Nėra lietuvių kalba
Martina Jančoková
- 11 October 2023
- WORKING PAPER SERIES - No. 2855Details
- Abstract
- The Banking Euro Area Stress Test (BEAST) is a large-scale semi-structural model developed to analyse the euro area banking system from a macroprudential perspective. The model combines the dynamics of approximately 90 of the largest euro area banks with those of individual euro area economies. It reflects the heterogeneity of banks by replicat-ing the structure of their balance sheets and profit and loss accounts. Additionally, it allows banks to adjust their assets, funding mix, pricing decisions, management buffers, and profit distribution along with individual bank conditions, including their capital and liquidity re-quirements, and other supervisory limits. The responses of banks impact credit supply con-ditions and have feedback effects on the macroeconomic environment. Stochastic solutions of the model provide a solid foundation for investigating multiple scenarios, deriving at-risk measures, and estimating model uncertainty. The model is regularly utilised to assess the resilience of the euro area banking sector, including in the biennial ECB macroprudential stress tests, as well as to analyse the effects of regulatory, macroprudential, and monetary policy changes.
- JEL Code
- E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
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
- 16 November 2021
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2021Details
- Abstract
- Fragilities created by the interaction of stretched valuations and corporate balance sheet vulnerabilities may represent a risk to financial stability. Corporate asset prices have soared at the same time as the pandemic shock has prompted an increase in the vulnerability and indebtedness of many corporates. In the current environment, where balance sheet fragilities depend on policy support and uncertainty about the recovery is still elevated, corporate vulnerabilities could re-emerge and stock and bond market prices may be more sensitive to reversals in global risk appetite. This box examines the increased sensitivity of US corporate markets to risk-off shocks when corporate vulnerabilities are high and considers the implications from a euro area perspective.
- JEL Code
- G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G15 : Financial Economics→General Financial Markets→International Financial Markets
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
- 9 August 2021
- WORKING PAPER SERIES - No. 2584Details
- Abstract
- We compare the findings of central bank researchers and academic economists regarding the macroeconomic effects of quantitative easing (QE). We find that central bank papers find QE to be more effective than academic papers do. Central bank papers report larger effects of QE on output and inflation. They also report QE effects on output that are more significant, both statistically and economically, and they use more positive language in the abstract. Central bank researchers who report larger QE effects on output experience more favorable career outcomes. A survey of central banks reveals substantial involvement of bank management in research production.
- JEL Code
- A11 : General Economics and Teaching→General Economics→Role of Economics, Role of Economists, Market for Economists
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
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 21 May 2021
- OCCASIONAL PAPER SERIES - No. 257Details
- Abstract
- This paper looks at the impact of mitigation policies implemented by supervisory and macroprudential authorities as well as national governments in the euro area during the coronavirus (COVID-19) pandemic to support lending to the real economy. The impact assessment concerns joint, and individual, effect of supervisory measures introduced by the ECB Banking Supervision, a reduction in macroprudential buffers put forward by national macroprudential authorities, and public moratoria and guarantee schemes. The analysis has been conducted in the first half of 2020, in a situation of high uncertainty about how the crisis will develop in the future. Against this backdrop, it proposes a method of addressing such uncertainty by assessing the impact of policies across a full range of scenarios. We find that the supervisory, macroprudential and government policies should have helped to maintain higher lending to the non-financial private sector (around 5% higher than lending in the absence of policy measures) and, in particular, to non-financial corporations (12% higher than lending in the absence of policy measures), preventing further amplification of the recession via the banking sector. The national and supervisory and macroprudential actions have reinforced each other, and have been jointly able to affect a broader share of the banking sector.
- JEL Code
- E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
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
- 23 June 2017
- WORKING PAPER SERIES - No. 2082Details
- Abstract
- Financial globalisation and spillovers have gained immense prominence over the last two decades. Yet, powerful cross-border financial spillover channels have not become a standard element of structural monetary models. Against this background, we hypothesise that New Keynesian DSGE models that do not feature powerful financial spillover channels confound the effects of domestic and foreign disturbances when confronted with the data. We derive predictions from this hypothesis and subject them to data on monetary policy shock estimates for 29 economies obtained from more than 280 monetary models in the literature. Consistent with the predictions from our hypothesis we find: Monetary policy shock estimates obtained from New Keynesian DSGE models that do not account for powerful financial spillover channels are contaminated by a common global component; the contamination is more severe for economies that are more susceptible to financial spillovers in the data; and the shock estimates imply implausibly similar estimates of the global output spillovers from monetary policy in the US and the euro area. None of these findings applies to monetary policy shock estimates obtained from VAR and other statistical models, financial market expectations and the narrative approach.
- JEL Code
- F42 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Policy Coordination and Transmission
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
C50 : Mathematical and Quantitative Methods→Econometric Modeling→General
- 16 December 2014
- WORKING PAPER SERIES - No. 1749Details
- Abstract
- This paper links granular data of financial institutions to global macroeconomic variables using an infinite-dimensional vector autoregressive (IVAR) model framework. The approach taken allows for an assessment of the two-way links between the financial system and the macroeconomy, while accounting for heterogeneity among financial institutions and the role of international linkages in the transmission of shocks. The model is estimated using macroeconomic data for 21 countries and default probability estimates for 35 euro area financial institutions. This framework is used to assess the impact of foreign macroeconomic shocks on default risks of euro area financial firms. In addition, spillover effects of firm-specific shocks are investigated. The model captures the important role of international linkages, showing that economic shocks in the US can generate a rise in the default probabilities of euro area firms that are of a significant magnitude compared to recent historical episodes such as the financial crisis. Moreover, the potential heterogeneity across financial firms
- JEL Code
- C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
G33 : Financial Economics→Corporate Finance and Governance→Bankruptcy, Liquidation