The paper investigates the impact of US quantitative easing (QE) on global non-financial corporate bond issuance. It distinguishes between two QE instruments, MBS/GSE debt and Treasury bonds, and disentangles between two channels of transmission of QE to global bond markets, namely flow effects...

The paper investigates the impact of US quantitative easing (QE) on global non-financial corporate bond issuance. It distinguishes between two QE instruments, MBS/GSE debt and Treasury bonds, and disentangles between two channels of transmission of QE to global bond markets, namely flow effects...

The paper investigates the impact of US quantitative easing (QE) on global non-financial corporate bond issuance. It distinguishes between two QE instruments, MBS/GSE debt and Treasury bonds, and disentangles between two channels of transmission of QE to global bond markets, namely flow effects...

The paper investigates the impact of US quantitative easing (QE) on global non-financial corporate bond issuance. It distinguishes between two QE instruments, MBS/GSE debt and Treasury bonds, and disentangles between two channels of transmission of QE to global bond markets, namely flow effects...

In the wake of the global financial crisis, the G20 has become the most important forum of global governance and cooperation, largely replacing the once powerful G7. In this paper we run an event study to test whether G20 meetings at ministerial and Leaders level have had an impact on global...

In this paper, we develop financial conditions indices (FCIs) for 3 industrialized (US, Japan, UK) and 5 emerging (China, Brazil, Russia, India, Turkey) economies. The FCIs are formed as the principal component of a range of financial series for each country and are constructed to account for...

We investigate the predictive content of credit and government interest spreads with respect to the Italian GDP growth. Our analysis with Dynamic Model Averaging identifies when interest spreads were more useful predictors of economic activity: these periods are not limited to the Great...

Bayesian approaches to the estimation of DSGE models are becoming increasingly popular. Prior knowledge is normally formalized either be information concerning deep parameters’ values (‘microprior’) or some macroeconomic indicator, e.g. moments of observable variables (‘macroprior’)....