We implement a novel method to detect systemically important financial institutions in a network. The method consists in a simple model of distress and losses redistribution derived from the interaction of banks' balance-sheets through bilateral exposures. The algorithm goes beyond the...

We use an incentive model in which improvements to fundamentals boost the ability of leveraged financial firms (banks) to expand the balance sheet (as in Adrian and Shin 2010). The rise in asset prices due to the amplified response of procyclical systems distorts bankers' incentives in providing...

We provide a micro-based rationale for macroprudential capital regulation of financial intermediaries (banks) by developing a model in which bankers can privately undertake a costly effort and reduce the probability of adverse shocks to their asset holdings that force liquidation (deterioration...

Following a decline in the fundamental risk of assets, the ability of banks to expand the balance sheet under a Value-at-Risk constraint in- creases (as in Adrian and Shin (2010)), boosting the bank’s incentives to provide costly monitoring effort that prevents asset deterioration. On the...

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 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...

Bayesian approaches to the estimation of DSGE models are becoming increasingly popular. Prior knowledge is normally formalized either directly on deep parameters' values (‘microprior’) or indirectly, on macroeconomic indicators, e.g. moments of observable variables (‘macroprior’). We...

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...

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...