Using monthly data from 1953 to 2003, we apply a real-time modeling approach to investigate the implications of U.S. political stock market anomalies for forecasting excess stock returns in real-time. Our empirical findings show that political variables, chosen on the basis of widely used...

We compare forecasts of stock market volatility based on real-time and revised macroeconomic data. To this end, we use a new dataset on monthly real-time macroeconomic variables for Germany. The dataset covers the period 1994-2005. We use statistical criteria, a utility-based criterion, and an...

This paper elaborates on the relative importance of sectoral shocks for real economic activity in Germany. Implications of multi-sectoral real business cycle models are examined by resorting to testing techniques based on stock market returns. The empirical evidence is obtained by calculating...