Search Options
Home Publication Explainers Statistics Payments Career Monetary Policy
Suggestions
Sort by
Níl an t-ábhar seo ar fáil i nGaeilge.

Mara Pirovano

27 August 2015
OCCASIONAL PAPER SERIES - No. 8
Details
Abstract
This Occasional Paper presents a formal statistical evaluation of potential early warning indicators for real estate-related banking crises. Relying on data on real estate-related banking crises for 25 EU countries, a signalling approach is applied in both a non-parametric and a parametric (discrete choice) setting. Such an analysis evaluates the predictive power of potential early warning indicators on the basis of the trade-off between correctly predicting upcoming crisis events and issuing false alarms. The results in this paper provide an analytical underpinning for decision-making based on guided discretion with regard to the activation of macro-prudential instruments targeted to the real estate sector. After the publication of the ESRB Handbook and the Occasional Paper on the countercyclical capital buffer, it represents a next step in the ESRB’s work on the operationalisation of macroprudential policy in the banking sector. This Occasional Paper highlights the important role of both real estate price variables and credit developments in predicting real estate-related banking crises. The results indicate that, in addition to cyclical developments in these variables, it is crucial to monitor the structural dimension of real estate prices and credit. In multivariate settings macroeconomic and market variables such as the inflation rate and short-term interest rates may add to the early warning performance of these variables. Overall, the findings indicate that combining multiple variables improves early warning signalling performance compared with assessing each indicator separately, both in the non-parametric and the parametric approach. Combinations of the abovementioned indicators lead to lower probabilities of missing crises while at the same time not issuing too many false alarms. In addition to EU level, they also perform relatively well at individual country level. Even though the best performing indicators have relatively good signalling abilities at the individual country level, national authorities are encouraged to perform their own complementary analyses in a broader framework of systemic risk detection, which augments potential early warning indicators and methods with other relevant inputs and expert judgement.
JEL Code
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
27 March 2019
MACROPRUDENTIAL BULLETIN - ARTICLE - No. 7
Details
Abstract
This article presents the ECB framework for assessing financial stability risks stemming from residential real estate markets and for designing macroprudential policy responses. It reviews recent developments in residential real estate markets and policy initiatives to address risks.
JEL Code
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
R30 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→General
16 September 2019
MACROPRUDENTIAL BULLETIN - ARTICLE - No. 8
Details
Abstract
As discussions progress on the potential design of sectoral capital buffers both at the Basel Committee on Banking Supervision (BCBS) and European levels, this article discusses the advantages and shortcomings of the sectoral application of the countercyclical capital buffer for addressing sectoral systemic risks. A dynamic stochastic general equilibrium (DGSE) model is used to explore and compare the transmission channels of the countercyclical capital buffer (CCyB) and the sectoral countercyclical capital buffer (SCCyB), as well as their role in enhancing the resilience of banks and taming the procyclicality of credit. The model-based policy exercise indicates that, if risks are confined to one particular credit sector, a SCCyB could prove more effective than the CCyB in strengthening bank resilience to the target sector and in mitigating sectoral credit imbalances.
JEL Code
C68 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Computable General Equilibrium Models
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
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
20 December 2019
STATISTICS PAPER SERIES - No. 32
Details
Abstract
This paper describes the Macroprudential Database (MPDB) of the European CentralBank (ECB), which is an important component of the ECB’s Statistical DataWarehouse. After explaining the rationale for creating the MPDB, the paper illustrateshow it supports the macroprudential analysis conducted by the European System ofCentral Banks (ESCB), the European Systemic Risk Board (ESRB) and the nationalauthorities of the Single Supervisory Mechanism (SSM) and the European Union. Thestructure of the database and a broad overview of available indicators are thenpresented, with a description of the relevant confidentiality issues. Examples illustratehow the MPDB is used for monitoring purposes and econometric modelling. Finally,the paper discusses remaining data gaps and expected future enhancements of thedatabase.
JEL Code
C82 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Methodology for Collecting, Estimating, and Organizing Macroeconomic Data, Data Access
E60 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→General
26 May 2020
FINANCIAL STABILITY REVIEW - ARTICLE
Financial Stability Review Issue 1, 2020
Details
Abstract
It is often maintained that the recent real estate booms in many euro area countries have been accompanied by a loosening in lending standards. However, data for a thorough cross-country assessment of lending standards have been missing. This special feature uses a novel euro area dataset from a dedicated data collection covering significant institutions supervised by ECB Banking Supervision to analyse trends in real estate lending standards and derive implications for financial stability. First, lending standards for residential real estate loans in the euro area, in particular loan-to-income ratios, eased between 2016 and 2018. Given the significant deterioration in the euro area economic outlook since the coronavirus outbreak, this vulnerability seems of particular relevance. Second, lending standards appear to be looser in countries that saw stronger real estate expansions, suggesting that real estate vulnerabilities may have been growing in some euro area countries. Third, lending standards deteriorated less in countries with borrower-based macroprudential policies in place, highlighting the importance of early macroprudential policy action to help prevent the build-up of real estate vulnerabilities.
28 May 2021
WORKING PAPER SERIES - No. 2559
Details
Abstract
Since the global financial crises, many countries have implemented macroprudential policies with the aim to render the financial system more resilient to shocks and limit the procyclicality of the financial system. We present theoretical and empirical evidence on the effectiveness of macroprudential policy, on both, financial stability and economic growth focussing on capital measures and borrower-based measures.
JEL Code
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
Network
Discussion papers