The secular increase in globalization led to a substantial increase in the interconnectedness of global financial markets. This has important implications for the conduct of monetary policy, as central bank policies may diverge across countries, potentially affecting key transmission channels of...

We show that the cash-flow exposure of banks to interest rate risk, or income gap, affects the transmission of monetary policy shocks to bank lending and real activity. We first use a large panel of U.S. banks to show that the sensitivity of bank profits to interest rates increases significantly...

Central banks have usually employed short-term rates as the main instrument of monetary policy. In the last decades, however, forward guidance has also become a central tool for monetary policy. In an innovative way this paper combines two sources of extraneous information - high frequency...

We use detailed micro information at household level from the Wealth and Assets Survey to construct measures of wealth inequality from 2005 to 2016 at the monthly frequency. We investigate the dynamic relationship between monetary policy and the evolution of wealth inequality measures. Our...

This paper evaluates the performance of a variety of structural VAR models in estimating the impact of credit supply shocks. Using a Monte-Carlo experiment, we show that identification based on sign and quantity restrictions and via external instruments is effective in recovering the underlying...

In this paper, we estimate trend inflation in Sweden using an unobserved components stochastic volatility model. Using data from 1995Q4 to 2021Q4 and Bayesian estimation methods, we find that trend inflation has been well-anchored during the period - although in general at a level below the...

This paper presents a credit gap for Malta derived from a semi-structural multivariate filter. This modelling approach has several advantages over univariate approaches typically used, for example to construct the Basel gap. The multivariate filtering of observed data into trends and cycles is...