Corporate bankruptcies in the euro area have been on the rise, but the aggregate asset quality of banks’ corporate lending has remained broadly stable. This special feature analyses this divergence and its implications for financial stability. It shows that rising bankruptcies may partly be explained by the normalisation of firm turnover since the COVID-19 pandemic, albeit with marked cross-country unevenness.
This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE) models. The algorithm trains a deep neural network to approximate the model’s policy functions across four progressive phases: steady-state anchoring, exploration around the steady state, simulation on the ergodic set, and Monte Carlo integration of stochastic expectations.
This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE) models. The algorithm trains a deep neural network to approximate the model’s policy functions across four progressive phases: steady-state anchoring, exploration around the steady state, simulation on the ergodic set, and Monte Carlo integration of stochastic expectations.
This paper studies the employment effects of carbon pricing under the European Union’s Emissions Trading System (EU-ETS). I refer to standard methods from the literature to define and measure the environmental properties of jobs along two dimensions: how “green” a job is, and how polluting it is. I then leverage a series of shocks to EU-ETS prices to estimate their dynamic impacts on employment. The panel local projections estimates reveal that an exogenous 1% increase in EU-ETS prices leads to a roughly 0.2% decline in employment after one and a half years.
This paper studies the employment effects of carbon pricing under the European Union’s Emissions Trading System (EU-ETS). I refer to standard methods from the literature to define and measure the environmental properties of jobs along two dimensions: how “green” a job is, and how polluting it is. I then leverage a series of shocks to EU-ETS prices to estimate their dynamic impacts on employment. The panel local projections estimates reveal that an exogenous 1% increase in EU-ETS prices leads to a roughly 0.2% decline in employment after one and a half years.
Recent stress in parts of the US private credit market − including concerns about exposures in the software sector and redemption pressure in semi-liquid vehicles − has led to renewed focus on possible financial stability risks stemming from private credit and the potential relevance of such risks for the euro area. This special feature looks at the exposure of the euro area financial system to private credit. Using available commercial, public and proprietary data, it finds that euro area financial institutions appear to have limited direct exposure to private credit.
Artificial intelligence (AI) is rapidly transforming financial decision-making. To explore the implications for financial stability we ran simulation-based experiments on two different AI architectures. We found that Q-learning algorithms, a form of reinforcement learning, achieved a high degree of coordination, but were prone to bank run-like dynamics. In contrast, large language models , which rely on contextual reasoning, were less prone to such runs but generated heterogeneous and unpredictable behaviour.
This paper is the first to simultaneously examine firms’ market-based and bank-based external finance premia and investigate the behavior of corporate bond markets in the United States and the euro area, with a focus on country- and state-level heterogeneity in monetary unions. Using a unique micro-level dataset, we show that market finance premia, measured with corporate bond spreads, are remarkably similar in both the euro area and the US in terms of how little they depend on the issuer’s state or country of origin.
We study how private equity (PE) buyouts propagate through supply chains using unique firm-to-firm transactions data from Belgium. In normal times, suppliers of PE-backed firms outperform their peers by 5%–10% in employment and sales growth, primarily due to increased input demand from PE-backed customers rather than knowledge spillovers or other mechanisms. In economic downturns, however, this outperformance is attenuated and suppliers compress markups by around 8% as PE investors intensify bargaining pressure and reconfigure supply chains to extract cost savings.
We study how private equity (PE) buyouts propagate through supply chains using unique firm-to-firm transactions data from Belgium. In normal times, suppliers of PE-backed firms outperform their peers by 5%–10% in employment and sales growth, primarily due to increased input demand from PE-backed customers rather than knowledge spillovers or other mechanisms. In economic downturns, however, this outperformance is attenuated and suppliers compress markups by around 8% as PE investors intensify bargaining pressure and reconfigure supply chains to extract cost savings.
