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ECB - European Central Bank
Latest releases on the ECB website - Press releases, speeches and interviews, press conferences.

  • Word2Prices: embedding central bank communications for inflation prediction
    Word embeddings are vectors of real numbers associated with words, designed to capture semantic and syntactic similarity between the words in a corpus of text. We estimate the word embeddings of the European Central Bank’s introductory statements at monetary policy press conferences by using a simple natural language processing model (Word2Vec), only based on the information and model parameters available as of each press conference. We show that a measure based on such embeddings contributes to improve core inflation forecasts multiple quarters ahead. Other common textual analysis techniques, such as dictionary-based metrics or sentiment metrics do not obtain the same results. The information contained in the embeddings remains valuable for out-of-sample forecasting even after controlling for the central bank inflation forecasts, which are an important input for the introductory statements.

  • Geopolitical risk and its implications for macroprudential policy
    This article explores the link between geopolitical risk and bank solvency and discusses the potential implications for macroprudential policy. Drawing on 120 years of data, analysis reveals that heightened geopolitical risk has been associated with lower bank capitalisation over the past century. This effect can arise through multiple economic and financial channels, including reduced economic activity, surging inflation, increased sovereign risk, and shifts in capital flows and asset prices. However, the analysis also finds that the impact of geopolitical risk on bank solvency has been non-linear, with major geopolitical risk events having a much stronger effect than less major or more localised geopolitical shocks, with the effect being heterogenous across countries. Macroprudential policy and microprudential supervision play important and complementary roles in ensuring that banks are sufficiently prepared to absorb potential geopolitical shocks. While microprudential supervision ensures that geopolitical risk is factored into capital and liquidity planning, macroprudential capital buffer requirements can be released when shocks materialise, thereby supporting banks in absorbing losses while maintaining the provision of key financial services to the real economy.

  • Effects of monetary policy on labor income: the role of the employer
    This paper investigates the role of firms in the transmission of monetary policy to individual labor market outcomes, both the intensive and extensive margins. Using German matched employer-employee administrative data, we study the effects of monetary policy shocks on individual employment and labor income conditioning on the firm characteristics. First, we find that the employment of workers in young firms are especially sensitive to monetary policy shocks. Second, wages of workers in large firms react relatively more, with some pronounced asymmetries: differences between large and small firms are more evident during monetary policy easing. The differential wage response is driven by above-median workers and cannot be fully explained by a worker component. Notably, larger firms adjust wages more significantly despite experiencing similar changes in investment and turnover compared to smaller firms. Furthermore, monetary policy tightening disproportionately impacts low-skilled and low-wage earners, while easings amplify inequality due to substantial wage increases for top earners. Overall, the effect of monetary policy on inequalities is however larger in easing periods – driven by a large increase in wages for top earners.

  • The impact of regional institutional quality on economic growth and resilience in the EU
    This paper investigates the impact of regional institutional quality on economic growth and economic resilience. Using data collected by the Quality of Government Institute, we conduct a two-way fixed effect panel regression model for around 200 European regions during the period 2010 to 2021. Our findings establish a positive relationship between institutional quality and medium-term GDP growth. This effect is more pronounced in regions with low-income per capita, highlighting the importance of asymmetries across European regions. A convergence of regions with low institutional quality to the EU median would increase annual GDP per capita growth by 0.5 percentage points over the medium-term. Additionally, regions with high quality institutions are more resilient to adverse shocks and have a lower incidence of crisis. Our results suggest that regional institutional reforms, such as increasing public sector efficiency or reducing corruption, would spur growth, resilience, and convergence in the European economy.

  • Private safe-asset supply and financial instability
    This paper analyzes the private production of safe assets and its implications forfinancial stability. Financial intermediaries (FIs) originate loans, exert hidden effort toimprove loan quality, and create safe assets by issuing debt backed by the safe paymentsfrom (i) their own loans and (ii) a diversified pool of loans from all intermediaries. Ishow that the interaction between effort and diversification decisions determines theaggregate level of safe assets produced by FIs. In the context of incomplete markets, Iidentify a free-rider problem: individual FIs fail to internalize how their effort influencesthe ability to generate safe assets through diversification, since the latter depends onthe collective effort of all FIs. This market failure generates a novel inefficiency, thatworsens as the scarcity of safe assets increases. The public provision of safe assetshelps mitigate this inefficiency by reducing their scarcity, but it cannot fully resolve it.Moreover, the impact on the total private supply of safe assets is ambiguous: public safeassets reduce incentives for diversification (crowding-out effect), which in turn increasesFIs’ incentives to exert effort (the crowding-in effect).

  • Macroprudential and monetary policy tightening: more than a double whammy?
    We investigate the interaction between monetary and macroprudential policy in affecting banks’ lending and risk-taking behaviour using rich euro area credit registry data and exploiting a unique setting that combined a sharp and unexpected monetary tightening with a wave of macroprudential tightening initiated before. While, for the average bank, required capital buffer increases did not significantly reduce lending additionally during the monetary tightening, for those banks that became capital-constrained lending fell by about 1.3-1.8 percentage points more for existing credit relationships and new bank-firm relationships were 2.5-4.4 percentage points less likely to be established, both relative to better-capitalized banks. In addition, such banks were more reluctant to pass higher policy interest rates on to their borrowers and took fewer risks, with a greater reduction in the LTV ratio for newly originated loans, and less reliance on risky assets, such as commercial real estate, as collateral. Our analysis shows that when calibrating monetary and macroprudential policies, it is crucial to account for the effects of policy interactions and the role of bank heterogeneity.

  • Creditworthy: do climate change risks matter for sovereign credit ratings?
    Do sovereign credit ratings take into account physical and transition climate risks? This paper empirically addresses this question using a panel dataset that includes a large sample of countries over two decades. The analysis reveals that higher temperature anomalies and more frequent natural disasters—key indicators of physical risk—are associated with lower credit ratings. In contrast, transition risk factors do not appear to be systematically integrated into credit ratings throughout the entire sample period. However, following the Paris Agreement, countries with greater exposure to natural disasters received comparatively lower ratings, suggesting that credit rating agencies are increasingly recognizing the significance of physical risk for sovereign balance sheets. Additionally, more ambitious CO2 emission reduction targets and actual reductions in CO2 emission intensities are associated with higher ratings post-Paris Agreement, indicating that credit rating agencies are beginning to pay more attention to transition risk. At the same time, countries with high levels of debt and those heavily reliant on fossil fuel revenues tend to receive lower ratings after the Paris Agreement. Conversely, sovereigns that stand to gain from the green transition—through revenues from transition-critical materials—are assigned higher sovereign ratings after 2015.

  • The expert’s edge? Bank lending specialization and informational advantages for credit risk assessment
    We examine whether loan portfolio sectoral specialization provides informational advantages to banks, enabling better credit risk assessment. Using euro area credit register data, we compare probabilities of default assigned by specialized and non-specialized banks to the same borrowing firm several quarters before the borrower defaults. We find that banks specialized in the borrower’s sector are better in predicting future defaults. This is mostly driven by specialized banks actively raising probabilities of default earlier, not by higher probabilities of default when loans are issued. As a result, specialized banks also increase provisions to these borrowers. We do not observe differences in credit risk assessment towards healthy borrowers, suggesting that the effect is not attributable to general conservatism but to more accurate evaluation of credit risk in the sectors of banks’ specialization. Our results are more pronounced for smaller firms and when banks do not have long-term relationships with their defaulting borrowers.

  • Filling the gap: the geographical allocation of euro area portfolio investment liabilities and related income
    This paper presents the estimation method used to break down the euro area portfolio investment liabilities in the international investment position (i.i.p.) and their corresponding income debits in the balance of payments (b.o.p.), by main geographical counterpart. Identifying non-resident investors in euro area portfolio investment liabilities (i.e. equity and debt securities issued by euro area residents) is a complex task, as securities are regularly traded in secondary markets and held via custodians and other financial intermediaries. Consequently, identifying the actual holders of euro area securities may be hampered by so-called “first-known counterparty” and/or “custodial” biases if statisticians cannot look through the chain of intermediaries. Owing to these difficulties, the geographical counterpart allocation of euro area portfolio investment liabilities cannot generally be directly collected from reporting agents (i.e. the issuers of euro area securities) but instead needs to be estimated. The estimation method presented in this document relies on a comprehensive set of so-called “mirror” datasets (i.e. information on the holders of euro area securities) supported by temporal disaggregation and econometric techniques. The results provide robust estimates of portfolio investment liabilities and income debits by geographical counterpart.

  • Economic Bulletin Issue 2, 2025


  • Liquidity conditions and monetary policy operations from 23 October 2024 to 4 February 2025
    This box describes the Eurosystem liquidity conditions and monetary policy operations in the seventh and eighth reserve maintenance periods of 2024, from 23 October 2024 to 4 February 2025.

  • Insights from banks and firms on euro area credit conditions: a comparison based on ECB surveys
    This box examines euro area credit conditions from the perspective of banks and firms. The analysis uses data from the bank lending survey and the survey on the access to finance of enterprises. By offering qualitative insights into credit supply and demand, these surveys complement hard data in analysing how monetary policy is transmitted to firms through banks. The respective survey findings confirm that the general economic outlook and firm-specific conditions are significant factors affecting credit standards and the availability of bank loans. Although the surveys evaluate bank loan demand from different angles, both surveys indicate subdued demand developments in 2024. Furthermore, the latest data for both surveys, covering the fourth quarter of 2024, signal persistently weak loan demand, despite declining interest rates, and a renewed tightening of bank credit supply to firms in the euro area.

  • Understanding the relative development of goods and services inflation
    Historically, stronger dynamics in services prices than in non-energy industrial goods (NEIG) prices have led to a persistent positive gap between services and NEIG inflation rates. However, the relative price of goods versus services rose rapidly in 2021-2022 before subsequently falling back. This box reviews this episode and examines whether the pre-pandemic trend in this relative price development provides a good benchmark for future developments, also taking into account the potential impact of structural factors related to deglobalisation, digitalisation, demographic trends and climate change.

  • Using corporate earnings calls to forecast euro area labour demand
    This box explores the use of corporate earnings calls as a novel, high-frequency source of data for nowcasting and forecasting labour demand in the euro area. Labour demand has started to show signs of cooling following its post-pandemic peak. By applying textual analysis to transcripts of earnings calls, we construct an indicator that correlates strongly with the euro area job vacancy rate. This metric enables us to produce timely forecasts ahead of official data releases. Utilising a mixed data sampling (MIDAS) regression approach, we use this indicator to forecast the job vacancy rate. We also produce forecasts based on Indeed online job posting data. Our findings indicate a sustained moderation in labour demand, suggesting that the job vacancy rate will hover at around 2.5% through mid-2025. This method makes assessments of labour demand both more timely and more accurate.

  • The increasing energy demand of artificial intelligence and its impact on commodity prices
    The use of artificial intelligence (AI) models has grown rapidly in recent years. This box explores how these models could affect energy demand in the future. Over the period from 2022 to 2026, the AI-related rise in global electricity consumption is projected to equal around 4% of the EU’s total electricity consumption and is likely to be met by either natural gas power plants or renewables. While this increase is significant in absolute terms, it is expected to have a limited impact on gas prices given the vast size of global natural gas markets. By contrast, the fragmented nature of national electricity markets means these markets are more vulnerable to AI-driven price pressures.


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