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 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 reflecting key economic sectors, which interact in asset, funding, and derivatives markets and face solvency and liquidity constraints...

We investigate the relationship between macroeconomic conditions and banks' balance sheets by referring to a modified version of the Bank of Italy Quarterly Model (BIQM), regularly used for forecasting and policy analysis. In particular, we examine how regulatory bank capital and private sector...

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 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...

This paper investigates the interrelations between monetary, macro- and microprudential policies. It first provides an overview of the three policies, starting with their main instruments and objectives. Monetary policy aims at maintaining price stability and promoting balanced economic growth,...

This paper develops a framework for assessing systemic risks and for predicting (out-of-sample) systemic events, i.e. periods of extreme financial instability with potential real costs. We test the ability of a wide range of “stand alone” and composite indicators in predicting systemic...

This paper develops a framework for assessing systemic risks and for predicting (out-of-sample) systemic events, i.e. periods of extreme financial instability with potential real costs. We test the ability of a wide range of “stand alone” and composite indicators in predicting systemic...

The VIX, the stock market option-based implied volatility, strongly co-moves with measures of the monetary policy stance. When decomposing the VIX into two components, a proxy for risk aversion and expected stock market volatility (“uncertainty”), we find that a lax monetary policy decreases...

The paper analyses the global spillovers of the Federal Reserve’s unconventional monetary policy measures since 2007. First, we find that Fed measures in the early phase of the crisis (QE1), but not since 2010 (QE2), were highly effective in lowering sovereign yields and raising equity markets...