RESEÑA
22 de agosto de 2024
Reseña de la reunión de política monetaria de julio
Los miembros del Consejo de Gobierno consideraron que el descenso solo gradual de la inflación requería prudencia en la respuesta de política monetaria. Esto respaldó una pausa en la reunión de julio. El Consejo de Gobierno reiteró que no debía comprometerse de antemano con ninguna senda concreta de tipos.
Lee la reseña
EL BLOG DEL BCE
15 de agosto de 2024
Cómo ven los consumidores las subidas de los tipos de interés
¿Con qué rapidez reaccionan los consumidores a las subidas de tipos? Depende en parte de sus conocimientos sobre asuntos financieros. Los datos muestran que cuanto mejor informados están, más rápido reaccionan. El blog del BCE explica.
Leer el blog del BCE
PÓDCAST
17 de agosto de 2024
Pódcast del BCE: escuela de verano #2
¿Cómo es un día en la vida de un inspector de entidades de crédito? ¿Por qué a casi nadie le importa su trabajo hasta que algo va mal? Nuestra presentadora Stefania Secola conversa sobre estos y otros temas con Ramón Quintana Aguirre, encargado de supervisar a los principales bancos de la zona del euro.
Escucha el pódcast- 28 August 2024
- MONETARY DEVELOPMENTS IN THE EURO AREAAnnexes
- 28 August 2024
- MONETARY DEVELOPMENTS IN THE EURO AREA
- 27 August 2024
- WEEKLY FINANCIAL STATEMENTEnglishOTHER LANGUAGES (22) +Annexes
- 27 August 2024
- WEEKLY FINANCIAL STATEMENT - COMMENTARY
- 23 August 2024
- PRESS RELEASE
- 22 August 2024
- MONETARY POLICY ACCOUNTRelated
- 18 July 2024
- MONETARY POLICY DECISIONEnglishOTHER LANGUAGES (23) +
- 20 August 2024
- WEEKLY FINANCIAL STATEMENTEnglishOTHER LANGUAGES (22) +Annexes
- 20 August 2024
- WEEKLY FINANCIAL STATEMENT - COMMENTARY
- 24 August 2024
- Contribution by Philip R. Lane, Member of the Executive Board of the ECB, to the panel on “Reassessing the effectiveness and transmission of monetary policy” at the Federal Reserve Bank of Kansas City Economic Symposium
- 23 July 2024
- Welcome address by Philip R. Lane, Member of the Executive Board of the ECB, at the Joint ECB-IMF-IMFER Conference 2024
- 18 July 2024
- Christine Lagarde, President of the ECB, Luis de Guindos, Vice-President of the ECB, Frankfurt am Main, 18 July 2024EnglishOTHER LANGUAGES (23) +Related
- 18 July 2024
- 18 July 2024
- EnglishOTHER LANGUAGES (23) +
- 4 July 2024
- Keynote speech by Piero Cipollone, Member of the Executive Board of the European Central Bank, at the National Conference of Statistics on official statistics at the time of artificial intelligence
- 4 July 2024
- Slides by Philip R. Lane, Member of the Executive Board of the ECB, at the Master in Economics and Finance (MEF) 2024 Lecture in Naples
- 26 July 2024
- Interview with Isabel Schnabel, Member of the Executive Board of the ECB, conducted by Christian Siedenbiedel on 22 July 2024
- 23 July 2024
- Interview with Luis de Guindos, Vice-President of the ECB, conducted by Sergio Rivas
- 11 June 2024
- Interview with Christine Lagarde, President of the ECB, conducted by Andrés Stumpf, Stefan Reccius, Isabella Bufacchi, Guillaume Benoit and Alexandre Counis in Paris on 7 June 2024
- 27 May 2024
- Interview with Philip R. Lane, Member of the Executive Board of the ECB, conducted by Martin Arnold on 24 May 2024
- 24 May 2024
- Interview with Isabel Schnabel, Member of the Executive Board of the ECB, conducted by Steffen Clement on 16 May 2024
- 15 August 2024
- How quickly do consumers react to rate hikes? The answer depends in part on how much they know about financial matters. This ECB Blog post shows that the better informed they are, the quicker their reaction.Details
- JEL Code
- D10 : Microeconomics→Household Behavior and Family Economics→General
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
E20 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→General
E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
D83 : Microeconomics→Information, Knowledge, and Uncertainty→Search, Learning, Information and Knowledge, Communication, Belief
- 31 July 2024
- Central banks choose their words very carefully. And rightly so – policy makers’ wording can move markets and, eventually, the economy. This ECB Blog post shows how unexpected changes in communication influence growth and inflation.Details
- JEL Code
- E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
E59 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Other
- 23 July 2024
- Repo markets are vital for banks to source liquidity and securities. They also represent an essential link in the monetary policy transmission chain. While the Eurosystem is in the process of reducing its market footprint, repo markets are going through a phase of change. The ECB Blog looks at dynamics in this market.Details
- 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
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 10 July 2024
- The green transition will significantly increase demand for key minerals over the coming decades. The impact on energy prices will ultimately depend on how supply adjusts. The ECB Blog looks at the geopolitical risks involved.Details
- JEL Code
- D43 : Microeconomics→Market Structure and Pricing→Oligopoly and Other Forms of Market Imperfection
F51 : International Economics→International Relations, National Security, and International Political Economy→International Conflicts, Negotiations, Sanctions
F55 : International Economics→International Relations, National Security, and International Political Economy→International Institutional Arrangements
- 4 July 2024
- Firms’ inflation expectations are key for monetary policy makers. The ECB Blog presents new survey data on these expectations, evidence on what influences them, how they change when new information becomes available, and if they matter for the plans and choices firms make.Details
- JEL Code
- D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
D81 : Microeconomics→Information, Knowledge, and Uncertainty→Criteria for Decision-Making under Risk and Uncertainty
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
- 28 August 2024
- WORKING PAPER SERIES - No. 2977Details
- Abstract
- We build a model of the aggregate housing and rental markets in which houseprices and rents are determined endogenously. Households can choose their housingtenure status (renters, homeowners, or landlords) and the size of their homes dependingon their age, income and wealth. We use our model to study the impact of changesin credit conditions on house prices, rents and household welfare. We analyse theintroduction of policies that limited loan-to-value (LTV) and loan-to-income (LTI) ratiosof newly originated mortgages in Ireland in 2015 and find that, consistent with empiricalevidence, they mitigate house price growth but increase rents. Homeownership ratesdrop, and young and middle-income households are negatively affected by the reform.An unexpected permanent rise in real interest rates has similar effects – by makingmortgages more expensive and alternative investments more attractive for landlords, itincreases rents relative to house prices.
- JEL Code
- D15 : Microeconomics→Household Behavior and Family Economics
E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
E30 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→General
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
G51 : Financial Economics
- 27 August 2024
- WORKING PAPER SERIES - No. 2976Details
- Abstract
- We use 25 years of tax records for the Norwegian population to study the mobility of wealth over people’s lifetimes. We find considerable wealth mobility over the life cycle. To understand the underlying mobility patterns, we group individuals with similar wealth rank histories using agglomerative hierarchical clustering, a tool from statistical learning. The mobility patterns we elicit provide evidence of segmented mobility. Over 60 percent of the population remains at the top or bottom of the wealth distribution throughout their lives. Mobility is driven by the remaining 40 percent, who move only within the middle of the distribution. Movements are tied to differential income trajectories and business activities across groups. We show parental wealth is the key predictor of who is persistently rich or poor, while human capital is the main predictor of those who rise and fall through the middle of the distribution.
- JEL Code
- D31 : Microeconomics→Distribution→Personal Income, Wealth, and Their Distributions
E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
C23 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Panel Data Models, Spatio-temporal Models
C38 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Classification Methods, Cluster Analysis, Principal Components, Factor Models
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
- 26 August 2024
- SURVEY OF MONETARY ANALYSTS
- 21 August 2024
- WORKING PAPER SERIES - No. 2975Details
- Abstract
- Using a novel dataset linking firm level data from the Survey on Access to Finance of Enterprises (SAFE) and bank level data from the Bank Lending Survey (BLS), we explore how changes in credit standards pass through to firms at a granular level. We find that tighter credit standards decrease loan availability reported by firms, increase the likelihood they report access to finance as the worst problem and decrease their investment. After controlling for country-sector-time fixed effects that capture cyclical macroeconomic conditions, effects only remain for firms that need finance. Moreover, we find that a more diversified funding base insulates firms from the negative impacts of tighter credit standards on availability of bank loans and access to finance, although there is little evidence of such an effect forinvestment. Effects are asymmetric, with stronger impacts recorded for a tightening than an easing. Our results underscore the importance of demand conditions when interpreting the credit conditions and we thus propose a new indicator of demand adjusted credit standards at a euro area level, which can be used to analyse broader credit dynamics.
- JEL Code
- D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 14 August 2024
- WORKING PAPER SERIES - No. 2974Details
- Abstract
- We analyze how corporate reorganization and liquidation change labor reallocation during bankruptcy using randomized judge assignments and linked Portuguese employer-employee and firm data. Reorganization reduces the negative effect of bankruptcy on employee earnings, even with most workers leaving reorganized firms. We examine plausible mechanisms and find evidence that the retention of general skills and improved job-match quality contribute meaningfully to this effect. The average cost of labor misallocation caused by reorganization is small. However, for some workers in the least productive filers, this cost can be large, outweighing the effect on earnings.
- JEL Code
- G33 : Financial Economics→Corporate Finance and Governance→Bankruptcy, Liquidation
G38 : Financial Economics→Corporate Finance and Governance→Government Policy and Regulation
J24 : Labor and Demographic Economics→Demand and Supply of Labor→Human Capital, Skills, Occupational Choice, Labor Productivity
J63 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Turnover, Vacancies, Layoffs
K39 : Law and Economics→Other Substantive Areas of Law→Other
- 14 August 2024
- LEGAL ACT
- 14 August 2024
- LEGAL ACT
- 14 August 2024
- OTHER PUBLICATION
- 8 August 2024
- WORKING PAPER SERIES - No. 2973Details
- Abstract
- Monetary policy decisions by the Federal Reserve System in the US are widely recognised to have spillover effects on the rest of the world. In this paper, we focus on the asymmetric effects of US monetary policy shocks on macro-financial outcomes in emerging market economies (EMEs). We shed light on how domestic factors shape external monetary policy spillover effects using indicators on the macro-financial vulnerabilities and monetary policy stances of EMEs. We find that a surprise tightening of monetary policy in the US leads to an immediate tightening of financial conditions which leads to a decline in activity and prices in EMEs over one year. Importantly, these effects are amplified in periods of high vulnerabilities and attenuated when EMEs follow a prudent monetary policy stance. Our findings help explain the greater resilience of many EMEs to the Fed’s post-COVID-19 tightening cycle, and highlight the benefits of the broad improvements of monetary policy frameworks in these countries.
- JEL Code
- F42 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Policy Coordination and Transmission
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
- 7 August 2024
- WORKING PAPER SERIES - No. 2972Details
- Abstract
- In this paper, we investigate the presence of non-linearities in the transmission of geopolitical risk (GPR) shocks. Our methodology involves incorporating a non-linear function of the identified shock into a VARX model and examining its impulse response functions and historical decomposition. We find that the primary transmission channel of such shocks is associated with heightened uncertainty,which significantly escalates only with substantially large GPR shocks (i.e., above 4 standard deviations). This increase in uncertainty prompts precautionary saving behaviors, exerting a strong impact on consumption and reducing activity. The response of inflation is more subdued, reflecting both diminished demand and heightened uncertainty, which influence prices in opposing directions.
- JEL Code
- C30 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→General
D80 : Microeconomics→Information, Knowledge, and Uncertainty→General
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
F44 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Business Cycles
H56 : Public Economics→National Government Expenditures and Related Policies→National Security and War
- 7 August 2024
- WORKING PAPER SERIES - No. 2971Details
- Abstract
- Households' income heterogeneity is important to explain consumption dynamics in response to aggregate macro uncertainty: an increase in uncertainty generates a consumption drop that is stronger for income poorer households. At the same time, labor markets are strongly responsive to macro uncertainty as the unemployment rate and the job separation rate rise, while the job finding rate falls. A heterogeneous agent New Keynesian model with search and matching frictions in the labor market can account for these empirical findings. The mechanism at play is a feedback loop between income poorer households who, being subject to higher unemployment risk, contract consumption more in response to heightened uncertainty, and firms that post fewer vacancies following a drop in demand.
- JEL Code
- E12 : Macroeconomics and Monetary Economics→General Aggregative Models→Keynes, Keynesian, Post-Keynesian
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
J64 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Unemployment: Models, Duration, Incidence, and Job Search
- 6 August 2024
- WORKING PAPER SERIES - No. 2970Details
- Abstract
- We build a balance sheet-based model to capture run risk, i.e., a reduced potential to raise capital from liquidity buffers under stress, driven by depositor scrutiny and further fuelled by fire sales in response to withdrawals. The setup is inspired by the Silicon Valley Bank (SVB) meltdown in March 2023 and our model may serve as a supervisory analysis tool to monitor build-up of balance sheet vulnerabilities. Specifically, we analyze which characteristics of the balance sheet are critical in order for banking system regulators to adequately assess run risk and resilience. By bringing a time series of SVB’s balance sheet data to our model, we are able to demonstrate how changes in the funding and respective asset composition made SVB prone to run risk, as they were increasingly relying on heldto-maturity, aka hidden-to-maturity, accounting standards, masking revaluation losses in securities portfolios. Finally, we formulate a tractable optimisation problem to address the designation of heldto-maturity assets and quantify banks’ ability to hold these assets without resorting to remarking. By calibrating this to SVB’s balance sheet data, we shed light on the bank’s funding risk and impliedrisk tolerance in the years 2020–22 leading up to its collapse.
- JEL Code
- C62 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Existence and Stability Conditions of Equilibrium
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
- 6 August 2024
- WORKING PAPER SERIES - No. 2969Details
- Abstract
- Combining euro-area credit register and carbon emission data, we provide evidence of a climate risk-taking channel in banks’ lending policies. Banks charge higher interest rates to firms featuring greater carbon emissions, and lower rates to firms committing to lower emissions, controlling for their probability of default. Both effects are larger for banks committed to decarbonization. Consistently with the risk-taking channel of monetary policy, tighter policy induces banks to increase both credit risk premia and carbon emission premia, and reduce lending to high emission firms more than to low emission ones. While restrictive monetary policy increases the cost of credit and reduces lending to all firms, its contractionary effect is milder for firms with low emissions and those that commit to decarbonization.
- JEL Code
- 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
Q52 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Pollution Control Adoption Costs, Distributional Effects, Employment Effects
Q53 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Air Pollution, Water Pollution, Noise, Hazardous Waste, Solid Waste, Recycling
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
Q58 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Government Policy
- 5 August 2024
- WORKING PAPER SERIES - No. 2968Details
- Abstract
- This paper uses a Bayesian Structural Vector Autoregressive (BSVAR) framework to estimate the pass-through of unexpected gas price supply shocks on HICP inflation in the euro area and its four largest economies. In comparison to oil price shocks, gas price shocks have approximately one-third smaller pass-through to headline inflation. Country-specific results indicate gas price increases matter more for German, Spanish and Italian inflation than for French inflation, hinging on the reliance on energy commodities in consumption, production, and different electricity prices regulation. Consistent with gas becoming a prominent energy commodity in the euro area, including time-variation through a time-varying parameter BVAR demonstrates a substantially larger impact of gas price shocks on HICP inflation in recent years. The empirical estimates are then rationalized using a New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) model augmented with energy. In the model, the elasticity of substitution between gas and non-energy inputs plays a critical role in explaining the inflationary effects of gas shocks. A decomposition of the recent inflation dynamics into the model structural shocks reveals a larger contribution of gas shocks compared to oil shocks.
- 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
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
Q41 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Energy→Demand and Supply, Prices
- 5 August 2024
- OCCASIONAL PAPER SERIES - No. 354Details
- Abstract
- The monitoring and analysis of the business cycle is a central element of inputs to monetary policy decision-making. This report contributes to the analysis of business cycles in the euro area in three dimensions. First, in terms of business cycle dating, it proposes automated procedures to characterise the business cycle situation of the euro area and its main components, across countries and sectors. Second, it investigates how business cycle synchronisation has evolved over the last 20 years. Third, it analyses business cycle drivers from several perspectives, including the financial and international dimension, interconnectedness, demand and supply. It also features an early analysis of the economic implications of the COVID-19 pandemic. Rather than reaching strong conclusions on the history of the euro area business cycle, the primary aim of the report is to promote sound methods and approaches that are part of ongoing enhancements of the analytical infrastructure designed to analyse hard-to-ascertain questions on the nature and characteristics of euro area business cycle dynamics.
- JEL Code
- C10 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→General
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
- 2 August 2024
- WORKING PAPER SERIES - No. 2967Details
- Abstract
- We study how monetary policy shapes the aggregate and distributional effects of an energy price shock. Based on the observed heterogeneity in consumption exposures to energy and household wealth, we build a quantitative small open-economy HANK model that matches salient features of the Euro Area data. Our model incorporates energy as both a consumption good for households with non-homothetic preferences as well as a factor input into production with input complementarities. Independently of policy energy price shocks always reduce aggregate consumption. Households with little wealth are more adversely affected through both a decline in labor income as well as negative direct price effects. Active policy responses raising rates in response to inflation amplifies aggregate outcomes through a reduction in aggregate demand, but speeds up the recovery by enabling households to rebuild wealth through higher returns on savings. However, low-wealth households are further adversely affected as they have little savings to rebuild wealth from and instead loose due to further declining labor income.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
Q43 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Energy→Energy and the Macroeconomy
- 2 August 2024
- DISCUSSION PAPER SERIESDetails
- Abstract
- We study whether it is desirable for the central bank to supply reserves abundantly, i.e. beyond the level that satisfies financial institutions’ aggregate liquidity needs. Using a theoretical framework, we demonstrate that abundant reserves would help fulfil the private sector’s demand for safe and liquid assets, because reserves affect financial institutions’ leverage constraints. More specifically, systematic central bank purchases of medium-term government bonds from financial institutions would relax those institutions’ leverage constraints and allow them to expand their balance sheets and issue more private liquidity, in the form of deposits. However, a very large increase in the average size of its balance sheet would expose the central bank to the risk of large financial losses. On balance, only amoderately larger supply of reserves than the level that satisfies financial institutions’ aggregate liquidity needs appears desirable.
- JEL Code
- E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 1 August 2024
- EBA/ECB REPORT
- 1 August 2024
- WORKING PAPER SERIES - No. 2966Details
- Abstract
- In this paper, we propose a new framework to jointly calibrate cyclical and structural capital requirements. For this, we integrate a non-linear macroeconomic model and a stress test model. In the macroeconomic model, the severity of the scenarios depends on the level of cyclical risk. Risk-related scenarios are used as inputs for the stress test model. Banks’ capital losses derived from a scenario based on a reference level of risk are used to set the structural requirement. Additional losses associated with the current risk scenario are used to set the cyclical requirement. This approach provides a transparent method to strike the balance between cyclical and structural requirements.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G01 : Financial Economics→General→Financial Crises
- 1 August 2024
- ECONOMIC BULLETIN
Tipos de interés
| Facilidad marginal de crédito | 4,50 % |
| Operaciones principales de financiación (tipo fijo) | 4,25 % |
| Facilidad de depósito | 3,75 % |
Tasa de inflación
Más información sobre la inflaciónTipos de cambio
| USD | US dollar | 1.1117 | |
| JPY | Japanese yen | 160.57 | |
| GBP | Pound sterling | 0.84163 | |
| CHF | Swiss franc | 0.9375 |
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¿Qué es el Banco Central Europeo?