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ECB - European Central Bank
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Latest releases on the ECB website - Press releases, speeches and interviews, press conferences.
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Interlinking payment systems and trade flows
This paper provides the first causal estimate of the economic impact of interlinking payment systems across countries. We exploit a new dataset of payment systems interlinking initiatives, which identifies over 2,000 connections, and employ standard gravity methods to estimate their impact on trade flows. Consistent with trade costs theory, we find that inter-connected countries have around 4% higher trade volumes, roughly half the effect of a trade agreement and a quarter of the effect of a common currency area. Our results isolate the average effect on trade, of directly connecting fast payment systems, net of country pairs already accessing the correspondent banking network. The estimated impact is larger for payment systems that allow wholesale transactions, those that link small countries, which, typically, are less connected to the correspondent banking network, and for geographical areas that face high cross-border payment costs. This suggests that the benefits from interlinking are derived from reduced cross-border trade costs. Our findings are causal – proved by parametric and semi-parametric estimators – and robust to numerous additional controls, including exclusion of the largest interlinked country group, the euro area.
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Crypto-Asset Monitoring Expert Group (CAMEG) 2025 Conference - Book of abstracts
This paper provides an overview of analytical work conducted largely in 2025, under their own aegis, by experts from various European central banks and authorities in the field of crypto-asset monitoring and presented at the Crypto-Asset Monitoring Expert Group (CAMEG) 2025 Conference. Currently, risks stemming from crypto-assets and the potential implications for central banking and relevant authorities’ domains remain limited and/or manageable, also given the existing regulatory and oversight frameworks. Nevertheless, the importance of monitoring developments in crypto-assets, raising awareness of the potential risks and fostering analytical preparedness cannot be overstated. This paper offers a brief background of the 2025 activities of CAMEG, which brings together experts from the European System of Central Banks and the European Banking Authority. It also provides abstracts from various CAMEG and non-CAMEG papers and other analytical works presented at the conference held on 30 and 31 October 2025. The conference aimed to take stock of analytical work and data issues in the area of crypto-assets, while fostering European collaboration and monitoring in this field. Finally, this paper outlines the prospective way forward for CAMEG, focusing on gaining greater insight into data and deepening analytical work on interlinkages, crypto-asset adoption and the latest trends.
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ECB staff macroeconomic projections for the euro area, March 2026
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Pandemic-era inflation dynamics in the euro area: the role of policy and non-policy demand and energy and non-energy supply factors
We analyze the sources of the pandemic-era inflation surge in the euro area using a Bayesian vector autoregression (BVAR) model. By applying narrative, sign, zero, and inequality restrictions,this study is the first that jointly analyzes the inflationary effects of energy and non-energy supply and policy and non-policy demand factors, including fiscal policy, conventional and unconventional monetary policy. Factoring in that energy price dynamics also responded to aggregate demand conditions, we find that the pandemic-era inflation surge in the euro area was driven by a combination of supply and demand factors. Energy-related supply side constraints, even if less important than often estimated, were a key factor in the run up of inflation. Fiscal and monetary policies were accommodative but not the dominant drivers.
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Letter from the ECB President to Mr Fabio de Masi, MEP, on institutional matters
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A robust approach to tilting: parametric relative entropy
We introduce a novel methodology, ”parametric tilting,” for incorporating external information into econometric model-based density forecasts. Unlike traditional entropic tilting, which can generate unrealistic or unstable distributions under certain conditions, parametric tilting ensures more reliable and numerically stable results. Our approach leverages the flexibility of the skew-T distribution, which captures key moments of macroeconomic time series, and minimizes the Kullback-Leibler divergence between the target and model-based distributions. This method overcomes limitations of entropic tilting, such as multimodal or degenerate distributions, providing a robust alternative for policymakers and researchers aiming to integrate external views into probabilistic forecasting frameworks.
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Stablecoins and monetary policy transmission
This paper studies the effects of stablecoin adoption—crypto-assets designed to maintain a stable value relative to a reference asset—on bank intermediation and the transmission of monetary policy. Using evidence from the rapid expansion of stablecoins combined with confidential granular data on euro area banks and their individual borrowers, we document three main findings. First, stablecoin adoption induces a deposit-substitution mechanism, whereby funds shift from retail bank deposits to digital assets. This reallocation increases banks’ reliance on wholesale funding and can ultimately constrain their intermediation capacity. Second, we show that stablecoins alter the passthrough of policy rates to bank funding costs and lending conditions and potentially weaken the predictability of policy actions. These effects are nonlinear and depend critically on the scale of stablecoin adoption, their design features, and their regulatory treatment. Third, we document a potential risk associated with the growing prevalence of foreign-currency-denominated stablecoins. Their diffusion is likely to increase banks’ reliance on foreign-currency wholesale funding. We show that banks with greater exposure to this source of funding exhibit a weaker loan-supply response to domestic monetary policy shocks, indicating a weakening of monetary policy transmission and a potential erosion of monetary sovereignty.
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ECB report on gender diversity in the period 2013-25
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Can satellites predict oil demand?
We investigate whether satellite observations of nitrogen dioxide (NO₂) – a short-lived pollutant primarily emitted by fossil fuel combustion – can improve the forecasting of oil demand. After retrieving, cleaning, and aggregating daily satellite data, we integrate NO₂ into a range of forecasting models. Across a panel of advanced and emerging economies, we find that including NO₂ significantly enhances nowcasting accuracy relative to benchmark models based on autoregressive terms and traditional predictors such as industrial activity, prices, weather, and vehicle registrations. Accuracy gains are particularly strong during crisis episodes but remain present in more stable times. Non-linear models, especially neural networks, yield the largest improvements, highlighting the non-linear link between energy demand and pollution. By offering a timely, globally consistent, and freely available proxy, satellite-based NO₂ data provide a valuable new tool for real-time monitoring of oil dema
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The great redistribution that wasn’t: a HANK-OLG perspective on monetary policy
We study the distributional consequences of the recent inflationary surge and the subsequent monetary policy response in the euro area. Using an estimated two-asset Heterogeneous Agent New Keynesian model with an overlapping generations structure, we analyze the macroeconomic shocks driving inflation between 2021 and 2022. We find that these shocks generated substantial redistribution from young and poor households toward older and wealthier ones. By keeping interest rates unchanged until mid-2022, monetary policy largely offset these distributional effects. A policy response based solely on a standard Taylor rule would have failed to mitigate the redistribution.
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Consolidated balance sheet of the Eurosystem as at 31 December 2025
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Annual Accounts 2025
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Bond funds’ risk taking and monetary policy
Using granular security-level data from bond funds domiciled in the US and the euro area, we identify a market-based risk-taking channel of monetary policy transmission via the credit-risk and the maturity structure of bond funds’ portfolios. We measure credit risk at the fund level as the weighted average credit rating of the fund’s bond holdings. We find that accommodative monetary policies by the Fed and the ECB are associated with increased risk in bond funds’ portfolios. Interestingly, risk-taking is more pronounced for funds with longer-term holdings relative to short-term ones and unconventional monetary policy exerts stronger market-based risk-taking effects than interest rate policy. Finally, we find that Fed’s monetary policy has a stronger impact on funds’ risk-taking behaviour than the ECB’s, highlighting the dominant role of US monetary policy in global financial markets.
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Stabilizing credit when nonperforming loans surge: the role of asset management companies
When default losses elevate borrowing costs, expanding credit cannot stabilize the economy because default rates feedback to lending rates through bank balance sheets. Asset management companies (AMCs) break this loop by purchasing nonperforming loans at their long-run recovery values, thereby fixing the effective default rate that banks face. Government purchases of performing loans expand credit but leave this feedback intact. In a model calibrated to the eurozone, the AMC reduces quarterly default rates by 0.8 percentage points, lowers lending rates by 1.6 percentage points, and raises welfare by 0.2%. Government purchases crowd out bank deposits, contracting credit; default rates rise by 1.8 percentage points, lending rates increase by 1.2 percentage points, and welfare falls by 0.3%.
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Homeowners insurance and the transmission of monetary policy
We document a novel transmission channel of monetary policy through the homeowners insurance market. On average, contractionary monetary policy shocks result in higher homeowners insurance prices. Using granular data on insurers’ balance sheets, we show that this effect is driven by the interaction of financial frictions and the interest rate sensitivity of investment portfolios. Specifically, rate hikes reduce the market value of insurers’ assets, tightening insurers’ balance sheet constraints and increasing their shadow cost of capital. These frictions in insurance supply amplify the effects of monetary policy on real estate and mortgage markets by making housing less affordable. We find that monetary policy shocks have a stronger impact on home prices and mortgage applications when local insurers are more sensitive to interest rates. This channel is particularly pronounced in areas where households face high climate risk exposure. Our findings highlight the role of insurance markets in amplifying macroeconomic shocks and the interconnections between homeowners insurance, residential real estate, and mortgage lending.
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