Digitalni euro
Eurosistem se pripravlja na morebitno izdajo digitalnega eura, ki bo dopolnjeval fizično gotovino.
GOVOR
15. oktober 2026
Zagotavljanje odpornosti v negotovih časih
Svet vsak dan postaja vse bolj kompleksen, bolj medsebojno povezan in bolj negotov, pravi član Izvršilnega odbora Frank Elderson. V takšnem okolju morajo banke krepiti odpornost in se zadostno pripraviti na nepričakovana presenečenja.
Eldersonov govor
GOVOR
13. oktober 2026
UI in priložnosti za Evropo
Evropi lahko umetna inteligenca (UI) prinese številne koristi, je glavni ekonomist Philip R. Lane dejal na mednarodnem vrhu o UI v Dublinu. Toda prednosti bo mogoče izkoristiti le z ukrepanjem širokega kroga akterjev v podporo trajnostni transformaciji gospodarstva.
Lanov govor
BLOG ECB
8. oktober 2026
Zakaj bi morale ECB brigati neenake posledice podnebnih sprememb?
Podnebne spremembe in prehod v ogljično nevtralno gospodarstvo ne vplivajo na vse enako. Distribucijski učinki podnebnih sprememb in zelenega prehoda lahko postanejo pomembni za cenovno in finančno stabilnost.
Prispevek na blogu ECB- 13 October 2026
- WEEKLY FINANCIAL STATEMENTEnglishOTHER LANGUAGES (22) +Annexes
- 13 October 2026
- WEEKLY FINANCIAL STATEMENT - COMMENTARY
- 8 October 2026
- MONETARY POLICY ACCOUNT
- 7 October 2026
- WEEKLY FINANCIAL STATEMENTEnglishOTHER LANGUAGES (22) +Annexes
- 7 October 2026
- WEEKLY FINANCIAL STATEMENT - COMMENTARY
- 7 October 2026
- PRESS RELEASEAnnexes
- 7 October 2026
- OTHER PUBLICATION
- 7 October 2026
- SURVEY ON CREDIT TERMS AND CONDITIONS IN EURO-DENOMINATED SECURITIES FINANCING AND OTC DERIVATIVES MARKETS
- 2 October 2026
- GOVERNING COUNCIL DECISIONS - OTHER DECISIONSEnglishOTHER LANGUAGES (23) +
- 14 October 2026
- Keynote speech by Frank Elderson, Member of the Executive Board of the ECB and Vice-Chair of the Supervisory Board of the ECB, at the ECB-Bank of England Conference on supervising climate risk in a non-linear world
- 13 October 2026
- Dinner remarks by Philip R. Lane, Member of the Executive Board of the ECB, at The International AI Summit
- 6 October 2026
- Contribution by Frank Elderson, Vice-Chair of the Supervisory Board of the ECB and Member of the Executive Board of the ECB, to the panel discussion “Effective Supervision and Enforcement” at the 17th FMA Supervisory Conference on “Europe’s Financial Future: Sovereignty and Resilience”
- 6 October 2026
- Speech by Piero Cipollone, Member of the Executive Board of the ECB, MNI Connect Webcast
- 5 October 2026
- Keynote speech by Philip R. Lane, Member of the Executive Board of the ECB, at the ECB Conference on Monetary Policy 2026: bridging science and practice
- 8 October 2026
- Interview with Piero Cipollone, Member of the Executive Board of the ECB, conducted by Daniele Manca on 23 September 2026
- 6 October 2026
- Interview with Philip R. Lane, Member of the Executive Board of the ECB, conducted by Domenico Conti on 1 October 2026
- 30 September 2026
- Interview with Christine Lagarde, President of the ECB, conducted by Jean-Claude Bourbon and Marie Dancer on 16 and 28 September 2026
- 22 September 2026
- Interview with Philip R. Lane, Member of the Executive Board of the ECB, conducted by Sébastien Ruche on 15 September 2026
- 18 September 2026
- Interview with Boris Vujčić, Vice-President of the ECB, conducted by Francesco Canepa on 16 September 2026
- 8 October 2026
- Climate change and the transition to a carbon-neutral economy do not affect everyone equally. This blog explores how the distributional effects of climate change and the transition can become relevant for price and financial stability.Details
- JEL Code
- E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
G20 : Financial Economics→Financial Institutions and Services→General
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
- 6 October 2026
- AI has the potential to reshape the euro area economy. This ECB Blog post explores how AI investments are being financed, focusing on the current financing mix of the most AI-intensive sectors and the consequences for monetary policy.Details
- JEL Code
- D20 : Microeconomics→Production and Organizations→General
- 2 October 2026
- AI can reshape our economies. The ECB Blog explores the financing of AI investment in two posts. In this one we show that firms expect to rely overwhelmingly on their own resources to finance the transition.Details
- JEL Code
- D20 : Microeconomics→Production and Organizations→General
- 24 September 2026
- Speeches and interviews given by policymakers between ECB Governing Council meetings can move financial markets just as much as the monetary policy decisions themselves. This blog shows how they can also help measure the effects of monetary policy on euro area inflation and unemployment.Details
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 15 September 2026
- Around 80% of euro area households do not own stocks or any other market-based financial instruments, unlike their counterparts in the United States. This blog post examines the barriers that keep many Europeans from investing and explores ways to broaden capital market participation.Details
- JEL Code
- G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G51 : Financial Economics
- 16 October 2026
- OTHER PUBLICATION
- 15 October 2026
- WORKING PAPER SERIES - No. 3301Details
- Abstract
- We study how frictions impact haircut setting in repo markets. Using transaction-level supervisory data and exploiting the 2021 introduction of the binding leverage ratio requirement, we show that three frictions jointly shape haircuts in the bilateral dealer-to-client segment: dealer balance sheet constraints, collateral convenience yields, and client outside options. In collateral-driven repos, binding leverage constraints and broader client outside options both raise haircuts, while higher convenience yields push them down. In funding-driven trades, the leverage constraint has no effect, higher convenience yields raise haircuts through the rehypothecation channel, and broader client outside options lower them. We rationalise these patterns in a bilateral bargaining model with periodic haircut renegotiation. Consistent with the model, constrained dealers exhibit higher repo-rate volatility and weaker pass-through of ECB policy rate changes in the collateral-driven segment. Post-crisis bank regulation thus carries potential unintended consequences for repo market functioning and the transmission of monetary policy.
- JEL Code
- C78 : Mathematical and Quantitative Methods→Game Theory and Bargaining Theory→Bargaining Theory, Matching Theory
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 15 October 2026
- WORKING PAPER SERIES - No. 3300Details
- Abstract
- Holding limits are a central design feature of proposed retail central bank digital currencies (CBDC). While such limits mechanically prevent individuals from exceeding a maximum balance, they may also generate behavioral responses whose directions are a priori unclear. We conducted an incentivized online experiment with participants from four euro-area countries, exogenously varying the presence and level of a holding limit to causally separate direct mechanical effects from behavioral effects. We find that behavioral responses increase holdings of the means of payment subject to the holding limit, consistent with an attraction effect. This effect is material only when the limit is high enough. Enabling reverse waterfall —automatic conversion into this limited means of payment— increases adoption while reducing holdings. These results suggest that combining holding limits with automatic funding mechanisms can support CBDC use while containing holdings, thereby helping to mitigate potential financial stability risks.
- JEL Code
- E42 : Macroeconomics and Monetary Economics→Money and Interest Rates→Monetary Systems, Standards, Regimes, Government and the Monetary System, Payment Systems
C91 : Mathematical and Quantitative Methods→Design of Experiments→Laboratory, Individual Behavior
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 15 October 2026
- OTHER PUBLICATION
- 14 October 2026
- WORKING PAPER SERIES - No. 3299Details
- Abstract
- How does heterogeneity in banks’ interest-rate risk exposure shape monetary policy transmission? We develop a quantitative macroeconomic model of heterogeneous banks to answer this question. We establish an irrelevance result: differences in interest-rate risk exposure between fixed- and variable-rate banking systems matter for transmission only when bank solvency concerns become relevant. Calibrating the model to the euro area, we show that idiosyncratic default risk pushes a substantial share of banks toward the solvency threshold, making heterogeneity quantitatively important. When policy rates rise, fixed-rate banks suffer net interest margin compression—funding costs increase while legacy loan income stays unchanged—eroding capital and triggering sharper deleveraging. The lending elasticity to monetary policy is one-third larger in fixed-rate economies. The effects extend to financial stability: tightening raises bank failure rates in fixed-rate systems while lowering them in variable-rate systems. The results provide a rationale for macroprudential and monetary policy coordination and for monetary policy gradualism.
- JEL Code
- E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation - Network
- Challenges for Monetary Policy Transmission in a Changing World Network (ChaMP)
- 14 October 2026
- WORKING PAPER SERIES - No. 3298Details
- Abstract
- We introduce a novel measure of how European Central Bank (ECB) monetary policy is interpreted by analysts at major investment banks. We construct a “policy interpretation shock” based on the language used in analysts’ reports covering monetary policy decisions by the ECB’s Governing Council (GovC). The main identifying assumption is that changes in the way analysts report on policy communication by the GovC—that is, the change in the policy tone from the preview report to the recap report—reflect unexpected information revealed by the policy event. Using GPT-based sentiment extraction, we show that the tone in these reports closely tracks that of the GovC, often even anticipating shifts in tone. Changes in the policy tone before and after meetings capture how market intermediaries interpret and adjust their assessment of policy decisions. These interpretation shocks are followed by contractionary macroeconomic responses and systematic movements in financial-market prices. These findings underscore the important role of communication in shaping expectations and influencing economic outcomes.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
- 12 October 2026
- WORKING PAPER SERIES - No. 3297Details
- Abstract
- Fiscal integration in a currency union is generally understood as a transfer from fiscally strong to fiscally weak countries. I show that this changes when common debt is paired with a non-defaultable common tax, even if national debt remains defaultable. The risky country gains from intertemporal trade: it receives a grant financed by a perpetual obligation it discounts more heavily than lenders do. The cost to the safe member is second-order and the tax removes it by insuring imperfectly correlated cycles rather than transferring resources in expectation. The calibration delivers a narrow Pareto-improving region: the tax that eliminates the risky country’s perverse incentive to default is negligible, while the tax that compensates the safe country is an order of magnitude larger. Joint spending on a public good expands the region and reverses that ordering: the safe country gains even before the common budget balances.
- JEL Code
- F34 : International Economics→International Finance→International Lending and Debt Problems
F36 : International Economics→International Finance→Financial Aspects of Economic Integration
F45 : International Economics→Macroeconomic Aspects of International Trade and Finance
H63 : Public Economics→National Budget, Deficit, and Debt→Debt, Debt Management, Sovereign Debt
H87 : Public Economics→Miscellaneous Issues→International Fiscal Issues, International Public Goods - Network
- ECB Lamfalussy Fellowship Programme
- 12 October 2026
- SURVEY OF MONETARY ANALYSTS
- 8 October 2026
- RESEARCH BULLETIN - No. 147Details
- Abstract
- The impact of private equity buyouts on target firms is well documented, yet empirical evidence on the impact of buyouts across the supply chain remains scarce. We address this gap by using unique production network data to examine how supply chains contribute to the ability of private equity investors to create and extract value. We show that, on average, suppliers of firms backed by private equity outperform their peers because of increased demand for inputs from customers backed by private equity – rather than alternative mechanisms such as knowledge spillovers. In contrast, during economic downturns, while firms backed by private equity outperform their peers even more strongly, their suppliers show no signs of outperformance. This can be attributed to private equity investors exerting greater pressure on suppliers and more actively reconfiguring supply chains to achieve cost-savings for their portfolio companies during periods of economic distress. Finally, beyond their impact on suppliers, we also show that private equity buyouts create crowding-out effects for competitors that rely on common suppliers.
- JEL Code
- D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
G34 : Financial Economics→Corporate Finance and Governance→Mergers, Acquisitions, Restructuring, Corporate Governance
- 7 October 2026
- WORKING PAPER SERIES - No. 3296Details
- Abstract
- This paper develops novel firm-level measures of shareholder geographical concentration and examines how elevated home bias in equity holdings affects investment resilience in the euro area. We combine security-level holdings data from the ECB’s Securities Holdings Statistics (SHS-S) with firm-level financial-statement data from Compustat, and document that equity ownership remains strongly concentrated domestically, with limited cross-border diversification within the monetary union. Using a difference-in-differences design around the COVID-19 shock, combined with a propensity score matching approach, we then analyse whether equity home bias shapes firms’ responses to macroeconomic disruptions. Against an average 16% decline in exports among the firms in the sectors most affected by the pandemic, those with more concentrated, home-biased shareholder bases reduced investment by 20% more than their more diversified peers after the shock. The effect operates mainly through weaker equity resilience, with equity declining by 13%, while sales and bank financing remain comparable. Our findings highlight the benefits of deeper cross-border equity integration for corporate resilience.
- JEL Code
- F36 : International Economics→International Finance→Financial Aspects of Economic Integration
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
G15 : Financial Economics→General Financial Markets→International Financial Markets
D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
- 7 October 2026
- WORKING PAPER SERIES - No. 3295Details
- Abstract
- We introduce two indicators to track the build-up of vulnerabilities in the euro area banking sector on a quarterly basis by leveraging the information collected in EU-wide solvency stress tests. First, we introduce an indicator of conditional capital depletion, the Stress Vulnerability Index (SVI), which quantifies potential losses under adverse scenarios when tail credit risk is highest. Second, we introduce an indicator of earnings vulnerability, the Profitability Vulnerability Index (PVI), which assesses the capacity of the banking sector to generate capital organically. While the two indices spike synchronously during systemic crises, they can also decouple. We show that this occurs when tail risks to capital subside but earnings remain compressed, or conversely, when recessionary fears mount while current profitability strengthens. These divergences provide actionable signals for macroprudential policy by distinguishing between the accumulation of solvency risks and the impairment of loss absorption capacity. In doing so, the indices support decisions on the activation, build-up, stability or release of prudential buffers. We validate the usefulness of the indicators by showing that both indicators were strongly associated with the probability that euro area banks received state aid in the aftermath of the Great Financial Crisis.
- JEL Code
- E61 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Policy Objectives, Policy Designs and Consistency, Policy Coordination
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 7 October 2026
- OTHER PUBLICATION
- 6 October 2026
- OCCASIONAL PAPER SERIES - No. 400Details
- Abstract
- After the global financial crisis, all EU countries have developed within their jurisdictions a dedicated macroprudential pillar of financial oversight, in line with EU regulations and recommendations. However, governance structures differ, reflecting country-specific rationales and path-dependent choices. This paper provides an overview of the various institutional and operational frameworks for macroprudential policy in EU countries. This overview aims to deliver insights on the key aspects of these frameworks and their impact on the use of macroprudential policy. The analysis is based on i) a literature review, ii) a stocktaking exercise based on a survey among EU Member States and iii) country deep dives.
- JEL Code
- G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 5 October 2026
- WORKING PAPER SERIES - No. 3294Details
- Abstract
- This paper investigates the information content of the term structure of inflation risks and its usefulness for understanding inflation dynamics. Using prices of traded zero-coupon inflation caps and floors, we develop a robust non-parametric methodology, combined with a Student’s t-copula, to estimate spot and forward risk-neutral densities at short-, medium-, and long-term horizons, i.e., long-horizon risks are identified from liquid instruments alone, at daily frequency, without forward-starting contracts. Focusing on the euro area over 2009-2026, we show that the term structure of inflation risks provides valuable information about the persistence of inflation shocks and the degree to which changes in the inflation outlook become embedded at longer horizons. We also show that there is marked heterogeneity in the macroeconomic and financial conditions associated to inflation risks across horizons: short- and medium-term risks are mainly associated with current inflation, confidence indicators, commodity prices, and near-term macroeconomic risks, whereas long-term risks are more strongly related to monetary and financial conditions. These findings highlight the importance of analysing the entire term structure of inflation risks rather than relying on a single maturity.
- JEL Code
- G13 : Financial Economics→General Financial Markets→Contingent Pricing, Futures Pricing
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
- 5 October 2026
- WORKING PAPER SERIES - No. 3293Details
- Abstract
- Leveraging the unique setting of unilateral euroisation, this paper examines the spillover effects of euro area monetary policy on Montenegro and Kosovo. Through the lens of a structural VAR model with block exogeneity, it shows that euro area monetary policy shocks can significantly influence output and inflation in these economies, albeit with a delayed response, while contributing only modestly to their overall business cycle fluctuations.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 1 October 2026
- WORKING PAPER SERIES - No. 3292Details
- Abstract
- High-frequency interest rate surprises around Fed announcements do not identify monetary policy (MP) shocks if markets are imperfectly informed. Instead, they can also reflect central bank information (CBI) shocks, when the Fed assesses the economy differently, and Fed-response-to-news (FRN) shocks, when markets misperceive the policy rule. The literature treats these as competing explanations; we show they are distinct, and jointly identify all three from the co-movement of interest rate and equity surprises, their predictability from public news, and heteroskedasticity between FOMC and non-FOMC communication. CBI effects are robust at daily and monthly frequencies; FRN matters only daily. Purging both strengthens monetary policy estimates.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 1 October 2026
- WORKING PAPER SERIES - No. 3291Details
- Abstract
- This study applies a Local Linear Forest (LLF) for wage forecasting in France. The LLF outperforms benchmarks such as Random Walk (RW), Ridge Regressions (RR) and Random Forests (RF). We also show that adding foreign predictors (i.e. measures of real activity, price and wage pressures from Germany and Italy) to French economic variables significantly improves wage predictions in France. The implications of our results are that wage dynamics in France exhibit non-linearity, to a certain extent, and that the better ability of LLFs relative to RFs to fit smooth signals is a valuable feature, especially at times in which wage growth reaches unprecedented levels from an historical perspective.
- JEL Code
- C45 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Neural Networks and Related Topics
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
J30 : Labor and Demographic Economics→Wages, Compensation, and Labor Costs→General
- 29 September 2026
- LEGAL ACT
- 29 September 2026
- LEGAL ACT
- 25 September 2026
- WORKING PAPER SERIES - No. 3290Details
- Abstract
- Macroeconomic policy increasingly requires assessments of risk rather than point forecasts alone. This paper develops a framework to compute impulse responses for scenario probabilities and the full predictive distribution of macroeconomic outcomes. The approach combines a regime-dependent mixture VAR with endogenous state probabilities and heteroskedastic shock identification, complemented by sparse sign and narrative restrictions. Applied to the euro area and U.S., the framework addresses a central policy question following the outbreak of the 2026 Iran war: do geopolitical shocks imply a return to the risk profile observed after Russia’s invasion of Ukraine, or is this time different? Results show that shocks differ not only in their effects on expected outcomes, but also in how they reshape scenario probabilities, tail risks, and transitions into high-volatility states.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C34 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Truncated and Censored Models, Switching Regression Models
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
Obrestne mere
| Mejni depozit | 2,50 % |
| Operacije glavnega refinanciranja (fiksna obrestna mera) | 2,65 % |
| Mejno posojilo | 2,90 % |
Stopnja inflacije
Več o inflacijiDevizni tečaji
| USD | US dollar | 1.1253 | |
| JPY | Japanese yen | 177.82 | |
| GBP | Pound sterling | 0.84385 | |
| CHF | Swiss franc | 0.9272 |
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Kaj je Evropska centralna banka?