Indices (PMI) in anticipating US real economic activity. We conduct a fully-fledged real-time out-ofsample forecasting … forecasting GDP growth, while it performs quite poorly in anticipating industrial production growth. Combining the information …

subjective choices in the setting of the prior. Moreover, it performs very well both in terms of out-of-sample forecasting …

distribution. As an empirical illustration, we use euro area data and compare the forecasting performance of the New Area …

This paper uses a panel VAR (PVAR) approach to estimating, analysing, and forecasting price dynamics in four different …

provide more robust forecasts. We investigate this issue for forecasts from a range of short-term forecasting models. Our …

relative to other predictors generally improving in the post-2012 period. An out-of-sample forecasting exercise indicates that …, when monetary and credit aggregates are loaded directly in the forecasting equation, the additional gains over the … and credit variables in forecasting inflation, even if their information content is diluted in a much broader pool of …

story-telling and policy analysis were in the forefront of applications since its inception, the forecasting perspective of … models are inferior in ex-ante forecasting a crisis. Surprisingly however, it turned out that not all but those models which … only detect the turning point of the Austrian business cycle early in 2008 but they also succeeded in forecasting the …

A forecasting exercise is presented to assess the predictive potential of a daily price index based on online prices …

results of the model's forecasting performance suggest that this model can be a useful analytical tool in the process of … to MAKPAM and enriches the set of tools for forecasting and monetary policy analysis in NBRM. In this paper we highlight …