analysis identifies which information extracted from the ten sectors...

We propose to construct factor models based on disaggregate survey data to forecast national aggregate macroeconomic variables. We apply our methodology to Norges Bank's regional survey, which allows to construct regional and sectoral factor models, and to the Swedish Business Tendency survey,...