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’)....

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’)....

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...

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 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 use bank-level information on lending practices from the euro area Bank Lending Survey to construct a new indicator of loans’ supply tightening controlling for both macroeconomic and bank-specific factors. Embedding this information as external instrument in a Bayesian vector autoregressive...

We study the impact of a liquidity shock affecting investment funds on the financing conditions of firms. The abrupt liquidity needs of investment funds, triggered by the outbreak of the Covid-19 pandemic, prompted a retrenchment from bond purchases of firms and a withdrawal of short term funds...

We build a model to simulate how the euro area market-based financial system may function under stress. The core of the model is a set of representative agents re ecting key economic sectors, which interact in asset, funding, and derivatives markets and face solvency and liquidity constraints on...

The paper proposes a framework for assessing the impact of system-wide and bank-level capital buffers. The assessment rests on a factor-augmented vector autoregression (FAVAR) model that relates individual bank adjustments to macroeconomic dynamics. We estimate FAVAR models individually for...

Recent empirical literature shows that key macro variables such as GDP and productivity display long memory dynamics. For DSGE models, we propose a ‘Generalized' Kalman Filter to deal effectively with this problem: our method connects to and innovates upon data-filtering techniques already...