We explore the ability of a macroprudential policy instrument to dampen the consequences of equity mispricing (a bubble) and the correction thereof (the bubble bursting), as well as the consequences for real activity in a production economy. In our model, producers are financed by both bank debt...

We analyze the impact on lending standards of short-term interest rates and macroprudential policy before the 2008 crisis, and of the provision of central bank liquidity during the crisis. Exploiting the euro area institutional setting for monetary and prudential policy and using the Bank...

I show that the detrending of financial variables with the Hodrick and Prescott (1981, 1997) (HP) and band-pass filters leads to spurious cycles. I find that distortions become especially severe when considering medium-term cycles, i.e., cycles that exceed the duration of regular business...

While regulatory capital buffers are expected to be drawn to absorb losses and meet credit demand during crises, this paper shows that banks were unwilling to do so during the pandemic. To the contrary, banks engaged in forms of pro-cyclical behaviour to preserve capital ratios. By employing...

This paper investigates the impact of the capital relief package adopted to support euro area banks at the outbreak of the COVID-19 pandemic. By leveraging confidential supervisory and credit register data, we uncover two main findings. First, capital relief measures support banks' capacity to...

With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...

Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...

A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...