This paper extends the literature on the information content of financial variables with respect to future economic growth. It shows that variables originating from both the equity market and the bond market in Switzerland are useful indicators for forecasting the Swiss business cycle. In...

Using the Consensus Economics dataset with individual expertforecasts from G7 countries we investigate determinants of disagreement (crosssectionaldispersion of forecasts) about six key economic indicators. Disagreementabout real variables (GDP, consumption, investment and unemployment)has a...

Several authors have shown that there exists a significant relationship between the term structure of interest rates and future changes in the rate of inflation. More recently, this relationship has been strengthened through the introduction of nonlinearities and regime shifts. This paper...

Over the past 15 years there has been remarkable progress in the specification and estimation of dynamic stochastic general equilibrium (DSGE) models. Central banks in developed and emerging market economies have become increasingly interested in their usefulness for policy analysis and...

This paper introduces a new algorithm, the recursive upwind Gauss–Seidel method, andapplies it to solve a standard stochastic growth model in which the technology shocksexhibit heteroskedasticity. This method exploits the fact that the equations definingequilibrium can be viewed as a set of...

Macroeconomic risk assessments play an important role in the forecasts of manyinstitutions. However, to the best of our knowledge their performance has notbeen investigated yet. In this work, we study the Bank of England’s risk forecastsfor inflation. We find that these forecasts do not...

In this papaer, we put DSGE forecasts in competition with factor forecasts. We focus on these two models since they represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic background; the factor model on the other hand is mainly...

This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR(MF-VAR) approaches to model speci…cation in the presence of mixed-frequency data,e.g., monthly and quarterly series. MIDAS leads to parsimonious models based onexponential lag polynomials for the coe¢ cients, whereas...

This paper discusses pooling versus model selection for now- and forecasting in the pres-ence of model uncertainty with large, unbalanced datasets. Empirically, unbalanceddata is pervasive in economics and typically due to di¤erent sampling frequencies andpublication delays. Two model classes...

This paper contributes to the literature on the properties of money and creditindicators for detecting asset price misalignments. After a review of the evidence inthe literature on this issue, the paper discusses the approaches that can be consideredto detect asset price busts. Considering a...