European Central Bank

Let the tree decide: FABART. A non-parametric factor model for nonlinear oil shock transmission

The question of how oil supply news shocks transmit to real activity, financial conditions, and regional labor markets is back at the center of the macroeconomic research agenda. To answer this question, we introduce the Factor Bayesian Additive Regression Tree (FABART) model, a nonlinear factor-augmented vector autoregression model, and apply it to a large U.S. macro-financial dataset with externally identified oil supply news shocks.

Threshold endogeneity in vector autoregressions: reassessing monetary state dependence

We develop an endogenous threshold VAR that addresses contemporaneous dependence between the threshold variable and reduced-form innovations— a pervasive issue when regime indicators are jointly determined with system dynamics. A regime-specific copula-based control function removes this dependence instrument-free, without parametric assumptions on the threshold’s marginal distribution, while preserving the linear regime-wise least-squares structure.

A SPOT in the dark: using AI to assess financial stability risks

Financial stability risks consist of two distinct components: vulnerabilities and possible trigger events. While there has been considerable progress regarding the measurement of vulnerabilities, the assessment of possible trigger events remains largely qualitative. To fill this gap, we employ Large Language Models to extract information about the Severity and Probability Of potential Trigger events (SPOT) from a large dataset of financial news articles over the period2005 – 2026.

A SPOT in the dark: using AI to assess financial stability risks

Financial stability risks consist of two distinct components: vulnerabilities and possible trigger events. While there has been considerable progress regarding the measurement of vulnerabilities, the assessment of possible trigger events remains largely qualitative. To fill this gap, we employ Large Language Models to extract information about the Severity and Probability Of potential Trigger events (SPOT) from a large dataset of financial news articles over the period2005 – 2026.

Threshold endogeneity in vector autoregressions: reassessing monetary state dependence

We develop an endogenous threshold VAR that addresses contemporaneous dependence between the threshold variable and reduced-form innovations— a pervasive issue when regime indicators are jointly determined with system dynamics. A regime-specific copula-based control function removes this dependence instrument-free, without parametric assumptions on the threshold’s marginal distribution, while preserving the linear regime-wise least-squares structure.

Adoption and investment in AI across the euro area. Insights from harmonised firm-level data

This paper explores the adoption of artificial intelligence (AI) technologies among euro area firms, using harmonised firm-level data from two dedicated modules of the Survey on the Access to Finance of Enterprises (SAFE) conducted in June and December 2025. Based on responses from around 6,000 firms across 12 euro area countries, the study examines AI adoption rates, drivers, barriers and economic implications. The findings suggest that AI diffusion among euro area firms is progressing rapidly but unevenly, with significant variation across countries and firm characteristics.

The Paris Agreement ten years later: Navigating climate uncertainty and tipping points

The climate crisis is an urgent, human-driven systemic challenge whose impacts are unfolding through increasingly frequent and severe extreme events. Although the 2015 Paris Agreement advanced global climate governance, implementation remains insufficient to limit warming to well below 2 °C and pursue 1.5 °C. Accelerating risks, interacting crises and potential tipping points suggest that climate change could become unmanageable if current GHGs emissions trajectories persist. This paper makes three contributions.

The Paris Agreement ten years later: Navigating climate uncertainty and tipping points

The climate crisis is an urgent, human-driven systemic challenge whose impacts are unfolding through increasingly frequent and severe extreme events. Although the 2015 Paris Agreement advanced global climate governance, implementation remains insufficient to limit warming to well below 2 °C and pursue 1.5 °C. Accelerating risks, interacting crises and potential tipping points suggest that climate change could become unmanageable if current GHGs emissions trajectories persist. This paper makes three contributions.

The bank collateral channel of monetary policy: evidence from securities losses

Monetary policy tightening generates valuation losses on banks’ securities portfolios, reducing the collateral available for interbank borrowing. Using detailed euro area data, we show that banks with larger securities losses during the 2022-23 monetary policy tightening cycle obtained less interbank funding and reduced lending to firms, even when losses did not affect regulatory capital. These effects were strongest for banks with limited liquidity buffers and high collateral utilisation.

Central banks, debt managers, and specialness in the Bund repo market

Elevated repo rate specialness for German government bonds in 2016–17, and particularly in 2022-23, has often been linked to the absorption of these securities by the ECB’s asset purchase programmes. We provide the first evidence on how the debt management office mitigates these effects by jointly analyzing daily secondary-market trades and repo operations of the Deutsche Finanzagentur (DFA) alongside Eurosystem transactions in Bunds from 2015–2024.

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