The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

This paper studies the effects of FOMC communication on U.S. financial markets’ returns and volatility using a GARCH model over the period from 1998 to 2006. We build a new data set that includes information on all FOMC speeches, post-meeting statements, monetary policy reports and...

In this paper, we provide evidence for a risk-taking channel of monetary policy transmission in the euro area. Our dataset covers the period 2003Q1-2016Q2 and includes, in addition to the standard variables for real GDP growth, inflation, and the main refinancing rate, indicators of bank lending...

In this paper, we estimate a logit mixture vector autoregressive (Logit-MVAR) model describing monetary policy transmission in the euro area over the period 1999..2015. MVARs allow us to differentiate between different states of the economy. In our model, the state weights are determined by an...

In this paper, we provide evidence for a risk-taking channel of monetary policy transmission in the euro area that works through the relaxation of lending standards for borrowers. Our dataset covers the period 2003Q1-2016Q2 and includes, in addition to the standard variables for real GDP growth,...